Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
25/07/2026
Full time
Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
25/07/2026
Full time
Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect, you'll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges, whether migrating from legacy on premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML ready data foundations. You'll translate ambiguous business requirements into scalable, cost effective analytics architectures that accelerate time to insight. You will join a team of specialist Solutions Architects who live and breathe data, passionate about query performance, storage optimisation, governance frameworks, and helping customers build data driven cultures. We thrive on solving the hardest analytics challenges, contributing to AWS service evolution through direct feedback loops with engineering teams, and elevating the broader analytics community through thought leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions - design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation - guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud native analytics, including ETL refactoring and performance validation. Partner with AWS AGS sales teams - collaborate with Account Managers and Account Solutions Architects to identify analytics opportunities, shape deal strategy, and position AWS against competitive alternatives. Deliver proofs of concept - build prototypes demonstrating query performance, cost optimisation, and scalability for customer specific analytics workloads. Create reference architectures - develop reusable blueprints for streaming ingestion, CDC pipelines, data mesh, and governed data sharing patterns. Advise enterprise customers - translate BI, reporting, and advanced analytics requirements into scalable, cost effective technical designs. Influence AWS service roadmaps - provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities. Collaborate across specialist teams - work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads. About the team We're the AWS Analytics Specialist Solutions Architecture team - a group of data professionals deeply passionate about query performance, lakehouse design, and helping customers turn data into decisions. We work across the full AWS analytics portfolio, partnering with service teams to shape product direction and with customers to solve their hardest data challenges. We value diverse backgrounds - whether you come from data engineering, BI, data science, or software development. Our inclusive team culture empowers everyone to contribute authentically, and our employee led communities celebrate the differences that make us stronger. We also prioritise work life balance through flexible working arrangements, because we believe sustainable careers produce the best outcomes - for our customers and ourselves. Basic Qualifications Bachelor's degree Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Experience architecting analytics or data platform solutions (e.g., data warehousing, data lakes, ETL/ELT pipelines, BI, or real time streaming) Experience delivering technical presentations, workshops, or thought leadership content to senior technical and business audiences Preferred Qualifications AWS certification, such as AWS Solutions Architect, or a similar cloud certification Knowledge of data structures, data modeling, and database schema Hands on experience with AWS analytics services such as Amazon Redshift, Athena, Glue, EMR, Kinesis, MSK, or QuickSight Experience migrating enterprise data warehouses (e.g., Teradata, Oracle Exadata, Netezza) or Hadoop environments to cloud native analytics platforms Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value diversity and seek to build a workforce that reflects the communities we serve.
25/07/2026
Full time
Drive the future of analytics and data intelligence by designing architectures that turn raw data into actionable insights at scale. As a Senior Analytics Solutions Architect, you'll partner with customers to architect end-to-end analytics platforms from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation challenges, whether migrating from legacy on premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML ready data foundations. You'll translate ambiguous business requirements into scalable, cost effective analytics architectures that accelerate time to insight. You will join a team of specialist Solutions Architects who live and breathe data, passionate about query performance, storage optimisation, governance frameworks, and helping customers build data driven cultures. We thrive on solving the hardest analytics challenges, contributing to AWS service evolution through direct feedback loops with engineering teams, and elevating the broader analytics community through thought leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions - design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation - guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud native analytics, including ETL refactoring and performance validation. Partner with AWS AGS sales teams - collaborate with Account Managers and Account Solutions Architects to identify analytics opportunities, shape deal strategy, and position AWS against competitive alternatives. Deliver proofs of concept - build prototypes demonstrating query performance, cost optimisation, and scalability for customer specific analytics workloads. Create reference architectures - develop reusable blueprints for streaming ingestion, CDC pipelines, data mesh, and governed data sharing patterns. Advise enterprise customers - translate BI, reporting, and advanced analytics requirements into scalable, cost effective technical designs. Influence AWS service roadmaps - provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities. Collaborate across specialist teams - work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads. About the team We're the AWS Analytics Specialist Solutions Architecture team - a group of data professionals deeply passionate about query performance, lakehouse design, and helping customers turn data into decisions. We work across the full AWS analytics portfolio, partnering with service teams to shape product direction and with customers to solve their hardest data challenges. We value diverse backgrounds - whether you come from data engineering, BI, data science, or software development. Our inclusive team culture empowers everyone to contribute authentically, and our employee led communities celebrate the differences that make us stronger. We also prioritise work life balance through flexible working arrangements, because we believe sustainable careers produce the best outcomes - for our customers and ourselves. Basic Qualifications Bachelor's degree Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Experience architecting analytics or data platform solutions (e.g., data warehousing, data lakes, ETL/ELT pipelines, BI, or real time streaming) Experience delivering technical presentations, workshops, or thought leadership content to senior technical and business audiences Preferred Qualifications AWS certification, such as AWS Solutions Architect, or a similar cloud certification Knowledge of data structures, data modeling, and database schema Hands on experience with AWS analytics services such as Amazon Redshift, Athena, Glue, EMR, Kinesis, MSK, or QuickSight Experience migrating enterprise data warehouses (e.g., Teradata, Oracle Exadata, Netezza) or Hadoop environments to cloud native analytics platforms Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value diversity and seek to build a workforce that reflects the communities we serve.
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
25/07/2026
Full time
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people centric and here to power good. Every day, we future proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Plat Engineering for on premises & cloud, IaC, CI/CD pipeline & tools, security, network, landing zones, observability, self servicing, DB automation ROLE PURPOSE Lead the design, build, and operational excellence of the organisation's cloud platform across private and public cloud environments. Own the end to end IaC based provisioning, configuration management, patch orchestration, and cloud governance framework. Drive the transformation from manual infrastructure operations to a fully automated, self service, policy governed cloud platform that delivers speed, security, cost efficiency, and reliability. KEY RESPONSIBILITIES Architect and implement IaC based cloud provisioning using Terraform, CloudFormation, or Pulumi across multi cloud and private cloud environments Design and automate end to end infrastructure lifecycle management: provisioning, patching, updates, scaling, and decommissioning Build and maintain cloud governance guardrails using policy as code (OPA, Sentinel, Azure Policy) to enforce security, cost, and compliance standards Implement FinOps practices including automated rightsizing, reserved instance management, waste detection, and cost allocation tagging Lead CI/CD pipeline engineering for infrastructure deployments, integrating automated testing, security scanning, and approval gates Design self service infrastructure portals enabling development teams to provision compliant environments without manual intervention Mentor and coach 2 Cloud Platform Engineers, establish coding standards, conduct architecture reviews, and drive knowledge sharing Collaborate with SRE and Security teams to embed reliability, observability, and compliance into the platform from the ground up Produce architectural decision records (ADRs), runbooks, and platform documentation for operational excellence TECHNICAL SKILLS & EXPERTISE Expert level IaC proficiency: Terraform (strongly preferred), CloudFormation, Pulumi, or Bicep Deep experience with at least two major cloud platforms: AWS, Azure, GCP, or VMware private cloud Strong experience with Kubernetes (EKS/AKS/GKE), container orchestration, and platform services Configuration management expertise: Ansible, Chef, Puppet, or SaltStack CI/CD tooling: Jenkins, GitLab CI, GitHub Actions, Azure DevOps for infrastructure pipelines Policy as code frameworks: OPA/Rego, HashiCorp Sentinel, Azure Policy, AWS Config Rules Monitoring and observability: Prometheus, Grafana, Datadog, CloudWatch, or Dynatrace Networking fundamentals: VPC/VNet design, load balancers, DNS, CDN, and hybrid connectivity SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in cloud/infrastructure engineering with 3+ years in a senior or lead capacity Proven track record of delivering large scale IaC transformation and cloud migration programmes Relevant certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, CKA/CKAD, or Terraform Associate/Professional Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Experience with FinOps frameworks and cloud cost optimisation at scale Background in platform engineering product management and internal developer platforms Experience with GitOps workflows (ArgoCD, Flux) and service mesh (Istio, Linkerd) About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co create meaningful solutions to complex challenges. We turn organisations into data driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
24/07/2026
Full time
We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people centric and here to power good. Every day, we future proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Plat Engineering for on premises & cloud, IaC, CI/CD pipeline & tools, security, network, landing zones, observability, self servicing, DB automation ROLE PURPOSE Lead the design, build, and operational excellence of the organisation's cloud platform across private and public cloud environments. Own the end to end IaC based provisioning, configuration management, patch orchestration, and cloud governance framework. Drive the transformation from manual infrastructure operations to a fully automated, self service, policy governed cloud platform that delivers speed, security, cost efficiency, and reliability. KEY RESPONSIBILITIES Architect and implement IaC based cloud provisioning using Terraform, CloudFormation, or Pulumi across multi cloud and private cloud environments Design and automate end to end infrastructure lifecycle management: provisioning, patching, updates, scaling, and decommissioning Build and maintain cloud governance guardrails using policy as code (OPA, Sentinel, Azure Policy) to enforce security, cost, and compliance standards Implement FinOps practices including automated rightsizing, reserved instance management, waste detection, and cost allocation tagging Lead CI/CD pipeline engineering for infrastructure deployments, integrating automated testing, security scanning, and approval gates Design self service infrastructure portals enabling development teams to provision compliant environments without manual intervention Mentor and coach 2 Cloud Platform Engineers, establish coding standards, conduct architecture reviews, and drive knowledge sharing Collaborate with SRE and Security teams to embed reliability, observability, and compliance into the platform from the ground up Produce architectural decision records (ADRs), runbooks, and platform documentation for operational excellence TECHNICAL SKILLS & EXPERTISE Expert level IaC proficiency: Terraform (strongly preferred), CloudFormation, Pulumi, or Bicep Deep experience with at least two major cloud platforms: AWS, Azure, GCP, or VMware private cloud Strong experience with Kubernetes (EKS/AKS/GKE), container orchestration, and platform services Configuration management expertise: Ansible, Chef, Puppet, or SaltStack CI/CD tooling: Jenkins, GitLab CI, GitHub Actions, Azure DevOps for infrastructure pipelines Policy as code frameworks: OPA/Rego, HashiCorp Sentinel, Azure Policy, AWS Config Rules Monitoring and observability: Prometheus, Grafana, Datadog, CloudWatch, or Dynatrace Networking fundamentals: VPC/VNet design, load balancers, DNS, CDN, and hybrid connectivity SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in cloud/infrastructure engineering with 3+ years in a senior or lead capacity Proven track record of delivering large scale IaC transformation and cloud migration programmes Relevant certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, CKA/CKAD, or Terraform Associate/Professional Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Experience with FinOps frameworks and cloud cost optimisation at scale Background in platform engineering product management and internal developer platforms Experience with GitOps workflows (ArgoCD, Flux) and service mesh (Istio, Linkerd) About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co create meaningful solutions to complex challenges. We turn organisations into data driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low ego individuals who thrive in dynamic and fast moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior level, high visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion. Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers. Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments. Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions. Partner closely with the Account Executive and leadership as the sole technical owner of the account, co developing the joint success plan and ensuring technical alignment across every active opportunity. Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption. Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice. OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE: 8+ years of experience in pre sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers. Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFIDII, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence. Strong hands on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise grade solutions live. Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent). Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions. Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts. Experience using AI and LLM based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context. BONUS POINTS FOR THE FOLLOWING: Direct experience working within or selling to capital markets firms, tier 1 banks, insurers, or global asset managers. Hands on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps. Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop). Experience with real time data architectures, streaming ingestion, and event driven data platforms in regulated environments. Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance requirements. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information:
23/07/2026
Full time
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low ego individuals who thrive in dynamic and fast moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior level, high visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion. Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers. Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments. Act as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake solutions. Partner closely with the Account Executive and leadership as the sole technical owner of the account, co developing the joint success plan and ensuring technical alignment across every active opportunity. Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption. Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice. OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE: 8+ years of experience in pre sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to financial services customers. Deep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFIDII, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligence. Strong hands on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise grade solutions live. Proficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent). Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutions. Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts. Experience using AI and LLM based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context. BONUS POINTS FOR THE FOLLOWING: Direct experience working within or selling to capital markets firms, tier 1 banks, insurers, or global asset managers. Hands on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps. Familiarity with financial services cloud migration patterns and the technical landscape of legacy platforms (Teradata, Oracle, Hadoop). Experience with real time data architectures, streaming ingestion, and event driven data platforms in regulated environments. Background in data mesh, data product design, or enterprise data governance frameworks relevant to FSI compliance requirements. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information:
Senior DevSecOps Engineer London (Hybrid - 1 day per week in office) £70,000-£100,000 + Benefits Certus Recruitment is partnering with an ambitious fintech business building a next-generation regulated financial platform. As they move from proof of concept to full production deployment, they are seeking a Senior DevSecOps Engineer to take ownership of the operational, infrastructure, and security foundations that will support long term growth. This is a high impact role for someone who enjoys building secure, scalable, and compliant environments from the ground up. You'll become the technical authority across infrastructure, cloud operations, DevSecOps, platform security, and compliance readiness, ensuring the business can meet the rigorous standards expected within a regulated financial environment. Working closely with engineering leadership, you will be responsible for creating the systems, controls, processes, and evidence required to support a secure and auditable production platform. Key Responsibilities Own infrastructure, platform security, and operational readiness across the business Design and implement secure cloud environments and production grade infrastructure Lead security initiatives including vulnerability management, threat modelling, penetration testing, and incident response planning Build and evolve CI/CD pipelines, release management processes, and deployment automation Establish observability, monitoring, logging, alerting, and operational runbooks Manage secrets, key custody, access controls, and infrastructure governance Deliver backup, disaster recovery, and business continuity strategies Drive compliance readiness for SOC 2, ISO 27001, and regulatory audits Partner with software engineering teams to ensure applications are secure, observable, and production ready Lead infrastructure migration and cloud hardening initiatives Required Experience 6+ years of engineering experience with at least 3 years focused on infrastructure, DevSecOps, platform engineering, or security Proven experience operating within highly regulated environments such as fintech, banking, payments, financial services, healthcare, defence, or similar sectors Experience taking systems from early stage development through to secure production deployment Strong background in cloud infrastructure, automation, and operational security Experience supporting or leading SOC 2 Type II and/or ISO 27001 programmes Strong documentation and communication skills with the ability to create clear technical and compliance focused artefacts Comfortable acting as the subject matter expert across security, infrastructure, and operational best practices Technical Experience Terraform and Infrastructure as Code environments Kubernetes, Docker, and containerised application deployment Modern CI/CD platforms including GitHub Actions, Cloud Build, Buildkite, CircleCI, or similar Cloud platforms, ideally GCP Observability tooling including Prometheus, Grafana, OpenTelemetry, or equivalent PostgreSQL operations, backup, recovery, and data durability Identity management, API gateways, networking, and access controls Bash and Python scripting for automation and tooling Desirable Experience Exposure to blockchain infrastructure, digital assets, or cryptocurrency ecosystems Experience with HSM, KMS, key management, or cryptographic systems Familiarity with Kubernetes security, service meshes, and zero trust architectures Knowledge of event driven architectures and messaging platforms such as Kafka Understanding of UK financial services regulation and compliance frameworks Experience supporting cloud migrations and multi environment platform strategies This is an opportunity to join a business at a pivotal stage of growth and play a leading role in building the infrastructure and security foundations of a highly regulated financial platform. The successful candidate will enjoy significant ownership, technical autonomy, and the opportunity to shape best practices from the ground up.
22/07/2026
Full time
Senior DevSecOps Engineer London (Hybrid - 1 day per week in office) £70,000-£100,000 + Benefits Certus Recruitment is partnering with an ambitious fintech business building a next-generation regulated financial platform. As they move from proof of concept to full production deployment, they are seeking a Senior DevSecOps Engineer to take ownership of the operational, infrastructure, and security foundations that will support long term growth. This is a high impact role for someone who enjoys building secure, scalable, and compliant environments from the ground up. You'll become the technical authority across infrastructure, cloud operations, DevSecOps, platform security, and compliance readiness, ensuring the business can meet the rigorous standards expected within a regulated financial environment. Working closely with engineering leadership, you will be responsible for creating the systems, controls, processes, and evidence required to support a secure and auditable production platform. Key Responsibilities Own infrastructure, platform security, and operational readiness across the business Design and implement secure cloud environments and production grade infrastructure Lead security initiatives including vulnerability management, threat modelling, penetration testing, and incident response planning Build and evolve CI/CD pipelines, release management processes, and deployment automation Establish observability, monitoring, logging, alerting, and operational runbooks Manage secrets, key custody, access controls, and infrastructure governance Deliver backup, disaster recovery, and business continuity strategies Drive compliance readiness for SOC 2, ISO 27001, and regulatory audits Partner with software engineering teams to ensure applications are secure, observable, and production ready Lead infrastructure migration and cloud hardening initiatives Required Experience 6+ years of engineering experience with at least 3 years focused on infrastructure, DevSecOps, platform engineering, or security Proven experience operating within highly regulated environments such as fintech, banking, payments, financial services, healthcare, defence, or similar sectors Experience taking systems from early stage development through to secure production deployment Strong background in cloud infrastructure, automation, and operational security Experience supporting or leading SOC 2 Type II and/or ISO 27001 programmes Strong documentation and communication skills with the ability to create clear technical and compliance focused artefacts Comfortable acting as the subject matter expert across security, infrastructure, and operational best practices Technical Experience Terraform and Infrastructure as Code environments Kubernetes, Docker, and containerised application deployment Modern CI/CD platforms including GitHub Actions, Cloud Build, Buildkite, CircleCI, or similar Cloud platforms, ideally GCP Observability tooling including Prometheus, Grafana, OpenTelemetry, or equivalent PostgreSQL operations, backup, recovery, and data durability Identity management, API gateways, networking, and access controls Bash and Python scripting for automation and tooling Desirable Experience Exposure to blockchain infrastructure, digital assets, or cryptocurrency ecosystems Experience with HSM, KMS, key management, or cryptographic systems Familiarity with Kubernetes security, service meshes, and zero trust architectures Knowledge of event driven architectures and messaging platforms such as Kafka Understanding of UK financial services regulation and compliance frameworks Experience supporting cloud migrations and multi environment platform strategies This is an opportunity to join a business at a pivotal stage of growth and play a leading role in building the infrastructure and security foundations of a highly regulated financial platform. The successful candidate will enjoy significant ownership, technical autonomy, and the opportunity to shape best practices from the ground up.
Job Description Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering, ensuring competitive advantage and scalability. Mentor and coach senior engineers across teams, elevating the technical bar and championing Software Engineering Communities of Practice. Serve as the key technical liaison for product, business, and security stakeholders, translating technical decisions into business impact. Lead the design and delivery of composable, secure, and scalable infrastructure systems and capabilities. Own the operational stability of production systems ("You Build It, You Run It"), automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement. Drive architectural standards and best practices across the organisation, leading technical evaluations with internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code (IaC) methodologies. Proven, hands on experience in system design, development, testing, and operational stability. Advanced proficiency in modern language(s) (e.g., Go, Java, Kotlin). Demonstrated technical leadership and cross-team collaboration. Hands on Security Engineering experience. Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Advanced knowledge of CI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh technologies (e.g., Istio, Linkerd, Cilium). Demonstrated success in Mentorship and Coaching both senior and junior engineers. Proven ability in Technical Roadmapping and defining long-term platform strategy. Stakeholder management and communication skills. About the EEO statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
22/07/2026
Full time
Job Description Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering, ensuring competitive advantage and scalability. Mentor and coach senior engineers across teams, elevating the technical bar and championing Software Engineering Communities of Practice. Serve as the key technical liaison for product, business, and security stakeholders, translating technical decisions into business impact. Lead the design and delivery of composable, secure, and scalable infrastructure systems and capabilities. Own the operational stability of production systems ("You Build It, You Run It"), automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement. Drive architectural standards and best practices across the organisation, leading technical evaluations with internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code (IaC) methodologies. Proven, hands on experience in system design, development, testing, and operational stability. Advanced proficiency in modern language(s) (e.g., Go, Java, Kotlin). Demonstrated technical leadership and cross-team collaboration. Hands on Security Engineering experience. Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Advanced knowledge of CI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh technologies (e.g., Istio, Linkerd, Cilium). Demonstrated success in Mentorship and Coaching both senior and junior engineers. Proven ability in Technical Roadmapping and defining long-term platform strategy. Stakeholder management and communication skills. About the EEO statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Job Title: Solution Architect Job Type: Contract Job Location: Sheffield Mandatory Skills: IAM, GCP Overview A leading global financial services organisation is undertaking a major multi-year Identity & Access Management (IAM) transformation programme to modernise and enhance identity services across a complex international technology landscape. The programme will redefine how identities are managed across the enterprise, spanning workforce, privileged, machine, agent, and workload identities. As part of this transformation, a number of next-generation identity capabilities and platforms will be designed and implemented using modern cloud-native technologies and security principles. We are seeking an experienced Solution Architect / Design Engineer to provide technical leadership across the programme, define target-state architectures, and ensure the successful delivery of secure, scalable, resilient, and supportable identity solutions. The successful candidate will work closely with architects, engineering teams, security stakeholders, and technology partners to translate business, security, and regulatory requirements into enterprise-grade IAM solutions. Key Responsibilities Produce High-Level Designs (HLDs) and Low-Level Designs (LLDs) for identity capabilities. Define end-to-end solution architectures across business, application, data, security, and infrastructure domains. Translate business, security, operational, and regulatory requirements into technical solutions. Develop architecture patterns, standards, and reference designs. Define integration patterns between identity platforms, applications, infrastructure, and cloud services. Design cloud-native identity solutions within containerised and cloud environments. Define authentication, authorisation, federation, and access control architectures. Design and support Human Identity, Agent Identity, and Workload Identity capabilities. Develop Zero Trust security architectures and trust boundary models. Design API security, service-to-service authentication, and workload authentication frameworks. Develop event-driven integration patterns using messaging and asynchronous processing technologies. Design Policy Decision Point (PDP) and Policy Enforcement Point (PEP) architectures using Policy-as-Code principles. Define PKI, certificate lifecycle management, secrets management, and cryptographic integration patterns. Design highly available, resilient, and disaster recovery capable solutions. Ensure solutions meet security, performance, scalability, resilience, and operational requirements. Produce architecture decision records (ADRs) and technical design documentation. Participate in Architecture Reviews, Design Authorities, and governance processes. Conduct technical assurance and solution reviews across internal and third-party deliveries. Identify risks, assumptions, issues, constraints, and dependencies across programme workstreams. Collaborate with Enterprise Architecture teams to ensure alignment to strategic target-state architecture. Support engineering teams throughout implementation, testing, and production readiness activities. Mentor engineers and promote architecture and engineering best practices. Evaluate emerging technologies and identity solutions against programme requirements. Support roadmap planning and future-state architecture development. Essential Experience & Skills Identity & Access Management Enterprise Identity & Access Management (IAM) Authentication and Authorisation Identity Federation Identity Governance & Administration (IGA) Privileged Access Management (PAM) Non-Human Identity Management Workload and Service Identity Identity Standards & Protocols OAuth 2.0 OpenID Connect (OIDC) SAML SCIM Security Architecture Zero Trust Architecture Security Architecture and Security Controls API Security Service-to-Service Authentication Secrets Management PKI and Certificate Management Cloud & Platform Technologies Google Cloud Platform (GCP) Kubernetes Cloud-Native Architecture Microservices Container Platforms Service Mesh Concepts Modern Architecture Event-Driven Architecture Messaging and Asynchronous Processing Policy-as-Code OPA (Open Policy Agent) and/or Cedar PDP / PEP Design Patterns Delivery & Governance Enterprise Solution Architecture Architecture Governance Risk Management Technical Leadership Stakeholder Management Architecture Review Boards Technical Design Assurance Desirable Experience Financial Services or other highly regulated environments. Large-scale transformation programmes. Identity modernisation initiatives. Cloud security and platform engineering. DevSecOps and CI/CD practices. Machine Identity and Agent Identity frameworks. Experience working across global, distributed delivery teams. Candidate Profile The ideal candidate will be an experienced Solution Architect with strong Identity & Access Management expertise and a proven track record delivering complex security and identity solutions within enterprise-scale environments. They will be comfortable operating across strategy, architecture, governance, and technical delivery while influencing senior stakeholders and driving architectural decisions across multiple workstreams. GCS is acting as an Employment Business in relation to this vacancy.
22/07/2026
Full time
Job Title: Solution Architect Job Type: Contract Job Location: Sheffield Mandatory Skills: IAM, GCP Overview A leading global financial services organisation is undertaking a major multi-year Identity & Access Management (IAM) transformation programme to modernise and enhance identity services across a complex international technology landscape. The programme will redefine how identities are managed across the enterprise, spanning workforce, privileged, machine, agent, and workload identities. As part of this transformation, a number of next-generation identity capabilities and platforms will be designed and implemented using modern cloud-native technologies and security principles. We are seeking an experienced Solution Architect / Design Engineer to provide technical leadership across the programme, define target-state architectures, and ensure the successful delivery of secure, scalable, resilient, and supportable identity solutions. The successful candidate will work closely with architects, engineering teams, security stakeholders, and technology partners to translate business, security, and regulatory requirements into enterprise-grade IAM solutions. Key Responsibilities Produce High-Level Designs (HLDs) and Low-Level Designs (LLDs) for identity capabilities. Define end-to-end solution architectures across business, application, data, security, and infrastructure domains. Translate business, security, operational, and regulatory requirements into technical solutions. Develop architecture patterns, standards, and reference designs. Define integration patterns between identity platforms, applications, infrastructure, and cloud services. Design cloud-native identity solutions within containerised and cloud environments. Define authentication, authorisation, federation, and access control architectures. Design and support Human Identity, Agent Identity, and Workload Identity capabilities. Develop Zero Trust security architectures and trust boundary models. Design API security, service-to-service authentication, and workload authentication frameworks. Develop event-driven integration patterns using messaging and asynchronous processing technologies. Design Policy Decision Point (PDP) and Policy Enforcement Point (PEP) architectures using Policy-as-Code principles. Define PKI, certificate lifecycle management, secrets management, and cryptographic integration patterns. Design highly available, resilient, and disaster recovery capable solutions. Ensure solutions meet security, performance, scalability, resilience, and operational requirements. Produce architecture decision records (ADRs) and technical design documentation. Participate in Architecture Reviews, Design Authorities, and governance processes. Conduct technical assurance and solution reviews across internal and third-party deliveries. Identify risks, assumptions, issues, constraints, and dependencies across programme workstreams. Collaborate with Enterprise Architecture teams to ensure alignment to strategic target-state architecture. Support engineering teams throughout implementation, testing, and production readiness activities. Mentor engineers and promote architecture and engineering best practices. Evaluate emerging technologies and identity solutions against programme requirements. Support roadmap planning and future-state architecture development. Essential Experience & Skills Identity & Access Management Enterprise Identity & Access Management (IAM) Authentication and Authorisation Identity Federation Identity Governance & Administration (IGA) Privileged Access Management (PAM) Non-Human Identity Management Workload and Service Identity Identity Standards & Protocols OAuth 2.0 OpenID Connect (OIDC) SAML SCIM Security Architecture Zero Trust Architecture Security Architecture and Security Controls API Security Service-to-Service Authentication Secrets Management PKI and Certificate Management Cloud & Platform Technologies Google Cloud Platform (GCP) Kubernetes Cloud-Native Architecture Microservices Container Platforms Service Mesh Concepts Modern Architecture Event-Driven Architecture Messaging and Asynchronous Processing Policy-as-Code OPA (Open Policy Agent) and/or Cedar PDP / PEP Design Patterns Delivery & Governance Enterprise Solution Architecture Architecture Governance Risk Management Technical Leadership Stakeholder Management Architecture Review Boards Technical Design Assurance Desirable Experience Financial Services or other highly regulated environments. Large-scale transformation programmes. Identity modernisation initiatives. Cloud security and platform engineering. DevSecOps and CI/CD practices. Machine Identity and Agent Identity frameworks. Experience working across global, distributed delivery teams. Candidate Profile The ideal candidate will be an experienced Solution Architect with strong Identity & Access Management expertise and a proven track record delivering complex security and identity solutions within enterprise-scale environments. They will be comfortable operating across strategy, architecture, governance, and technical delivery while influencing senior stakeholders and driving architectural decisions across multiple workstreams. GCS is acting as an Employment Business in relation to this vacancy.
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Data Science group sits within Black Duck's Data Engineering organisation, operating as a centre of excellence in statistical analysis, machine learning engineering, and applied AI. We work at the intersection of cybersecurity and data intelligence; building models, evaluation frameworks, and AI-powered capabilities that directly shape how tens of thousands of developers and security teams understand and respond to risk. Our work spans predictive analytics, behavioural modelling, LLM integration, and the development of internal AI platforms. We're opinionated about quality, curious by default, and outcome-driven in everything we ship. Our Values Trust: We'd rather be late than wrong. Our work is only as valuable as its credibility. Collaboration: We have deep technical expertise, but we work shoulder-to-shoulder with the subject matter experts who define what "correct" actually means in our domain. Results: We're outcome-driven. Research has value, but it has more value when it's written up, shipped, or handed off. Curiosity: Exploration is core to what we do - including the dead ends. (It's not science unless you write it down.) Fun: We work in a genuinely strange corner of the data world. Revel in it. About the Role As a Senior Data Scientist, you will own the design, development, and production deployment of machine learning and AI systems that drive measurable outcomes across Black Duck's cybersecurity platforms. This is primarily a technical individual contributor role - we're looking for someone who can take a problem from framing through to a shipped, evaluated, production system, and who brings genuine depth in ML/AI engineering rather than general data work. Data infrastructure and pipeline ownership sits with our dedicated Data Engineering function. Your focus is on what we do with that data: building models, evaluating them rigorously, integrating AI capabilities into products and internal tooling, and helping shape how the team approaches applied AI at scale. The role is primarily based at our Belfast R&D site. UK/EMEA remote or hybrid applicants will be considered, with at least quarterly travel to Belfast expected. Additional conference and collaboration opportunities are available commensurate with your impact. Key Responsibilities Design, develop, and maintain machine learning and AI systems, from prototype through to production, with clear evaluation criteria and operational handover Lead the integration of LLM and agentic AI capabilities into Black Duck products and internal platforms (including prompt engineering, retrieval-augmented generation, and tool/agent orchestration) Design and own LLM evaluation frameworks: defining task specific metrics, building offline and online eval pipelines, running structured comparisons across models and configurations, and producing clear recommendations with supporting evidence Conduct cost benefit analysis on AI/ML system decisions: model / architecture / methodology selection, operational costs, build vs buy trade offs, and quantifying the value of AI/ML interventions against baseline approaches; communicating findings clearly to technical and non technical stakeholders Collaborate with R&D and Product Engineering to embed AI capabilities into existing workflows and surfaces Contribute to the team's shared practices around model governance, reproducibility, and responsible AI use Mentor team members, peers and the wider organisation on evolving and emerging ML/AI engineering practices and help continuously maintain the organisation's technical standards Key Qualifications 5+ years of hands on experience in data science, machine learning engineering, or applied AI - with demonstrable delivery of production ML/AI systems, not just research or analysis Strong Software engineering proficiency; you can design and deliver a project or module from scratch that others can build on Experience deploying ML/AI models in production on cloud infrastructure (AWS, Azure, or GCP) and/or Kubernetes workloads Practical experience with ML/AI development stacks: PyTorch, scikit learn, HuggingFace or equivalent; experiment tracking (MLflow, W&B or similar); and model evaluation tooling Experience designing and executing LLM evaluations: building eval datasets, defining metrics, running model comparisons, and translating results into actionable decisions Experience conducting cost benefit or trade off analysis on AI systems; weighing inference cost, latency, accuracy, and operational complexity against business or product value Familiarity with agentic AI patterns: tool use, multi step reasoning, agent orchestration (LangChain, LangGraph, or equivalent) Experience working with LLMs via API integration, prompt engineering, and RAG pipelines Experience with Jupyter and standard scientific Python (pandas, numpy, scipy) Ability to operate independently on multi month projects, manage your own priorities, and communicate clearly across engineering and non engineering stakeholders Hands on experience with AI assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) Nice to Have Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, or a related field (or demonstrated equivalent through portfolio and track record) Familiarity with cybersecurity concepts, application security testing, or software supply chain risk Experience with data/feature stores, model registries, or MLOps tooling (Airflow, DBT, Databricks, or equivalent) Familiarity with Data Mesh or Data Product concepts Experience with enterprise data visualisation (Power BI, Grafana, Snowflake, Databricks dashboards) Comfort in Linux/CLI environments and experience contributing to shared codebases (Git, code review, CI/CD) Track record of written or public communication: internal documentation, papers, blog posts, or conference contributions Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.
19/07/2026
Full time
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Data Science group sits within Black Duck's Data Engineering organisation, operating as a centre of excellence in statistical analysis, machine learning engineering, and applied AI. We work at the intersection of cybersecurity and data intelligence; building models, evaluation frameworks, and AI-powered capabilities that directly shape how tens of thousands of developers and security teams understand and respond to risk. Our work spans predictive analytics, behavioural modelling, LLM integration, and the development of internal AI platforms. We're opinionated about quality, curious by default, and outcome-driven in everything we ship. Our Values Trust: We'd rather be late than wrong. Our work is only as valuable as its credibility. Collaboration: We have deep technical expertise, but we work shoulder-to-shoulder with the subject matter experts who define what "correct" actually means in our domain. Results: We're outcome-driven. Research has value, but it has more value when it's written up, shipped, or handed off. Curiosity: Exploration is core to what we do - including the dead ends. (It's not science unless you write it down.) Fun: We work in a genuinely strange corner of the data world. Revel in it. About the Role As a Senior Data Scientist, you will own the design, development, and production deployment of machine learning and AI systems that drive measurable outcomes across Black Duck's cybersecurity platforms. This is primarily a technical individual contributor role - we're looking for someone who can take a problem from framing through to a shipped, evaluated, production system, and who brings genuine depth in ML/AI engineering rather than general data work. Data infrastructure and pipeline ownership sits with our dedicated Data Engineering function. Your focus is on what we do with that data: building models, evaluating them rigorously, integrating AI capabilities into products and internal tooling, and helping shape how the team approaches applied AI at scale. The role is primarily based at our Belfast R&D site. UK/EMEA remote or hybrid applicants will be considered, with at least quarterly travel to Belfast expected. Additional conference and collaboration opportunities are available commensurate with your impact. Key Responsibilities Design, develop, and maintain machine learning and AI systems, from prototype through to production, with clear evaluation criteria and operational handover Lead the integration of LLM and agentic AI capabilities into Black Duck products and internal platforms (including prompt engineering, retrieval-augmented generation, and tool/agent orchestration) Design and own LLM evaluation frameworks: defining task specific metrics, building offline and online eval pipelines, running structured comparisons across models and configurations, and producing clear recommendations with supporting evidence Conduct cost benefit analysis on AI/ML system decisions: model / architecture / methodology selection, operational costs, build vs buy trade offs, and quantifying the value of AI/ML interventions against baseline approaches; communicating findings clearly to technical and non technical stakeholders Collaborate with R&D and Product Engineering to embed AI capabilities into existing workflows and surfaces Contribute to the team's shared practices around model governance, reproducibility, and responsible AI use Mentor team members, peers and the wider organisation on evolving and emerging ML/AI engineering practices and help continuously maintain the organisation's technical standards Key Qualifications 5+ years of hands on experience in data science, machine learning engineering, or applied AI - with demonstrable delivery of production ML/AI systems, not just research or analysis Strong Software engineering proficiency; you can design and deliver a project or module from scratch that others can build on Experience deploying ML/AI models in production on cloud infrastructure (AWS, Azure, or GCP) and/or Kubernetes workloads Practical experience with ML/AI development stacks: PyTorch, scikit learn, HuggingFace or equivalent; experiment tracking (MLflow, W&B or similar); and model evaluation tooling Experience designing and executing LLM evaluations: building eval datasets, defining metrics, running model comparisons, and translating results into actionable decisions Experience conducting cost benefit or trade off analysis on AI systems; weighing inference cost, latency, accuracy, and operational complexity against business or product value Familiarity with agentic AI patterns: tool use, multi step reasoning, agent orchestration (LangChain, LangGraph, or equivalent) Experience working with LLMs via API integration, prompt engineering, and RAG pipelines Experience with Jupyter and standard scientific Python (pandas, numpy, scipy) Ability to operate independently on multi month projects, manage your own priorities, and communicate clearly across engineering and non engineering stakeholders Hands on experience with AI assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) Nice to Have Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, or a related field (or demonstrated equivalent through portfolio and track record) Familiarity with cybersecurity concepts, application security testing, or software supply chain risk Experience with data/feature stores, model registries, or MLOps tooling (Airflow, DBT, Databricks, or equivalent) Familiarity with Data Mesh or Data Product concepts Experience with enterprise data visualisation (Power BI, Grafana, Snowflake, Databricks dashboards) Comfort in Linux/CLI environments and experience contributing to shared codebases (Git, code review, CI/CD) Track record of written or public communication: internal documentation, papers, blog posts, or conference contributions Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering, ensuring competitive advantage and scalability. Mentor and coach senior engineers across teams, elevating the technical bar and championing Software Engineering Communities of Practice. Serve as the key technical liaison for product, business, and security stakeholders, translating technical decisions into business impact. Lead the design and delivery of composable, secure, and scalable infrastructure systems and capabilities. Own the operational stability of production systems ("You Build It, You Run It"), automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement. Drive architectural standards and best practices across the organisation, leading technical evaluations with internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code (IaC) methodologies. Proven, hands on experience in system design, development, testing, and operational stability. Advanced proficiency in modern language(s) (e.g., Go, Java, Kotlin). Demonstrated technical leadership and cross team collaboration. Hands on Security Engineering experience. Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Advanced knowledge of CI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh technologies (e.g., Istio, Linkerd, Cilium). Demonstrated success in Mentorship and Coaching both senior and junior engineers. Proven ability in Technical Roadmapping and defining long term platform strategy. Stakeholder management and communication skills.
19/07/2026
Full time
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer at JPMorgan Chase within the Accelerator Business in the Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference - on us as a company, and on our clients and business partners around the world. Job responsibilities Work with senior stakeholders to define and drive the multi-year technical roadmap and long-term architectural strategy for platform engineering, ensuring competitive advantage and scalability. Mentor and coach senior engineers across teams, elevating the technical bar and championing Software Engineering Communities of Practice. Serve as the key technical liaison for product, business, and security stakeholders, translating technical decisions into business impact. Lead the design and delivery of composable, secure, and scalable infrastructure systems and capabilities. Own the operational stability of production systems ("You Build It, You Run It"), automating recurring issues and establishing DORA/SLIs/SLOs metrics for continuous improvement. Drive architectural standards and best practices across the organisation, leading technical evaluations with internal and external partners. Champion FinOps principles to drive significant cloud cost optimisation and guide performance tuning of distributed systems. Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code (IaC) methodologies. Proven, hands on experience in system design, development, testing, and operational stability. Advanced proficiency in modern language(s) (e.g., Go, Java, Kotlin). Demonstrated technical leadership and cross team collaboration. Hands on Security Engineering experience. Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Advanced knowledge of CI/CD, application resiliency, and secure delivery (e.g., SLSA framework and GitOps). Deep experience with Observability and Monitoring tools (e.g., Prometheus, Grafana, OTEL). Expertise in performance optimisation of distributed systems (e.g., caching, network latency). Practical experience with Service Mesh technologies (e.g., Istio, Linkerd, Cilium). Demonstrated success in Mentorship and Coaching both senior and junior engineers. Proven ability in Technical Roadmapping and defining long term platform strategy. Stakeholder management and communication skills.
As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering. We are looking for individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
13/07/2026
Full time
As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering. We are looking for individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
Job Description Purpose of the role: To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, plan for the department's future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. They may also lead specialists to influence the operations of a department, aligning with strategic and tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. As a people leader, the expected behaviours are listening and authenticity, energizing and inspiring, aligning across the enterprise, and developing others. As an individual contributor, the role is a subject matter expert within own discipline and will guide technical direction, lead collaborative, multi year assignments, identify the need for inclusion of other areas of specialization, train, guide and coach specialists, and provide information affecting long term profits, organisational risks and strategic decisions. Stakeholders will be advised, risks mitigated, and leadership displayed in managing risk and strengthening controls, with a comprehensive understanding of organisational functions to contribute to achieving business goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real time data processing. Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation. Additional skills: Risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job specific technical skills. Location This role is based out of Knutsford. Other Information All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset - to Empower, Challenge and Drive.
12/07/2026
Full time
Job Description Purpose of the role: To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures. If managing a team, they define jobs and responsibilities, plan for the department's future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. They may also lead specialists to influence the operations of a department, aligning with strategic and tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. As a people leader, the expected behaviours are listening and authenticity, energizing and inspiring, aligning across the enterprise, and developing others. As an individual contributor, the role is a subject matter expert within own discipline and will guide technical direction, lead collaborative, multi year assignments, identify the need for inclusion of other areas of specialization, train, guide and coach specialists, and provide information affecting long term profits, organisational risks and strategic decisions. Stakeholders will be advised, risks mitigated, and leadership displayed in managing risk and strengthening controls, with a comprehensive understanding of organisational functions to contribute to achieving business goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real time data processing. Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation. Additional skills: Risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job specific technical skills. Location This role is based out of Knutsford. Other Information All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset - to Empower, Challenge and Drive.
Role Platform Architect Technology Snowflake, Confluent Cloud, CICD, Fivetran, AKS, K8 Location London, UK Compensation Competitive (including bonus) Job Description We are seeking a highly experienced Platform Architect to lead the architecture, governance, modernization, and operational excellence of enterprise scale Data and Integration Platforms across Snowflake, Confluent Cloud Kafka, Azure Cloud, GitHub Actions CI/CD, Kubernetes, Data Mesh, and broader integration ecosystems. The ideal candidate will combine deep technical expertise with strategic architecture leadership, strong customer engagement skills, and the ability to provide hands on guidance across multiple platform domains. This role will be responsible for shaping the platform strategy, defining architectural standards and best practices, and driving technology transformation initiatives that deliver scalable, secure, resilient, and business aligned solutions. Your role & Responsibilities Define enterprise platform architecture, reference architecture, standards, and engineering guardrails. Build modernization roadmaps for Data, Streaming, Integration, and Platform Engineering ecosystems. Drive architecture reviews, technology evaluations, and platform transformation initiatives. Establish governance, security, resilience, scalability, and cost optimization frameworks. Lead Snowflake architecture covering security, governance, RBAC, data sharing, performance optimization, and multi environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/DR, and cluster strategy. Establish enterprise integration patterns using Kafka, Kafka Connect, APIs, and streaming architectures. Define and implement CI/CD standards using GitHub Actions. Drive Infrastructure as Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams to enable scalable data products. Required Multiple years in Platform Engineering, Cloud, Integration, or Data Platforms. Must have 1 large program where the person has implemented a multi technology platform for data on cloud. Strong expertise in Snowflake and/or Confluent Kafka. Experience with Confluent Cloud, Kafka Connect, Schema Registry, and event driven architecture. Hands on experience with GitHub Actions, CI/CD, DevOps automation, and Infrastructure as Code. Experience with Azure/AWS/GCP cloud platforms. Strong knowledge of Kubernetes, containerization, and cloud native platforms. Deep understanding of Data Mesh, Data Governance, Security, and Compliance. Experience with observability, monitoring, and platform operations. Strong stakeholder management and customer facing experience. Experience working in Agile delivery environments. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Overview Infosys is a global leader in next generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI first core, empower the business with agile digital at scale and drive continuous improvement with always on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
10/07/2026
Full time
Role Platform Architect Technology Snowflake, Confluent Cloud, CICD, Fivetran, AKS, K8 Location London, UK Compensation Competitive (including bonus) Job Description We are seeking a highly experienced Platform Architect to lead the architecture, governance, modernization, and operational excellence of enterprise scale Data and Integration Platforms across Snowflake, Confluent Cloud Kafka, Azure Cloud, GitHub Actions CI/CD, Kubernetes, Data Mesh, and broader integration ecosystems. The ideal candidate will combine deep technical expertise with strategic architecture leadership, strong customer engagement skills, and the ability to provide hands on guidance across multiple platform domains. This role will be responsible for shaping the platform strategy, defining architectural standards and best practices, and driving technology transformation initiatives that deliver scalable, secure, resilient, and business aligned solutions. Your role & Responsibilities Define enterprise platform architecture, reference architecture, standards, and engineering guardrails. Build modernization roadmaps for Data, Streaming, Integration, and Platform Engineering ecosystems. Drive architecture reviews, technology evaluations, and platform transformation initiatives. Establish governance, security, resilience, scalability, and cost optimization frameworks. Lead Snowflake architecture covering security, governance, RBAC, data sharing, performance optimization, and multi environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/DR, and cluster strategy. Establish enterprise integration patterns using Kafka, Kafka Connect, APIs, and streaming architectures. Define and implement CI/CD standards using GitHub Actions. Drive Infrastructure as Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams to enable scalable data products. Required Multiple years in Platform Engineering, Cloud, Integration, or Data Platforms. Must have 1 large program where the person has implemented a multi technology platform for data on cloud. Strong expertise in Snowflake and/or Confluent Kafka. Experience with Confluent Cloud, Kafka Connect, Schema Registry, and event driven architecture. Hands on experience with GitHub Actions, CI/CD, DevOps automation, and Infrastructure as Code. Experience with Azure/AWS/GCP cloud platforms. Strong knowledge of Kubernetes, containerization, and cloud native platforms. Deep understanding of Data Mesh, Data Governance, Security, and Compliance. Experience with observability, monitoring, and platform operations. Strong stakeholder management and customer facing experience. Experience working in Agile delivery environments. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Overview Infosys is a global leader in next generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI first core, empower the business with agile digital at scale and drive continuous improvement with always on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
As a Principal Architect at JPMorganChase within the Corporate Technology team, you are an integral part of a team that works to develop and assist the development of high-quality architecture strategy and solutions for various software applications and platform products. You drive significant business impact and help shape the target state architecture through your capabilities across multiple architecture domains. You will serve as a strategic technology leader, defining and governing end-to-end solution architectures for critical platforms and transformation programs. You will partner closely with CTOs, Chief Architects, and senior engineering leaders to deliver business and technology strategy. Your role blends deep architectural expertise with executive presence, enabling you to influence both business and technology senior stakeholders and provide hands on guidance to engineering teams as needed. You will help accelerate delivery, embed security and resiliency, and foster a high-performing architecture community. Job responsibilities Translates business strategy into pragmatic solution roadmaps and reference architectures Drives architecture decisions balancing resilience, scalability, latency, cost, risk, and time to market Sets and enforces design principles, patterns, and guardrails across portfolios Chairs or contributes to Architecture Review Boards, ensuring compliance with enterprise standards and regulatory obligations Builds trusted advisor relationships with CTOs, Chief Architects, and senior leaders to co create technology strategy and execution plans Facilitates outcome focused dialogue between business, product, and technology leaders to align trade offs and secure buy in Guides programs from concept to production, shaping epics and non functional requirements, and ensuring traceability to business outcomes Provides hands on oversight and coaching to domain architects and engineering leads, intervening in complex design issues as needed Owns target and transitional architectures for complex, multi region systems across customer, risk, finance, data, and payments domains Mentors and develops high performing architects, fostering a community of practice and promoting reusability through reference implementations Required qualifications, capabilities, and skills Formal experience, training or certification on software engineering concepts and proven experience Significant experience of influencing senior technology leaders at scale in complex, regulated environments (preferably global financial services) Proven track record leading architecture for large, distributed, mission critical systems with 24x7 operations and high resiliency targets Deep expertise in architecture patterns: microservices, event driven and streaming architectures, API led connectivity, data mesh/lakehouse, CQRS, and domain driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration and legacy modernization: messaging, APIs, eventing, SOA to microservices transitions, mainframe integration, and strangler fig approaches Executive presence with ability to simplify complexity and influence outcomes across senior stakeholders in both the business and technology Strong vendor management and build/buy/partner decisioning; experience shaping multi year investment portfolios Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience) Preferred qualifications, capabilities, and skills Relevant certifications (e.g., AWS/Azure/GCP Architect, TOGAF, CISSP, SAFe) Experience in global financial services and regulated environments Hands on pragmatism; able to review designs and code level artifacts while maintaining a strategic lens Experience with platform engineering, green software, and confidential computing Strong communication and relationship building skills across C suite and engineering teams Experience mentoring and developing architecture talent Familiarity with compliance regimes (e.g., EBA, PRA, OCC, MAS) and architecture support for regulatory requirements We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
08/07/2026
Full time
As a Principal Architect at JPMorganChase within the Corporate Technology team, you are an integral part of a team that works to develop and assist the development of high-quality architecture strategy and solutions for various software applications and platform products. You drive significant business impact and help shape the target state architecture through your capabilities across multiple architecture domains. You will serve as a strategic technology leader, defining and governing end-to-end solution architectures for critical platforms and transformation programs. You will partner closely with CTOs, Chief Architects, and senior engineering leaders to deliver business and technology strategy. Your role blends deep architectural expertise with executive presence, enabling you to influence both business and technology senior stakeholders and provide hands on guidance to engineering teams as needed. You will help accelerate delivery, embed security and resiliency, and foster a high-performing architecture community. Job responsibilities Translates business strategy into pragmatic solution roadmaps and reference architectures Drives architecture decisions balancing resilience, scalability, latency, cost, risk, and time to market Sets and enforces design principles, patterns, and guardrails across portfolios Chairs or contributes to Architecture Review Boards, ensuring compliance with enterprise standards and regulatory obligations Builds trusted advisor relationships with CTOs, Chief Architects, and senior leaders to co create technology strategy and execution plans Facilitates outcome focused dialogue between business, product, and technology leaders to align trade offs and secure buy in Guides programs from concept to production, shaping epics and non functional requirements, and ensuring traceability to business outcomes Provides hands on oversight and coaching to domain architects and engineering leads, intervening in complex design issues as needed Owns target and transitional architectures for complex, multi region systems across customer, risk, finance, data, and payments domains Mentors and develops high performing architects, fostering a community of practice and promoting reusability through reference implementations Required qualifications, capabilities, and skills Formal experience, training or certification on software engineering concepts and proven experience Significant experience of influencing senior technology leaders at scale in complex, regulated environments (preferably global financial services) Proven track record leading architecture for large, distributed, mission critical systems with 24x7 operations and high resiliency targets Deep expertise in architecture patterns: microservices, event driven and streaming architectures, API led connectivity, data mesh/lakehouse, CQRS, and domain driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration and legacy modernization: messaging, APIs, eventing, SOA to microservices transitions, mainframe integration, and strangler fig approaches Executive presence with ability to simplify complexity and influence outcomes across senior stakeholders in both the business and technology Strong vendor management and build/buy/partner decisioning; experience shaping multi year investment portfolios Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience) Preferred qualifications, capabilities, and skills Relevant certifications (e.g., AWS/Azure/GCP Architect, TOGAF, CISSP, SAFe) Experience in global financial services and regulated environments Hands on pragmatism; able to review designs and code level artifacts while maintaining a strategic lens Experience with platform engineering, green software, and confidential computing Strong communication and relationship building skills across C suite and engineering teams Experience mentoring and developing architecture talent Familiarity with compliance regimes (e.g., EBA, PRA, OCC, MAS) and architecture support for regulatory requirements We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
As a Principal Architect at JPMorganChase within the Corporate Technology team, you are an integral part of a team that works to develop and assist the development of high-quality architecture strategy and solutions for various software applications and platform products. You drive significant business impact and help shape the target state architecture through your capabilities across multiple architecture domains. You will serve as a strategic technology leader, defining and governing end-to-end solution architectures for critical platforms and transformation programs. You will partner closely with CTOs, Chief Architects, and senior engineering leaders to deliver business and technology strategy. Your role blends deep architectural expertise with executive presence, enabling you to influence both business and technology senior stakeholders and provide hands on guidance to engineering teams as needed. You will help accelerate delivery, embed security and resiliency, and foster a high performing architecture community. Job responsibilities Translates business strategy into pragmatic solution roadmaps and reference architectures Drives architecture decisions balancing resilience, scalability, latency, cost, risk, and time to market Sets and enforces design principles, patterns, and guardrails across portfolios Chairs or contributes to Architecture Review Boards, ensuring compliance with enterprise standards and regulatory obligations Builds trusted advisor relationships with CTOs, Chief Architects, and senior leaders to co create technology strategy and execution plans Facilitates outcome focused dialogue between business, product, and technology leaders to align trade offs and secure buy in Guides programs from concept to production, shaping epics and non functional requirements, and ensuring traceability to business outcomes Provides hands on oversight and coaching to domain architects and engineering leads, intervening in complex design issues as needed Owns target and transitional architectures for complex, multi region systems across customer, risk, finance, data, and payments domains Mentors and develops high performing architects, fostering a community of practice and promoting reusability through reference implementations Required qualifications, capabilities, and skills Formal experience, training or certification on software engineering concepts and proven experience Significant experience of influencing senior technology leaders at scale in complex, regulated environments (preferably global financial services) Proven track record leading architecture for large, distributed, mission critical systems with 24x7 operations and high resiliency targets Deep expertise in architecture patterns: microservices, event driven and streaming architectures, API led connectivity, data mesh/lakehouse, CQRS, and domain driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration and legacy modernization: messaging, APIs, eventing, SOA to microservices transitions, mainframe integration, and strangler fig approaches Executive presence with ability to simplify complexity and influence outcomes across senior stakeholders in both the business and technology Strong vendor management and build/buy/partner decisioning; experience shaping multi year investment portfolios Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience) Preferred qualifications, capabilities, and skills Relevant certifications (e.g., AWS/Azure/GCP Architect, TOGAF, CISSP, SAFe) Experience in global financial services and regulated environments Hands on pragmatism; able to review designs and code level artifacts while maintaining a strategic lens Experience with platform engineering, green software, and confidential computing Strong communication and relationship building skills across C suite and engineering teams Experience mentoring and developing architecture talent Familiarity with compliance regimes (e.g., EBA, PRA, OCC, MAS) and architecture support for regulatory requirements
06/07/2026
Full time
As a Principal Architect at JPMorganChase within the Corporate Technology team, you are an integral part of a team that works to develop and assist the development of high-quality architecture strategy and solutions for various software applications and platform products. You drive significant business impact and help shape the target state architecture through your capabilities across multiple architecture domains. You will serve as a strategic technology leader, defining and governing end-to-end solution architectures for critical platforms and transformation programs. You will partner closely with CTOs, Chief Architects, and senior engineering leaders to deliver business and technology strategy. Your role blends deep architectural expertise with executive presence, enabling you to influence both business and technology senior stakeholders and provide hands on guidance to engineering teams as needed. You will help accelerate delivery, embed security and resiliency, and foster a high performing architecture community. Job responsibilities Translates business strategy into pragmatic solution roadmaps and reference architectures Drives architecture decisions balancing resilience, scalability, latency, cost, risk, and time to market Sets and enforces design principles, patterns, and guardrails across portfolios Chairs or contributes to Architecture Review Boards, ensuring compliance with enterprise standards and regulatory obligations Builds trusted advisor relationships with CTOs, Chief Architects, and senior leaders to co create technology strategy and execution plans Facilitates outcome focused dialogue between business, product, and technology leaders to align trade offs and secure buy in Guides programs from concept to production, shaping epics and non functional requirements, and ensuring traceability to business outcomes Provides hands on oversight and coaching to domain architects and engineering leads, intervening in complex design issues as needed Owns target and transitional architectures for complex, multi region systems across customer, risk, finance, data, and payments domains Mentors and develops high performing architects, fostering a community of practice and promoting reusability through reference implementations Required qualifications, capabilities, and skills Formal experience, training or certification on software engineering concepts and proven experience Significant experience of influencing senior technology leaders at scale in complex, regulated environments (preferably global financial services) Proven track record leading architecture for large, distributed, mission critical systems with 24x7 operations and high resiliency targets Deep expertise in architecture patterns: microservices, event driven and streaming architectures, API led connectivity, data mesh/lakehouse, CQRS, and domain driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration and legacy modernization: messaging, APIs, eventing, SOA to microservices transitions, mainframe integration, and strangler fig approaches Executive presence with ability to simplify complexity and influence outcomes across senior stakeholders in both the business and technology Strong vendor management and build/buy/partner decisioning; experience shaping multi year investment portfolios Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience) Preferred qualifications, capabilities, and skills Relevant certifications (e.g., AWS/Azure/GCP Architect, TOGAF, CISSP, SAFe) Experience in global financial services and regulated environments Hands on pragmatism; able to review designs and code level artifacts while maintaining a strategic lens Experience with platform engineering, green software, and confidential computing Strong communication and relationship building skills across C suite and engineering teams Experience mentoring and developing architecture talent Familiarity with compliance regimes (e.g., EBA, PRA, OCC, MAS) and architecture support for regulatory requirements
Principal Data Engineer Lead the design and delivery of a modern cloud-based data platform, driving engineering standards, architecture, and innovation across a growing data function. The Opportunity This is a senior technical leadership role responsible for shaping data engineering strategy, architecture, and best practices across multiple product domains. Working within a modern cloud environment and Data Mesh architecture, you will drive the development of scalable, secure, and high-performing data solutions while mentoring engineers and influencing technical direction. Key Responsibilities Provide technical leadership across data engineering teams and product domains. Define and implement data platform architecture, standards, and best practices. Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes. Lead the development of Data Mesh principles, data models, and semantic data layers. Drive automation, CI/CD adoption, and continuous improvement initiatives. Mentor and coach data engineers, promoting engineering excellence. Ensure cross-domain interoperability, scalability, and compliance. Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions. About You Extensive experience in cloud-based data engineering and distributed systems. Strong knowledge of Data Mesh, domain-driven design, and data product thinking. Proven ability to lead teams and deliver complex data engineering initiatives. Strong communication and stakeholder management skills. Passionate about engineering quality, innovation, and mentoring others. Essential Skills & Experience 10+ years' experience in Data Engineering. Experience in a Lead or Principal Data Engineering role. Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern data architectures. Strong understanding of data governance, lineage, MDM, data privacy, and PII handling. Experience optimising complex queries and large-scale data processing. Proven mentoring, coaching, and leadership capability. Experience working within Agile/Scrum environments and across the full software development lifecycle. This is an excellent opportunity for a senior data engineering leader to play a key role in the evolution of a modern cloud data platform, influencing architectural decisions and helping shape the future of a data-driven organisation. Sponsorship is not available - applicants must have full right to work in the UK
02/07/2026
Full time
Principal Data Engineer Lead the design and delivery of a modern cloud-based data platform, driving engineering standards, architecture, and innovation across a growing data function. The Opportunity This is a senior technical leadership role responsible for shaping data engineering strategy, architecture, and best practices across multiple product domains. Working within a modern cloud environment and Data Mesh architecture, you will drive the development of scalable, secure, and high-performing data solutions while mentoring engineers and influencing technical direction. Key Responsibilities Provide technical leadership across data engineering teams and product domains. Define and implement data platform architecture, standards, and best practices. Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes. Lead the development of Data Mesh principles, data models, and semantic data layers. Drive automation, CI/CD adoption, and continuous improvement initiatives. Mentor and coach data engineers, promoting engineering excellence. Ensure cross-domain interoperability, scalability, and compliance. Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions. About You Extensive experience in cloud-based data engineering and distributed systems. Strong knowledge of Data Mesh, domain-driven design, and data product thinking. Proven ability to lead teams and deliver complex data engineering initiatives. Strong communication and stakeholder management skills. Passionate about engineering quality, innovation, and mentoring others. Essential Skills & Experience 10+ years' experience in Data Engineering. Experience in a Lead or Principal Data Engineering role. Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern data architectures. Strong understanding of data governance, lineage, MDM, data privacy, and PII handling. Experience optimising complex queries and large-scale data processing. Proven mentoring, coaching, and leadership capability. Experience working within Agile/Scrum environments and across the full software development lifecycle. This is an excellent opportunity for a senior data engineering leader to play a key role in the evolution of a modern cloud data platform, influencing architectural decisions and helping shape the future of a data-driven organisation. Sponsorship is not available - applicants must have full right to work in the UK
Senior Data Engineer Join a growing data engineering function delivering modern cloud-based data products and platforms that enable better decision-making across the business. The Opportunity This role offers the chance to work on a modern cloud data platform, helping to design, build, and deliver scalable data products using leading technologies and engineering practices. Working closely with product managers, architects, and engineers, you will play a key role in solving complex technical challenges and delivering high-quality data solutions. As a Senior Data Engineer, you will take ownership of the full data product lifecycle, from design and development through to deployment, optimisation, and retirement. You will also support the growth of the wider team through mentoring, peer reviews, and promoting engineering best practices. Key Responsibilities Design, develop, and maintain cloud-based data platforms and products. Lead the delivery of data solutions across the full product lifecycle. Build and optimise ETL/ELT pipelines and data processing frameworks. Collaborate with architects, product managers, and engineering teams to solve technical challenges. Produce clear technical documentation and communicate solutions to both technical and non-technical stakeholders. Ensure code quality through testing, peer reviews, and adherence to engineering standards. Support CI/CD processes, change management, and environment controls. Mentor junior engineers and contribute to the development of team capability. Drive continuous improvement and adoption of modern data engineering practices. About You You are an experienced data engineer with strong technical expertise and a passion for delivering high-quality, scalable data solutions. You enjoy solving complex problems, working collaboratively with stakeholders, and continuously improving the way data products are designed and delivered. You are comfortable working in cloud environments and have hands-on experience with modern data engineering tools and technologies. You combine technical excellence with strong communication skills and a commitment to mentoring and supporting colleagues. Essential Skills & Experience 5+ years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/CD, change management, and environment controls across development, test, and production environments. Experience producing clear technical documentation and supporting governance processes. Knowledge of Data Mesh principles, Test-Driven Development, and Agile delivery methodologies. Strong problem-solving, communication, and stakeholder management skills. Experience mentoring junior engineers and contributing to engineering best practices. This is an excellent opportunity for an experienced Data Engineer to work with modern cloud technologies, influence the design of enterprise-scale data solutions, and play a key role in the continued evolution of a forward-thinking data engineering function.
02/07/2026
Full time
Senior Data Engineer Join a growing data engineering function delivering modern cloud-based data products and platforms that enable better decision-making across the business. The Opportunity This role offers the chance to work on a modern cloud data platform, helping to design, build, and deliver scalable data products using leading technologies and engineering practices. Working closely with product managers, architects, and engineers, you will play a key role in solving complex technical challenges and delivering high-quality data solutions. As a Senior Data Engineer, you will take ownership of the full data product lifecycle, from design and development through to deployment, optimisation, and retirement. You will also support the growth of the wider team through mentoring, peer reviews, and promoting engineering best practices. Key Responsibilities Design, develop, and maintain cloud-based data platforms and products. Lead the delivery of data solutions across the full product lifecycle. Build and optimise ETL/ELT pipelines and data processing frameworks. Collaborate with architects, product managers, and engineering teams to solve technical challenges. Produce clear technical documentation and communicate solutions to both technical and non-technical stakeholders. Ensure code quality through testing, peer reviews, and adherence to engineering standards. Support CI/CD processes, change management, and environment controls. Mentor junior engineers and contribute to the development of team capability. Drive continuous improvement and adoption of modern data engineering practices. About You You are an experienced data engineer with strong technical expertise and a passion for delivering high-quality, scalable data solutions. You enjoy solving complex problems, working collaboratively with stakeholders, and continuously improving the way data products are designed and delivered. You are comfortable working in cloud environments and have hands-on experience with modern data engineering tools and technologies. You combine technical excellence with strong communication skills and a commitment to mentoring and supporting colleagues. Essential Skills & Experience 5+ years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/CD, change management, and environment controls across development, test, and production environments. Experience producing clear technical documentation and supporting governance processes. Knowledge of Data Mesh principles, Test-Driven Development, and Agile delivery methodologies. Strong problem-solving, communication, and stakeholder management skills. Experience mentoring junior engineers and contributing to engineering best practices. This is an excellent opportunity for an experienced Data Engineer to work with modern cloud technologies, influence the design of enterprise-scale data solutions, and play a key role in the continued evolution of a forward-thinking data engineering function.
About Us Solirius Reply delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields, to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role We are looking for experienced Solution Architects to work on our projects with our public sector clients, helping to deliver Solirius' services to the highest standard. The role will involve working with multiple business stakeholders, helping them to design business solutions which will then be implemented by the delivery teams. The role will involve working with multiple business stakeholders, helping them to design business solutions which will then be implemented by the delivery teams. As a Solution Architect, you will be expected to operate with a high degree of autonomy, using your experience and judgement to resolve complex technical and architectural challenges in alignment with client needs. You will proactively manage escalations and take ownership of delivering effective, scalable, and secure solutions. Successful candidates will also be expected to take an active role in practice development: developing new services to help with Solirius' business development - creating and updating new architecture artefacts, liaising with the other Solirius practices to maintain practice profile and contributing to the development of more junior practice members. In addition to technical leadership, you will play a key role in identifying and shaping new business opportunities, working closely with stakeholders across client organisations to understand strategic objectives and deliver value-driven outcomes. You must be a strong and confident communicator, capable of influencing both technical and non-technical audiences. You will lead and mentor technical teams, build consensus across diverse stakeholder groups, and foster collaborative, cross-functional working environments. Your role will require innovative thinking, applying best practices and emerging technologies to solve complex business problems in creative and pragmatic ways. Key Responsibilities Design end-to-end solution architectures that meet business, technical, and security requirements. Translate business and technical requirements into scalable, secure, and cost-effective designs. Ensure alignment with enterprise architecture, technology strategy, and governance standards. Lead architecture reviews and technical design workshops with stakeholders and delivery teams. Support Agile delivery teams, defining MVP architecture and providing ongoing technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive decisions. Define integration patterns, APIs, and data flows between systems and services. Contribute to DevOps, automation, and infrastructure-as-code practices for delivery at scale. Ensure security, compliance, and risk management are embedded in the solution. Produce clear architectural documentation using standards like C4, Archimate, or cloud-native diagrams. Creating high-level Level Designs and relevant architecture artifacts. Key Experience Extensive experience in stakeholder engagement and senior-level communication, including C-suite. Proven experience in client-facing and/or consultancy environments. Demonstrated ability to translate complex business and functional requirements into scalable and resilient technology architectures. Strong track record in designing and delivering end-to-end data and application architectures in enterprise settings. Expertise in conceptual, logical, and physical architecture modelling. Deep understanding of large-scale, distributed systems and integration patterns. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical, and physical). Familiarity with modern integration technologies and patterns (e.g., event-driven, service mesh, API gateways). What We Offer Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
01/07/2026
Full time
About Us Solirius Reply delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields, to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role We are looking for experienced Solution Architects to work on our projects with our public sector clients, helping to deliver Solirius' services to the highest standard. The role will involve working with multiple business stakeholders, helping them to design business solutions which will then be implemented by the delivery teams. The role will involve working with multiple business stakeholders, helping them to design business solutions which will then be implemented by the delivery teams. As a Solution Architect, you will be expected to operate with a high degree of autonomy, using your experience and judgement to resolve complex technical and architectural challenges in alignment with client needs. You will proactively manage escalations and take ownership of delivering effective, scalable, and secure solutions. Successful candidates will also be expected to take an active role in practice development: developing new services to help with Solirius' business development - creating and updating new architecture artefacts, liaising with the other Solirius practices to maintain practice profile and contributing to the development of more junior practice members. In addition to technical leadership, you will play a key role in identifying and shaping new business opportunities, working closely with stakeholders across client organisations to understand strategic objectives and deliver value-driven outcomes. You must be a strong and confident communicator, capable of influencing both technical and non-technical audiences. You will lead and mentor technical teams, build consensus across diverse stakeholder groups, and foster collaborative, cross-functional working environments. Your role will require innovative thinking, applying best practices and emerging technologies to solve complex business problems in creative and pragmatic ways. Key Responsibilities Design end-to-end solution architectures that meet business, technical, and security requirements. Translate business and technical requirements into scalable, secure, and cost-effective designs. Ensure alignment with enterprise architecture, technology strategy, and governance standards. Lead architecture reviews and technical design workshops with stakeholders and delivery teams. Support Agile delivery teams, defining MVP architecture and providing ongoing technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive decisions. Define integration patterns, APIs, and data flows between systems and services. Contribute to DevOps, automation, and infrastructure-as-code practices for delivery at scale. Ensure security, compliance, and risk management are embedded in the solution. Produce clear architectural documentation using standards like C4, Archimate, or cloud-native diagrams. Creating high-level Level Designs and relevant architecture artifacts. Key Experience Extensive experience in stakeholder engagement and senior-level communication, including C-suite. Proven experience in client-facing and/or consultancy environments. Demonstrated ability to translate complex business and functional requirements into scalable and resilient technology architectures. Strong track record in designing and delivering end-to-end data and application architectures in enterprise settings. Expertise in conceptual, logical, and physical architecture modelling. Deep understanding of large-scale, distributed systems and integration patterns. Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. Broad experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical, and physical). Familiarity with modern integration technologies and patterns (e.g., event-driven, service mesh, API gateways). What We Offer Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
Role Overview Hackajob is collaborating with Barclays to connect exceptional professionals for this role. Join us at Barclays as an AI Enterprise Architect, where you will drive the definition, direction, and governance of the bank's target data architecture-including shared data environments, data models, and standards-in support of business strategy. Aligned to the CTO organisation and AI Accelerator, you will support the delivery of enterprise AI capabilities, patterns, and guard rails, ensuring data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford. Key Skills / Qualifications AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real-time data processing. Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation. Purpose of the role To define, direct, and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escape breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. Company Values All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
01/07/2026
Full time
Role Overview Hackajob is collaborating with Barclays to connect exceptional professionals for this role. Join us at Barclays as an AI Enterprise Architect, where you will drive the definition, direction, and governance of the bank's target data architecture-including shared data environments, data models, and standards-in support of business strategy. Aligned to the CTO organisation and AI Accelerator, you will support the delivery of enterprise AI capabilities, patterns, and guard rails, ensuring data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford. Key Skills / Qualifications AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy. Stakeholder Leadership: Clear communication of AI concepts, senior stakeholder engagement, and leadership of cross functional AI initiatives. Industry Knowledge: Sector regulations and AI use cases, particularly in regulated industries such as financial services. Data Strategy & Analytics: Data management, data quality, analytics platforms, data mesh/fabric, and real-time data processing. Emerging Technology: Generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation. Purpose of the role To define, direct, and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best in class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escape breaches of policies/procedures. If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. Company Values All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
