Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary Negotiable, DoE, plus company benefits. Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens, and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge tech or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.5 92% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting the British government department responsible for consumer safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Salesforce Developer to contribute to the design, build, and maintenance of robust Salesforce solutions across a variety of impactful transformation projects. You'll work as part of cross-functional teams, bringing technical expertise in Salesforce development to deliver high-quality, scalable, and secure solutions. Key Responsibilities Develop and maintain custom applications on the Salesforce platform using Apex, Lightning Web Components (LWC), and Visualforce. Translate business requirements into technical specifications and implement well-tested, scalable solutions. Collaborate with architects and senior developers to support solution design and integration activities. Contribute to CI/CD pipelines and development best practices across the Salesforce codebase. Build integrations with external systems using REST/SOAP APIs and third-party tools. Create technical documentation and contribute to knowledge sharing across teams. Participate in agile ceremonies, providing regular updates and input on task estimates and challenges. Support testing and deployment activities across various environments. Skills and Experience Proven experience as a Salesforce Developer, ideally within public sector or enterprise-scale environments. Strong hands-on development experience with Apex, LWC, Visualforce, and Salesforce DX. Familiarity with Salesforce products such as Sales Cloud, Service Cloud, and Experience Cloud. Experience with REST/SOAP APIs, integration tools, and middleware platforms (e.g., Mulesoft - desirable). Understanding of Salesforce security and data models. Familiarity with DevOps processes, version control, and CI/CD in a Salesforce environment. Strong problem-solving and communication skills, with the ability to work effectively in collaborative teams. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer II - Desirable Other Salesforce certifications (e.g., App Builder, Integration Architect) - Desirable A degree or equivalent qualification related to your area of expertise - Desirable Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development Access to top-rated Udemy Business courses. Work Environment Collaborative, creative, and free from discrimination. 25 days of annual leave, plus bank holidays Matched pension contributions (5%) Private healthcare with Bupa Gym membership support or Lakeshore Fitness access What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: An interview with our team, including a career review and cultural fit assessment A technical test followed by a technical interview session with our principal consultants We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact Ben Fowler and submit your application now! Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident Leader.
19/07/2026
Full time
Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary Negotiable, DoE, plus company benefits. Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens, and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge tech or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.5 92% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting the British government department responsible for consumer safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Salesforce Developer to contribute to the design, build, and maintenance of robust Salesforce solutions across a variety of impactful transformation projects. You'll work as part of cross-functional teams, bringing technical expertise in Salesforce development to deliver high-quality, scalable, and secure solutions. Key Responsibilities Develop and maintain custom applications on the Salesforce platform using Apex, Lightning Web Components (LWC), and Visualforce. Translate business requirements into technical specifications and implement well-tested, scalable solutions. Collaborate with architects and senior developers to support solution design and integration activities. Contribute to CI/CD pipelines and development best practices across the Salesforce codebase. Build integrations with external systems using REST/SOAP APIs and third-party tools. Create technical documentation and contribute to knowledge sharing across teams. Participate in agile ceremonies, providing regular updates and input on task estimates and challenges. Support testing and deployment activities across various environments. Skills and Experience Proven experience as a Salesforce Developer, ideally within public sector or enterprise-scale environments. Strong hands-on development experience with Apex, LWC, Visualforce, and Salesforce DX. Familiarity with Salesforce products such as Sales Cloud, Service Cloud, and Experience Cloud. Experience with REST/SOAP APIs, integration tools, and middleware platforms (e.g., Mulesoft - desirable). Understanding of Salesforce security and data models. Familiarity with DevOps processes, version control, and CI/CD in a Salesforce environment. Strong problem-solving and communication skills, with the ability to work effectively in collaborative teams. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer II - Desirable Other Salesforce certifications (e.g., App Builder, Integration Architect) - Desirable A degree or equivalent qualification related to your area of expertise - Desirable Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development Access to top-rated Udemy Business courses. Work Environment Collaborative, creative, and free from discrimination. 25 days of annual leave, plus bank holidays Matched pension contributions (5%) Private healthcare with Bupa Gym membership support or Lakeshore Fitness access What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: An interview with our team, including a career review and cultural fit assessment A technical test followed by a technical interview session with our principal consultants We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact Ben Fowler and submit your application now! Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident Leader.
Principal Business Analyst Department: Product & Delivery Employment Type: Permanent - Full Time Location: London or Manchester UK About us Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. Description We are looking for a Principal Business Analyst to join our growing Product and Delivery practice. As a Principal Business Analyst, you will set the standard for our BA community, providing leadership, guidance, and support to more junior colleagues. You'll work across a wide range of projects in both the public and private sectors, helping organisations deliver better outcomes for their customers, clients, and stakeholders. You'll have proven experience leading teams (including other Business Analysts) and driving improvements in delivery. You'll be confident "speaking digital" with both specialists and non specialists, enjoy tackling complex analytical challenges, and be comfortable contributing to business development activities such as tenders and pitches. Key Responsibilities Lead the investigation of problems and design of business solutions using a range of research and analysis techniques. Identify, manage, and mitigate risks and issues. Gather, consolidate, and interpret complex information, presenting it clearly to both business and technical colleagues. Lead the design of solutions using process, workflow, or digital techniques (including BDD). Refine and develop ideas into viable solutions, enabling colleagues across roles (e.g. product managers, researchers, service designers, developers, and delivery managers) to contribute effectively. Provide thought leadership within Transform's BA community, fostering an open culture of knowledge sharing and best practice. Bring your own ideas, perspectives, and recommendations, drawing on both professional and personal experience. Lead clients in applying best practice, demonstrate account leadership, and ensure quality throughout delivery engagements. Practice Leadership Role model the behaviours and attitudes expected across the practice. Provide line management for junior BAs, supporting their growth and development. Play a key role in BA recruitment, helping attract and assess top talent. Maintain a growth mindset, championing new practices and innovations to keep Transform ahead of the curve. Contribute to wider business growth through capability and community development, knowledge sharing, well being initiatives, proposal development, and brand visibility. Skills, Knowledge and Expertise Proven track record leading teams to improve how organisations deliver for their stakeholders. Experience mentoring and developing BAs, ideally within a community of practice. Experience in team growth activities, including recruitment. Ability to oversee and improve BA deliverables and outputs. Deep understanding of Agile methods and experience working in collaborative, multidisciplinary teams. Skilled in coaching customers on high quality business analysis processes and techniques. Strong ability to capture and clearly articulate organisational needs. Experience using creative, engaging methods to bring requirements and solutions to life for stakeholders. Comfortable working with diverse disciplines and perspectives, aligning them into a shared vision. Strong problem investigation skills with the ability to guide teams toward effective solutions. Proficient at producing evidence, documentation, and reporting to track progress and communicate findings to stakeholders. Holder of a BCS Diploma in Business Analysis (or similar qualification). Demonstratable growth mindset with evidence of continuous learning and improvement. Experience of contributing to wider business growth initiatives and success, both as part of a team and individually. A growth mindset AI curious and ready to embrace opportunities Desirable Skills/Experiences Scrum Mastery or Delivery Management Product Management Data Modelling Testing / QA Management User Research or Service Design Consultancy About us and our benefits Our culture is built on: We raise the bar We look out for each other We embrace our differences We shape a changing world We're all in Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays) Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform, you can expect meaningful work, with real impact and the space to grow as people as well as a professional. You'll work alongside curious, authentic experts who care deeply about doing the right thing, for our clients and for each other with no egos, no blame, and no standing on the sidelines. We're all in on creating an environment where people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts. We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities and those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.
19/07/2026
Full time
Principal Business Analyst Department: Product & Delivery Employment Type: Permanent - Full Time Location: London or Manchester UK About us Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. Description We are looking for a Principal Business Analyst to join our growing Product and Delivery practice. As a Principal Business Analyst, you will set the standard for our BA community, providing leadership, guidance, and support to more junior colleagues. You'll work across a wide range of projects in both the public and private sectors, helping organisations deliver better outcomes for their customers, clients, and stakeholders. You'll have proven experience leading teams (including other Business Analysts) and driving improvements in delivery. You'll be confident "speaking digital" with both specialists and non specialists, enjoy tackling complex analytical challenges, and be comfortable contributing to business development activities such as tenders and pitches. Key Responsibilities Lead the investigation of problems and design of business solutions using a range of research and analysis techniques. Identify, manage, and mitigate risks and issues. Gather, consolidate, and interpret complex information, presenting it clearly to both business and technical colleagues. Lead the design of solutions using process, workflow, or digital techniques (including BDD). Refine and develop ideas into viable solutions, enabling colleagues across roles (e.g. product managers, researchers, service designers, developers, and delivery managers) to contribute effectively. Provide thought leadership within Transform's BA community, fostering an open culture of knowledge sharing and best practice. Bring your own ideas, perspectives, and recommendations, drawing on both professional and personal experience. Lead clients in applying best practice, demonstrate account leadership, and ensure quality throughout delivery engagements. Practice Leadership Role model the behaviours and attitudes expected across the practice. Provide line management for junior BAs, supporting their growth and development. Play a key role in BA recruitment, helping attract and assess top talent. Maintain a growth mindset, championing new practices and innovations to keep Transform ahead of the curve. Contribute to wider business growth through capability and community development, knowledge sharing, well being initiatives, proposal development, and brand visibility. Skills, Knowledge and Expertise Proven track record leading teams to improve how organisations deliver for their stakeholders. Experience mentoring and developing BAs, ideally within a community of practice. Experience in team growth activities, including recruitment. Ability to oversee and improve BA deliverables and outputs. Deep understanding of Agile methods and experience working in collaborative, multidisciplinary teams. Skilled in coaching customers on high quality business analysis processes and techniques. Strong ability to capture and clearly articulate organisational needs. Experience using creative, engaging methods to bring requirements and solutions to life for stakeholders. Comfortable working with diverse disciplines and perspectives, aligning them into a shared vision. Strong problem investigation skills with the ability to guide teams toward effective solutions. Proficient at producing evidence, documentation, and reporting to track progress and communicate findings to stakeholders. Holder of a BCS Diploma in Business Analysis (or similar qualification). Demonstratable growth mindset with evidence of continuous learning and improvement. Experience of contributing to wider business growth initiatives and success, both as part of a team and individually. A growth mindset AI curious and ready to embrace opportunities Desirable Skills/Experiences Scrum Mastery or Delivery Management Product Management Data Modelling Testing / QA Management User Research or Service Design Consultancy About us and our benefits Our culture is built on: We raise the bar We look out for each other We embrace our differences We shape a changing world We're all in Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays) Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package At Transform, you can expect meaningful work, with real impact and the space to grow as people as well as a professional. You'll work alongside curious, authentic experts who care deeply about doing the right thing, for our clients and for each other with no egos, no blame, and no standing on the sidelines. We're all in on creating an environment where people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts. We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities and those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.
As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands on engineering role - you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will take detailed architecture and design specifications and translate them into working, production quality software components. This means writing clean, well structured code, making low level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems - including individual agent logic, tool integrations, skills, and memory components - and contribute to the development and integration of foundation and classical ML models into end to end pipelines. A hands on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks - such as those spanning agent orchestration, vector storage, model serving, and ML pipelines - selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work - including low level design documents, component specifications, and integration contracts - ensuring your work is well documented, testable, and handoff ready. You will operate as a practitioner within cross functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem solving and design discussions within your domain. This role is an opportunity to build deep, hands on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting edge AI systems, and grow toward a lead engineer or architect role over time. THE WORK Design, build, and configure individual agents - including their prompts, tools, and skills - and integrate them into multi agent workflows Implement agent orchestration logic that handles task handoffs, communication, and error recovery Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case Build and run model fine tuning pipelines - including data preparation and training - to adapt models to specific business domains, applying working knowledge of transformer based architectures Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval Implement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end to end RAG pipelines Build the logic that assembles prompts and manages what information is passed to the model within its context window Implement memory components that store and recall conversational history and other relevant context Implement input/output guardrails, content filtering, and defenses against prompt injection Build PII detection and redaction components and integrate access controls for model and tool access Implement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable Instrument components with logging and tracing for requests, responses, token usage, and tool calls Contribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production Continuously learn and apply new design patterns, technologies, and frameworks across the fast evolving AI landscape, bringing fresh approaches to the components you build Collaborate within cross functional teams to clarify requirements and ensure your components meet stakeholder needs Create and maintain clear technical documentation for the components you build, supporting troubleshooting and future development EDUCATION Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline BASIC (REQUIRED) QUALIFICATION Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative, and classical AI/ML using at least one cloud vendor. Experience (work or coursework in the Agentic, LLM and Generative AI space. Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns. Experience in coding and engineering, machine learning, deep learning and NLP solutions and applications. Coding experience using Python
19/07/2026
Full time
As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands on engineering role - you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will take detailed architecture and design specifications and translate them into working, production quality software components. This means writing clean, well structured code, making low level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems - including individual agent logic, tool integrations, skills, and memory components - and contribute to the development and integration of foundation and classical ML models into end to end pipelines. A hands on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks - such as those spanning agent orchestration, vector storage, model serving, and ML pipelines - selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work - including low level design documents, component specifications, and integration contracts - ensuring your work is well documented, testable, and handoff ready. You will operate as a practitioner within cross functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem solving and design discussions within your domain. This role is an opportunity to build deep, hands on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting edge AI systems, and grow toward a lead engineer or architect role over time. THE WORK Design, build, and configure individual agents - including their prompts, tools, and skills - and integrate them into multi agent workflows Implement agent orchestration logic that handles task handoffs, communication, and error recovery Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case Build and run model fine tuning pipelines - including data preparation and training - to adapt models to specific business domains, applying working knowledge of transformer based architectures Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval Implement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end to end RAG pipelines Build the logic that assembles prompts and manages what information is passed to the model within its context window Implement memory components that store and recall conversational history and other relevant context Implement input/output guardrails, content filtering, and defenses against prompt injection Build PII detection and redaction components and integrate access controls for model and tool access Implement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable Instrument components with logging and tracing for requests, responses, token usage, and tool calls Contribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production Continuously learn and apply new design patterns, technologies, and frameworks across the fast evolving AI landscape, bringing fresh approaches to the components you build Collaborate within cross functional teams to clarify requirements and ensure your components meet stakeholder needs Create and maintain clear technical documentation for the components you build, supporting troubleshooting and future development EDUCATION Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline BASIC (REQUIRED) QUALIFICATION Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative, and classical AI/ML using at least one cloud vendor. Experience (work or coursework in the Agentic, LLM and Generative AI space. Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns. Experience in coding and engineering, machine learning, deep learning and NLP solutions and applications. Coding experience using Python
Job Description We are looking for an Azure Infrastructure and Platform Engineer to provide L2/L3 support for business critical Azure hosted solutions. The role focuses on operating and supporting Azure infrastructure, networking, platform services, integrations, monitoring, and security controls. The successful candidate will be comfortable troubleshooting cloud native applications and working closely with development teams while remaining primarily focused on platform operations, reliability, and service management. Experience working within enterprise Azure Landing Zone environments, including governance, connectivity, and security controls, would be advantageous. Security Clearance: The role requires the successful candidate to hold, or be eligible to obtain, UK Government SC (Security Check) clearance. Benefits Hitachi Solutions offers competitive compensation packages (including bonuses), pension and benefits plans. Work/life balance is an essential part of our culture, and all employees are home workers, although you will be expected to come into our or customers' offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Key Responsibilities Platform & Infrastructure Support: Own incidents through to resolution across the Azure platforms and infrastructure underpinning cloud native applications, meeting agreed service levels and operational targets. PaaS & Integration: Operate, monitor, and troubleshoot Azure platform services including App Services, Functions, Logic Apps, storage, databases, Service Bus, Event Grid, and API Management (APIM). Monitoring & Observability: Maintain platform and application health using Azure Monitor, Application Insights, Log Analytics, and automated alerting, acting proactively to prevent service disruption. Incident & Problem Management: Diagnose issues across infrastructure, platform, application, and integration layers. Perform root cause analysis and implement corrective actions to prevent recurrence. DevOps & Release Management: Support CI/CD pipelines, infrastructure-as-code deployments, environment promotion, and controlled releases across development, test, and production environments. Security & Governance: Support Azure security, identity, governance, and compliance controls including RBAC, PIM, Conditional Access, Azure Policy, Key Vault, and Microsoft Defender for Cloud. Developer Collaboration: Troubleshoot application issues, analyse logs and telemetry, debug straightforward defects, and work closely with development teams to resolve platform and application concerns. Operational Improvement: Identify opportunities to improve reliability, performance, monitoring, automation, documentation, and operational processes. On-Call Availability: Participate in a paid on-call and out-of-hours support rota to maintain service availability outside core business hours. Qualifications Azure Infrastructure & Platform Demonstrable experience running and supporting cloud native Azure environments. Deep working knowledge of Azure Networking & Connectivity; Design, operate and troubleshoot hub spoke networking, Azure Firewall, Application Gateway/WAF, Private Endpoints, DNS, VPN/ExpressRoute, routing, network security controls and hybrid connectivity across platform and workload landing zones Experience in Identity & Access Management (IAM); Manage RBAC, PIM, Conditional Access, Managed Identities and Service Principals, ensuring secure access, least privilege governance and compliance Experience supporting Azure governance and security capabilities including Azure Policy, Management Groups, Key Vault, Microsoft Defender for Cloud, and subscription governance. Strong working knowledge of Azure PaaS services including App Services, Functions, Logic Apps, Storage Accounts, and Azure databases, including configuration, scaling, resilience, and performance optimisation. Experience with Azure Monitor, Application Insights, Log Analytics, alerting, dashboards, and KQL-based troubleshooting. Strong understanding of SQL Server and Azure SQL, with exposure to Cosmos DB, Entra ID, Single Sign-On (SSO), and core Azure IaaS, PaaS, and SaaS services. Experience operating within enterprise Azure Landing Zone environments, including governance, connectivity, and security controls. Exposure to Azure Kubernetes Service (AKS), Azure Container Apps, or containerised workloads would be advantageous. Support, Operations & DevOps Experience providing application and platform support, including incident, problem, and service request management to agreed service levels. ITIL awareness is desirable. Experience supporting Git based source control, Azure DevOps pipelines (CI/CD), infrastructure as code deployments, and controlled releases across development, test, and production environments. Experience with Infrastructure as Code using Bicep, ARM Templates, Terraform, or equivalent automation technologies. Development Fluency Sufficient C# /.NET knowledge to debug, trace, and troubleshoot application issues, with awareness of REST APIs and modern front end frameworks such as React, Angular, or Blazor is desirable. Comfortable working with development teams as a technical peer, contributing to issue resolution across both platform and application layers. Experience using modern developer productivity tools, including GitHub Copilot, is desirable. Other Requirements Strong communication, stakeholder management, and problem solving skills, with experience working in Agile delivery and/or managed service environments. Azure certifications desirable, particularly AZ 104 (Azure Administrator), AZ 400 (DevOps Engineer), AZ 700 (Azure Network Engineer) Active SC clearance, or willingness and eligibility to undergo SC vetting. Willingness to participate in a paid on call and out of hours support rota. Ability to work directly with clients, technical leads, architects, and delivery teams within regulated and public sector environments.
19/07/2026
Full time
Job Description We are looking for an Azure Infrastructure and Platform Engineer to provide L2/L3 support for business critical Azure hosted solutions. The role focuses on operating and supporting Azure infrastructure, networking, platform services, integrations, monitoring, and security controls. The successful candidate will be comfortable troubleshooting cloud native applications and working closely with development teams while remaining primarily focused on platform operations, reliability, and service management. Experience working within enterprise Azure Landing Zone environments, including governance, connectivity, and security controls, would be advantageous. Security Clearance: The role requires the successful candidate to hold, or be eligible to obtain, UK Government SC (Security Check) clearance. Benefits Hitachi Solutions offers competitive compensation packages (including bonuses), pension and benefits plans. Work/life balance is an essential part of our culture, and all employees are home workers, although you will be expected to come into our or customers' offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Key Responsibilities Platform & Infrastructure Support: Own incidents through to resolution across the Azure platforms and infrastructure underpinning cloud native applications, meeting agreed service levels and operational targets. PaaS & Integration: Operate, monitor, and troubleshoot Azure platform services including App Services, Functions, Logic Apps, storage, databases, Service Bus, Event Grid, and API Management (APIM). Monitoring & Observability: Maintain platform and application health using Azure Monitor, Application Insights, Log Analytics, and automated alerting, acting proactively to prevent service disruption. Incident & Problem Management: Diagnose issues across infrastructure, platform, application, and integration layers. Perform root cause analysis and implement corrective actions to prevent recurrence. DevOps & Release Management: Support CI/CD pipelines, infrastructure-as-code deployments, environment promotion, and controlled releases across development, test, and production environments. Security & Governance: Support Azure security, identity, governance, and compliance controls including RBAC, PIM, Conditional Access, Azure Policy, Key Vault, and Microsoft Defender for Cloud. Developer Collaboration: Troubleshoot application issues, analyse logs and telemetry, debug straightforward defects, and work closely with development teams to resolve platform and application concerns. Operational Improvement: Identify opportunities to improve reliability, performance, monitoring, automation, documentation, and operational processes. On-Call Availability: Participate in a paid on-call and out-of-hours support rota to maintain service availability outside core business hours. Qualifications Azure Infrastructure & Platform Demonstrable experience running and supporting cloud native Azure environments. Deep working knowledge of Azure Networking & Connectivity; Design, operate and troubleshoot hub spoke networking, Azure Firewall, Application Gateway/WAF, Private Endpoints, DNS, VPN/ExpressRoute, routing, network security controls and hybrid connectivity across platform and workload landing zones Experience in Identity & Access Management (IAM); Manage RBAC, PIM, Conditional Access, Managed Identities and Service Principals, ensuring secure access, least privilege governance and compliance Experience supporting Azure governance and security capabilities including Azure Policy, Management Groups, Key Vault, Microsoft Defender for Cloud, and subscription governance. Strong working knowledge of Azure PaaS services including App Services, Functions, Logic Apps, Storage Accounts, and Azure databases, including configuration, scaling, resilience, and performance optimisation. Experience with Azure Monitor, Application Insights, Log Analytics, alerting, dashboards, and KQL-based troubleshooting. Strong understanding of SQL Server and Azure SQL, with exposure to Cosmos DB, Entra ID, Single Sign-On (SSO), and core Azure IaaS, PaaS, and SaaS services. Experience operating within enterprise Azure Landing Zone environments, including governance, connectivity, and security controls. Exposure to Azure Kubernetes Service (AKS), Azure Container Apps, or containerised workloads would be advantageous. Support, Operations & DevOps Experience providing application and platform support, including incident, problem, and service request management to agreed service levels. ITIL awareness is desirable. Experience supporting Git based source control, Azure DevOps pipelines (CI/CD), infrastructure as code deployments, and controlled releases across development, test, and production environments. Experience with Infrastructure as Code using Bicep, ARM Templates, Terraform, or equivalent automation technologies. Development Fluency Sufficient C# /.NET knowledge to debug, trace, and troubleshoot application issues, with awareness of REST APIs and modern front end frameworks such as React, Angular, or Blazor is desirable. Comfortable working with development teams as a technical peer, contributing to issue resolution across both platform and application layers. Experience using modern developer productivity tools, including GitHub Copilot, is desirable. Other Requirements Strong communication, stakeholder management, and problem solving skills, with experience working in Agile delivery and/or managed service environments. Azure certifications desirable, particularly AZ 104 (Azure Administrator), AZ 400 (DevOps Engineer), AZ 700 (Azure Network Engineer) Active SC clearance, or willingness and eligibility to undergo SC vetting. Willingness to participate in a paid on call and out of hours support rota. Ability to work directly with clients, technical leads, architects, and delivery teams within regulated and public sector environments.
Overview Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). Enable seamless cross-agent communication and multi-modal coordination. Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. Drive optimisation of AI workflows for latency, token cost, and output quality. Develop and own reusable AI microservices, agent frameworks, and standardised APIs. Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. Define and enforce engineering standards and best practices for AI development across the team. Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. Drive incident response and post-mortems for production AI system failures. Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. Mentor and support more junior AI engineers through code review, design discussions, and pair programming. Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices
19/07/2026
Full time
Overview Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). Enable seamless cross-agent communication and multi-modal coordination. Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. Drive optimisation of AI workflows for latency, token cost, and output quality. Develop and own reusable AI microservices, agent frameworks, and standardised APIs. Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. Define and enforce engineering standards and best practices for AI development across the team. Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. Drive incident response and post-mortems for production AI system failures. Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. Mentor and support more junior AI engineers through code review, design discussions, and pair programming. Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts - including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical engineering solutions.
19/07/2026
Full time
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ARE As a hands on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands on role - you will spend the majority of your time in the architecture and engineering of real world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise grade reliability. You will design and build AI agent architectures - including multi agent orchestration, tool use, skills use, and memory systems - and work hands on with foundation models through fine tuning, retrieval augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice - connecting enterprise knowledge bases, structured and unstructured data sources, and domain specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components - building, integrating, and testing AI system modules as a practitioner - alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real world problems, and build a foundation for growing into a lead or principal architect over time. THE WORK Independently design, build, and deliver software components across the AI architecture - owning them end to end from design through implementation, integration, and testing as a hands on practitioner Design and build AI agent architectures - including individual agents, their prompts, tools, and skills, multi agent orchestration, and memory systems - making deliberate design pattern and technology choices Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands on prototyping Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations - selecting the right models, invocation patterns, and customization approaches (fine tuning, RAG, custom integration) based on capability, cost, and performance trade offs Design and build model adaptation and fine tuning pipelines, applying working knowledge of transformer based architectures to inform model selection and optimization Design and build the AI context layer - including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end to end RAG pipelines, applying integration patterns that connect to enterprise data sources Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements Design for cost efficiency and performance - optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives Design, build, and validate systems against enterprise non functional requirements - implementing guardrails, prompt injection defenses, PII handling, and access controls for security and Responsible AI Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable Build observability into systems - logging, tracing, monitoring, alerting, and cost tracking - to ensure AI solutions remain healthy, performant, and scalable in production Produce detailed architecture artifacts - including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams - that guide and enable broader engineering teams Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast evolving AI landscape, balancing innovation with enterprise grade reliability Collaborate with cross functional delivery teams - data engineers, ML engineers, and application developers - to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning large scale analytical engineering solutions.
• Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. • Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. • Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. • Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). • Enable seamless cross-agent communication and multi-modal coordination. • Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. • Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. • Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. • Drive optimisation of AI workflows for latency, token cost, and output quality. • Develop and own reusable AI microservices, agent frameworks, and standardised APIs. • Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. • Define and enforce engineering standards and best practices for AI development across the team. • Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. • Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. • Drive incident response and post-mortems for production AI system failures. • Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. • Mentor and support more junior AI engineers through code review, design discussions, and pair programming. • Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. • Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively - a feature exclusive to JobTailor job listings. Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices
19/07/2026
Full time
• Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. • Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. • Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. • Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). • Enable seamless cross-agent communication and multi-modal coordination. • Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. • Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. • Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. • Drive optimisation of AI workflows for latency, token cost, and output quality. • Develop and own reusable AI microservices, agent frameworks, and standardised APIs. • Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. • Define and enforce engineering standards and best practices for AI development across the team. • Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. • Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. • Drive incident response and post-mortems for production AI system failures. • Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. • Mentor and support more junior AI engineers through code review, design discussions, and pair programming. • Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. • Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively - a feature exclusive to JobTailor job listings. Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices
Job Description Summary The energy transition drives an unprecedented growth in demand for and generation of electricity. To accommodate this growth, the capacity of transmission system is projected to grow three-fold. High voltage direct current (HVDC) transmission systems will play a key role in connecting remote and offshore renewables, interconnecting energy markets and reinforcing AC grids. Converter stations are required to convert AC to DC and vice versa. The brain of such converter stations are the control and protection systems which, among other things, ensure efficient, safe, and reliable operation of the power electronic valves and peripheral equipment. GE Vernova's Grid Systems Integration business line offers control and protection solutions for both voltage sourced converter (VSC) as well as line commutated converter (LCC) HVDC valve technologies to meet the transmission planning needs of utilities, system operators, developers and industrial clients worldwide. The control & protection algorithms are key to enabling the HVDC transmission systems' functionality, capabilities and performance. GE Vernova's HVDC team require Principal Engineers who act as technical consultants, ensuring customer confidence, reviewing and enhancing design practices, acting as a gate keeper for technical reviews, applying lessons learned, leading complex, state-of-the-art technology improvements, engaging with quality reviews and cost optimization exercises both within their specialist domain and across other domains. Job Description Key Responsibilities Serve as a recognized technical authority in HVDC Control & Protection algorithms solutions both internally and externally, and act as technical advisor to Senior leadership levels and support to Consulting Engineers. Actively contribute to and drive both internal and external standardisation, coordinate working group activities and proactively represent GE Vernova in IEC/CIGRE and similar professional bodies, task forces and industry committees Stay abreast of, collect and internally communicate state-of-the-art technology developments in HVDC control & protection algorithms and applications Support Internal Stakeholders and Consulting Engineer to develop and maintain a strategic HVDC Control & Protection Algorithms technology roadmap. Suggest areas for technological advancement and recommend approaches/programs to pursue Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Oversee various R&D programmes from conception through to industrialisation, integrating new technology smoothly into production and ensuring successful project delivery Chair and act as technical authority in technology and product development gate reviews Collaborate and promote technology synergies across GE Vernova businesses of Power Conversion Systems, Grid Automation and Power Technology, utilizing shared expertise and resources. Lead/support project teams addressing identified project challenges in focused technical areas Support project technical tendering and delivery in the introduction of new solutions Support the quality teams on major quality issues and act as technical authority in root cause analysis processes Act as technical authority in competence management Act as a knowledge ambassador, providing technical education to external universities Consult with and support the Chief Engineer's Office in executing the office's technical objectives to implement best practice technologies and methods. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Actively mentor and coach identified high potential Engineering talents within one's business lines. Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Qualifications/Requirements The position requires a deep technical understanding of the technologies and design techniques required to develop, manufacture and maintain, high availability, real time, flexible control systems. The successful candidate will deeply understand the intricacies of communication and computing platform technologies and techniques, and how to translate this into an effective value proposition to GE Vernova's customers. This requires a strong foundation in both research and development and project engineering, having demonstrated significant technical depth and recognition as a domain expert across large scale, high reliability, high performance real time control systems, and able to apply state-of-the-art technology to resolve complex technical challenges. Degree or higher education equivalent in a topic related to the development of control solutions, ideally with an application focus to power electronic systems Proven experience in an engineering capacity Excellent overall technical understanding of VSC and LCC-HVDC with deep understanding of the topics identified below: Control algorithm principles and high-level control system functional definition Control algorithm implementation Control software architecture Harmonic stability Interaction studies Multi-terminal system control Grid forming control Multi-vendor control interoperability Control system performance verification & validation Overview of standardization initiatives for HVDC control algorithms in international bodies such as IEEE, IEC and CIGRE Understanding of typical relevant regulatory frameworks, grid codes and standards Familiarity with patent evaluation, application and management Open to business travel Desired Characteristics Strong oral and written communication skills Strong interpersonal and leadership skills Leadership to pursue correct engineering process in adverse conditions Able to interface and communicate effectively with all levels of the organization Considered an industry expert and thought leader in the HVDC control & protection algorithms discipline Additional Information Relocation Assistance Provided: No
19/07/2026
Full time
Job Description Summary The energy transition drives an unprecedented growth in demand for and generation of electricity. To accommodate this growth, the capacity of transmission system is projected to grow three-fold. High voltage direct current (HVDC) transmission systems will play a key role in connecting remote and offshore renewables, interconnecting energy markets and reinforcing AC grids. Converter stations are required to convert AC to DC and vice versa. The brain of such converter stations are the control and protection systems which, among other things, ensure efficient, safe, and reliable operation of the power electronic valves and peripheral equipment. GE Vernova's Grid Systems Integration business line offers control and protection solutions for both voltage sourced converter (VSC) as well as line commutated converter (LCC) HVDC valve technologies to meet the transmission planning needs of utilities, system operators, developers and industrial clients worldwide. The control & protection algorithms are key to enabling the HVDC transmission systems' functionality, capabilities and performance. GE Vernova's HVDC team require Principal Engineers who act as technical consultants, ensuring customer confidence, reviewing and enhancing design practices, acting as a gate keeper for technical reviews, applying lessons learned, leading complex, state-of-the-art technology improvements, engaging with quality reviews and cost optimization exercises both within their specialist domain and across other domains. Job Description Key Responsibilities Serve as a recognized technical authority in HVDC Control & Protection algorithms solutions both internally and externally, and act as technical advisor to Senior leadership levels and support to Consulting Engineers. Actively contribute to and drive both internal and external standardisation, coordinate working group activities and proactively represent GE Vernova in IEC/CIGRE and similar professional bodies, task forces and industry committees Stay abreast of, collect and internally communicate state-of-the-art technology developments in HVDC control & protection algorithms and applications Support Internal Stakeholders and Consulting Engineer to develop and maintain a strategic HVDC Control & Protection Algorithms technology roadmap. Suggest areas for technological advancement and recommend approaches/programs to pursue Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Oversee various R&D programmes from conception through to industrialisation, integrating new technology smoothly into production and ensuring successful project delivery Chair and act as technical authority in technology and product development gate reviews Collaborate and promote technology synergies across GE Vernova businesses of Power Conversion Systems, Grid Automation and Power Technology, utilizing shared expertise and resources. Lead/support project teams addressing identified project challenges in focused technical areas Support project technical tendering and delivery in the introduction of new solutions Support the quality teams on major quality issues and act as technical authority in root cause analysis processes Act as technical authority in competence management Act as a knowledge ambassador, providing technical education to external universities Consult with and support the Chief Engineer's Office in executing the office's technical objectives to implement best practice technologies and methods. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Actively mentor and coach identified high potential Engineering talents within one's business lines. Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Qualifications/Requirements The position requires a deep technical understanding of the technologies and design techniques required to develop, manufacture and maintain, high availability, real time, flexible control systems. The successful candidate will deeply understand the intricacies of communication and computing platform technologies and techniques, and how to translate this into an effective value proposition to GE Vernova's customers. This requires a strong foundation in both research and development and project engineering, having demonstrated significant technical depth and recognition as a domain expert across large scale, high reliability, high performance real time control systems, and able to apply state-of-the-art technology to resolve complex technical challenges. Degree or higher education equivalent in a topic related to the development of control solutions, ideally with an application focus to power electronic systems Proven experience in an engineering capacity Excellent overall technical understanding of VSC and LCC-HVDC with deep understanding of the topics identified below: Control algorithm principles and high-level control system functional definition Control algorithm implementation Control software architecture Harmonic stability Interaction studies Multi-terminal system control Grid forming control Multi-vendor control interoperability Control system performance verification & validation Overview of standardization initiatives for HVDC control algorithms in international bodies such as IEEE, IEC and CIGRE Understanding of typical relevant regulatory frameworks, grid codes and standards Familiarity with patent evaluation, application and management Open to business travel Desired Characteristics Strong oral and written communication skills Strong interpersonal and leadership skills Leadership to pursue correct engineering process in adverse conditions Able to interface and communicate effectively with all levels of the organization Considered an industry expert and thought leader in the HVDC control & protection algorithms discipline Additional Information Relocation Assistance Provided: No
Job DescriptionJob Title: Solution Architect PrincipalReq ID: 57798Job Function: Architecture Solution and DesignPosting Start Date: 08/07/2026Posting End Date: 26/07/2026Division: NetworksJob Location: GBR-Birmingham-Three Snowhill, GBR-London-BTHQ One BrahamAdvertised Salary: Competitive + great benefitsJob Req ID:57798Posting Date: 08/07/2026Function: Architecture Solution and DesignLocation: Birmingham, London Working style: Hybrid (3 days a week in office, 2 days from anywhere) About the role We are seeking a Principal Solution Architect to join our Broadband team as the overall design authority for Content Delivery Network (CDN) and Edge Compute solutions across BT, EE, and Plusnet's broadband and mobile services. As a senior techical leader, you will drive the development and delivery of a pan-BT strategy for edge compute and content delivery, collaborating with Customer Facing Units and strategic partners to: Create innovative services for customers and partners Develop and expand revenue streams Enhance customer experience Simplify and consolidate CDN and edge compute functions Deliver strategic transformation using cloud technologies and agile methodologiesWe've seen an explosion in the volume of TV delivery across our network-a trend we expect to accelerate. To meet this demand, we're looking for someone with significant CDN (Content Delivery Network) design expertise to help us co-create cutting-edge solutions with our content partners and deliver the best possible experience to our customers.Aligned with this, we also anticipate the continued convergence of CDN and edge compute capabilities. Experience in both domains will be highly valuable as we evolve our network to support new services, unlock fresh opportunities, and deliver enhanced performance at the edge.You'll bring thought leadership, shape strategy beyond your immediate remit, and share your expertise across teams. A strong background in TV and content distribution technologies, combined with a passion for innovation and product development, will be key to helping us build the future of content delivery. What you'll be doing Develop, influence and deliver strategy to address highly commercial and technical opportunities that are complex, cross-domain or of high impact to customers in support of BT Group goals. Create and implement cross-domain technical solutions for CDN and Edge compute, Operate as a technical expert to architect, design and oversee implementation of CDN and edge compute solutions for BT Group's strategic partners, including software development and additional innovative capabilities. Draw on industry and market insight, together with emerging technologies, whilst understanding the internal and external impact of solutions. Ensure solutions support BT's commercial, technical and strategic objectives. Provide technical leadership for CDN and edge compute to our people across BT Group, developing engagement, vision, skill and capability in the team through inspiring communication, mentoring, coaching, knowledge sharing and participation in goal setting and evaluation. Provide expert technical expertise to consult on end-to-end technical solutions in the CDN and edge compute domain. Identify opportunities to redefine standards of practice within a CDN and edge compute, continuously enhancing ways of working. Provide coaching, leadership and technical guidance to other engineers and developers working in the area. Develop design patterns across CDN/edge and associated domains. Develop close and effective relationships with customers/partners, suppliers and colleagues at a senior level up to CxO, and be able to confidently present information, facilitate negotiations, and provide thought leadership to them. Drive transformation of the technology platform and operating model through the adoption of agile methodologies and automated capabilities. Essential Skills / Experience Demonstrated ability to design and develop complex solution architectures, introducing innovative technologies-often for the first time-across multiple domains in a critical service provider environment. Deep expertise across a broad range of disciplines, including software development, IP networking, cloud/server infrastructure, broadband, mobile, and TV distribution technologies. Proven capability in developing both end-to-end solution architectures and detailed designs for specific CDN (Content delivery network) and edge compute capabilities. Strong knowledge and hands-on experience with both on-premise and public cloud deployments. Track record of delivering end-to-end solution architectures for complex, large-scale, customer-facing service provider products. Aligned technical and project delivery plans with overarching business strategy and values, while also demonstrating the ability to lead or contribute to projects outside of core areas of expertise. Skilled in making sound decisions in ambiguous situations, often with incomplete information or conflicting viewpoints. Experience in leading strategy development. Recognised subject matter expert and thought leader in a significant technology domain. Proven leadership in design communities within complex carrier, service provider, or web-scale network environments. Proficient in agile methodologies and ways of working. Demonstrated ability to lead or contribute to projects outside of core areas of expertise, showcasing adaptability and breadth of knowledge. Desirable Skills / Experience Certified Product Owner with practical experience managing a significant, related product. Strong background in media production and distribution technologies. Experience in a senior technical leadership role within a service provider, hyperscaler, or media production/distribution organisation. Leadership skills. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include: Company car scheme (or cash alternative) 15% on target annual bonus Private healthcare for you and your family Access to an online private GP 24/7 for you and your immediate family Market-leading paid carers leave with up to 2 weeks off Equalised maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay Discounted EE and BT products, including mobile and broadband Market leading Pension scheme - 5% from you and 10% from us Holiday purchase schemeYou can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.BT Group is the UK's leading communications group and the holding company behind some of the country's most recognised brands - including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.BT Group's role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next - simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country's most important companies.
19/07/2026
Full time
Job DescriptionJob Title: Solution Architect PrincipalReq ID: 57798Job Function: Architecture Solution and DesignPosting Start Date: 08/07/2026Posting End Date: 26/07/2026Division: NetworksJob Location: GBR-Birmingham-Three Snowhill, GBR-London-BTHQ One BrahamAdvertised Salary: Competitive + great benefitsJob Req ID:57798Posting Date: 08/07/2026Function: Architecture Solution and DesignLocation: Birmingham, London Working style: Hybrid (3 days a week in office, 2 days from anywhere) About the role We are seeking a Principal Solution Architect to join our Broadband team as the overall design authority for Content Delivery Network (CDN) and Edge Compute solutions across BT, EE, and Plusnet's broadband and mobile services. As a senior techical leader, you will drive the development and delivery of a pan-BT strategy for edge compute and content delivery, collaborating with Customer Facing Units and strategic partners to: Create innovative services for customers and partners Develop and expand revenue streams Enhance customer experience Simplify and consolidate CDN and edge compute functions Deliver strategic transformation using cloud technologies and agile methodologiesWe've seen an explosion in the volume of TV delivery across our network-a trend we expect to accelerate. To meet this demand, we're looking for someone with significant CDN (Content Delivery Network) design expertise to help us co-create cutting-edge solutions with our content partners and deliver the best possible experience to our customers.Aligned with this, we also anticipate the continued convergence of CDN and edge compute capabilities. Experience in both domains will be highly valuable as we evolve our network to support new services, unlock fresh opportunities, and deliver enhanced performance at the edge.You'll bring thought leadership, shape strategy beyond your immediate remit, and share your expertise across teams. A strong background in TV and content distribution technologies, combined with a passion for innovation and product development, will be key to helping us build the future of content delivery. What you'll be doing Develop, influence and deliver strategy to address highly commercial and technical opportunities that are complex, cross-domain or of high impact to customers in support of BT Group goals. Create and implement cross-domain technical solutions for CDN and Edge compute, Operate as a technical expert to architect, design and oversee implementation of CDN and edge compute solutions for BT Group's strategic partners, including software development and additional innovative capabilities. Draw on industry and market insight, together with emerging technologies, whilst understanding the internal and external impact of solutions. Ensure solutions support BT's commercial, technical and strategic objectives. Provide technical leadership for CDN and edge compute to our people across BT Group, developing engagement, vision, skill and capability in the team through inspiring communication, mentoring, coaching, knowledge sharing and participation in goal setting and evaluation. Provide expert technical expertise to consult on end-to-end technical solutions in the CDN and edge compute domain. Identify opportunities to redefine standards of practice within a CDN and edge compute, continuously enhancing ways of working. Provide coaching, leadership and technical guidance to other engineers and developers working in the area. Develop design patterns across CDN/edge and associated domains. Develop close and effective relationships with customers/partners, suppliers and colleagues at a senior level up to CxO, and be able to confidently present information, facilitate negotiations, and provide thought leadership to them. Drive transformation of the technology platform and operating model through the adoption of agile methodologies and automated capabilities. Essential Skills / Experience Demonstrated ability to design and develop complex solution architectures, introducing innovative technologies-often for the first time-across multiple domains in a critical service provider environment. Deep expertise across a broad range of disciplines, including software development, IP networking, cloud/server infrastructure, broadband, mobile, and TV distribution technologies. Proven capability in developing both end-to-end solution architectures and detailed designs for specific CDN (Content delivery network) and edge compute capabilities. Strong knowledge and hands-on experience with both on-premise and public cloud deployments. Track record of delivering end-to-end solution architectures for complex, large-scale, customer-facing service provider products. Aligned technical and project delivery plans with overarching business strategy and values, while also demonstrating the ability to lead or contribute to projects outside of core areas of expertise. Skilled in making sound decisions in ambiguous situations, often with incomplete information or conflicting viewpoints. Experience in leading strategy development. Recognised subject matter expert and thought leader in a significant technology domain. Proven leadership in design communities within complex carrier, service provider, or web-scale network environments. Proficient in agile methodologies and ways of working. Demonstrated ability to lead or contribute to projects outside of core areas of expertise, showcasing adaptability and breadth of knowledge. Desirable Skills / Experience Certified Product Owner with practical experience managing a significant, related product. Strong background in media production and distribution technologies. Experience in a senior technical leadership role within a service provider, hyperscaler, or media production/distribution organisation. Leadership skills. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include: Company car scheme (or cash alternative) 15% on target annual bonus Private healthcare for you and your family Access to an online private GP 24/7 for you and your immediate family Market-leading paid carers leave with up to 2 weeks off Equalised maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay Discounted EE and BT products, including mobile and broadband Market leading Pension scheme - 5% from you and 10% from us Holiday purchase schemeYou can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.BT Group is the UK's leading communications group and the holding company behind some of the country's most recognised brands - including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.BT Group's role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next - simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country's most important companies.
Requisition ID11217-Posted - Years of Experience (1) -Consulting- Where (1) SolidsoftReply is the Reply Group companyspecialisedin developing digital healthcare solutions for patient safety and closed-loop medicine management. We partner with Healthcare and Industry, helping our customers succeed through ourexpertisein designing and implementing innovative solutions, and through our continued commitment and investment in Microsoft technologies and the Microsoft Azure cloud platform. We are a published thought leader and deliver software and services via our team of highly skilled and competent people. Role Overview As a Principal DevOps Engineer, you will join a successful Microsoft Gold Partner and accredited Microsoft Expert Managed Service Provider (MSP) within a multidisciplinary development team. You will lead the DevOps team, taking responsibility for defining and implementing the most suitable tools, infrastructure, and build and release processes to support development activities. Working closely with developers, project managers, and Operations, you will drive best practice techniques in Azure to ensure successful delivery of new functionality into production while maintaining effective cost control. You will also identify process improvements, ensure compliance with security and regulatory requirements, manage certificate lifecycles, resolve infrastructure-related issues, and mentor junior DevOps team members. Responsibilities Lead and take full ownership of ADO administration, including repository creation, management, and ongoing maintenance Own and manage build and release processes across both test and live environments Create and maintain ARM templates and YAML scripts to support deployment activities Define and manage lifecycle processes, including release and branching strategies Maintain full ownership of build and release definitions, runbooks, risk analysis, and supporting documentation for integration and production environments Administer Azure services, including VMs, App Services, networking, storage, monitoring, and security components Perform PowerShell scripting for Azure resource administration and automation Manage SQL and Active Directory environments, including users, roles, permissions, policies, and certificate security About the Candidate Minimum of a Bachelor's degree in a related field Minimum 5 years of experience in a DevOps role Strong expertise in Azure services and infrastructure configuration Expert-level experience in ADO administration, including repositories, build and release processes, and lifecycle management Proficiency in PowerShell scripting for Azure resource administration Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
19/07/2026
Full time
Requisition ID11217-Posted - Years of Experience (1) -Consulting- Where (1) SolidsoftReply is the Reply Group companyspecialisedin developing digital healthcare solutions for patient safety and closed-loop medicine management. We partner with Healthcare and Industry, helping our customers succeed through ourexpertisein designing and implementing innovative solutions, and through our continued commitment and investment in Microsoft technologies and the Microsoft Azure cloud platform. We are a published thought leader and deliver software and services via our team of highly skilled and competent people. Role Overview As a Principal DevOps Engineer, you will join a successful Microsoft Gold Partner and accredited Microsoft Expert Managed Service Provider (MSP) within a multidisciplinary development team. You will lead the DevOps team, taking responsibility for defining and implementing the most suitable tools, infrastructure, and build and release processes to support development activities. Working closely with developers, project managers, and Operations, you will drive best practice techniques in Azure to ensure successful delivery of new functionality into production while maintaining effective cost control. You will also identify process improvements, ensure compliance with security and regulatory requirements, manage certificate lifecycles, resolve infrastructure-related issues, and mentor junior DevOps team members. Responsibilities Lead and take full ownership of ADO administration, including repository creation, management, and ongoing maintenance Own and manage build and release processes across both test and live environments Create and maintain ARM templates and YAML scripts to support deployment activities Define and manage lifecycle processes, including release and branching strategies Maintain full ownership of build and release definitions, runbooks, risk analysis, and supporting documentation for integration and production environments Administer Azure services, including VMs, App Services, networking, storage, monitoring, and security components Perform PowerShell scripting for Azure resource administration and automation Manage SQL and Active Directory environments, including users, roles, permissions, policies, and certificate security About the Candidate Minimum of a Bachelor's degree in a related field Minimum 5 years of experience in a DevOps role Strong expertise in Azure services and infrastructure configuration Expert-level experience in ADO administration, including repositories, build and release processes, and lifecycle management Proficiency in PowerShell scripting for Azure resource administration Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Yapily Ltd is looking for a Principal Front End Developer to lead their front-end ecosystem and integrate AI-native workflows. In this role, you will drive UI development standards and collaborate with cross-functional teams while mentoring a talented team. The ideal candidate should have expert-level skills in front-end development, strong proficiency in back-end technologies, and experience with modern JavaScript frameworks like React. Flexible working conditions, including hybrid options, will be supported.
18/07/2026
Full time
Yapily Ltd is looking for a Principal Front End Developer to lead their front-end ecosystem and integrate AI-native workflows. In this role, you will drive UI development standards and collaborate with cross-functional teams while mentoring a talented team. The ideal candidate should have expert-level skills in front-end development, strong proficiency in back-end technologies, and experience with modern JavaScript frameworks like React. Flexible working conditions, including hybrid options, will be supported.
We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. You will bridge the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery to scale pipeline, you will identify recurring patterns and lead validated solutions generalization into enterprise capabilities. This role encompasses organization wide technical strategy and architectural direction. You will define strategic direction, be accountable for outcomes, shape organizational practices, and maintain external industry visibility. You will handle organizational scale complexity, creating clarity from chaos. ROLE RESPONSIBILITIES DELIVERY Application Deployment: Shape deployment strategy across the business unit, drive platform adoption, establish deployment best practices at scale, and demonstrate deployment architecture expertise. Data Integration: Define data integration patterns and best practices, architect large scale data flows, solve complex integration challenges, and act as the authority on enterprise data integration. Full Stack Development: Work comfortably in any language, rapidly acquire new skills, deliver production solutions in days, shape full stack practices, and exemplify polymathic engineering. Problem Discovery: Shape approaches to problem discovery, transform ambiguous situations into clear opportunities, influence how teams engage with business problems, and become the go to person for undefined challenges. Prototype to Production: Shape prototype to production practices, define standards for handoff, establish quality gates for each conversion layer, and efficiently turn validated prototypes into production systems. ARTIFICIAL INTELLIGENCE AI Engineering Strategy: Pioneer AI integration patterns, publish on AI augmented development, and lead AI in engineering. AI Evaluation & Observability: Shape AI observability and evaluation practices, pioneer novel evaluation methodologies, contribute to industry standards for LLM evaluation, and lead AI quality assurance at scale. AI Literacy: Shape AI literacy programs, contribute to industry understanding, speak publicly on AI applications, and lead AI thought leadership. AI Augmented Development: Shape AI development tooling strategy, pioneer new patterns, and balance speed with verification rigor. LLM Integration: Shape LLM integration strategy, architect multi provider gateway patterns, drive enterprise LLM governance, and lead LLM integration expertise. DOCUMENTATION Knowledge Strategy: Enable broad knowledge sharing and achieve documentation excellence. Developer Experience: Create innovative approaches to internal platforms, build high adoption self service capabilities, and influence industry practices. Knowledge Management: Build knowledge sharing organizations, drive learning culture, and provide governance frameworks. Pattern Generalization: Define organizational approach to pattern generalization, balance standardization with field flexibility, and build platform capabilities from field discoveries. Technical Writing: Innovate documentation approaches, maintain exceptional clarity, and lead documentation initiatives. MACHINE LEARNING ML Strategy: Lead enterprise ML initiatives and innovate on ML approaches across the business unit. Model Development: Innovate on ML for novel problems, shape strategy, and contribute to research or publication. Model Fine Tuning: Innovate fine tuning approaches, shape customization strategy, and serve as a fine tuning authority. Retrieval Augmentation: Innovate on RAG architectures, shape strategy, and contribute to research or tooling. BUSINESS Technology Driven Strategy: Represent the technical perspective at executive level and bridge engineering and business. Business Immersion: Influence domain strategy, embody the immersion mindset, and shape engineering engagement with business. Stakeholder Management: Shape stakeholder practices, manage executive relationships, and build exceptional partnerships. PEOPLE Technical Leadership: Develop leaders, shape talent strategy, and build high performing teams. Multi Audience Communication: Represent engineering externally, communicate across all levels, and bridge audience gaps. Team Collaboration: Cultivate collaborative culture, transform dysfunctional dynamics, and mentor collaboration excellence. ROLE BEHAVIOURS Curiosity: Shape culture around continuous learning and experimental initiatives. Outcome Ownership: Define accountability standards and drive transformational initiatives. Polymath Orientation: Champion cross disciplinary learning and holistic solutions. Precision Communication: Mentor precise communication and drive clarity across roles. Systems Thinking: Shape system design practices, conduct chaos engineering, and bridge technical systems with business processes. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience. Deep technical expertise with a proven track record of organization wide technical leadership. EXPERT LEVEL SKILLS Business Immersion: Recognized thought leader shaping strategy and engagement. Data Integration: Define patterns, architect large scale flows, and lead enterprise integration. Full Stack Development: Deliver production solutions quickly, shape practices, and exemplify polymathy. Multi Audience Communication: Shape communication practices, represent externally, and bridge audiences. Problem Discovery: Transform ambiguous situations, guide business problem engagement, and lead undefined challenges. Rapid Prototyping & Validation: Shape rapid validation culture, define prototype to production standards, and deliver in days. Stakeholder Management: Manage executive relationships and build exceptional partnerships. Team Collaboration: Build collaborative culture and mentor collaboration excellence. PRACTITIONER LEVEL SKILLS AI Evaluation & Verification: Lead governance, create evaluation standards, and train on AI verification. AI Literacy: Guide adoption decisions, assess risks, and train responsible use. AI Augmented Development: Optimize tool usage, train on workflows, evaluate new tools, and balance speed with verification. Architecture & Design: Design complex systems, evaluate options, guide decisions, and mentor architecture. Code Quality & Review: Enforce standards, mentor code review, ensure AI verification depth, and drive testing strategies. Developer Experience: Lead initiatives, design self service platforms, establish metrics, conduct research, and mentor platform thinking. Knowledge Management: Lead initiatives, create knowledge systems, and mentor sharing. Pattern Generalization: Lead initiatives, define criteria, and mentor abstraction design. Service Management: Lead practices, optimize portfolios, balance investments, and train service thinking. Site Reliability Engineering: Define standards, drive incident improvements, design capacity, and mentor SRE practices. Technical Writing: Define standards, create systems and templates, train on spec driven development, and ensure quality. WORKING LEVEL SKILLS Cloud Platforms: Design solutions, manage infrastructure as code, implement security, and troubleshoot. Data Modeling: Create efficient models, optimize queries, handle migrations, and choose storage. DevOps & CI/CD: Build pipelines, manage infrastructure as code, implement monitoring, and design deployment strategies. Lean Thinking & Flow: Optimize processes, measure cycle time, remove bottlenecks, and maintain quality. Technical Debt Management: Prioritize systematically, balance debt and features, and make pragmatic trade offs. Time Management & Deep Work: Protect focused time, balance priorities, minimize context switching, and help others understand capacity. Work Location Assignment: Hybrid We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms, allowing us to be as diverse as the patients and communities we serve. We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to apply with confidence, knowing we will make reasonable adjustments to support your application and future career. Pfizer endeavors to make our careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email . Requests for accommodation are accepted only for accessibility purposes. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI use guidelines available on Pfizer Careers.
18/07/2026
Full time
We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. You will bridge the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery to scale pipeline, you will identify recurring patterns and lead validated solutions generalization into enterprise capabilities. This role encompasses organization wide technical strategy and architectural direction. You will define strategic direction, be accountable for outcomes, shape organizational practices, and maintain external industry visibility. You will handle organizational scale complexity, creating clarity from chaos. ROLE RESPONSIBILITIES DELIVERY Application Deployment: Shape deployment strategy across the business unit, drive platform adoption, establish deployment best practices at scale, and demonstrate deployment architecture expertise. Data Integration: Define data integration patterns and best practices, architect large scale data flows, solve complex integration challenges, and act as the authority on enterprise data integration. Full Stack Development: Work comfortably in any language, rapidly acquire new skills, deliver production solutions in days, shape full stack practices, and exemplify polymathic engineering. Problem Discovery: Shape approaches to problem discovery, transform ambiguous situations into clear opportunities, influence how teams engage with business problems, and become the go to person for undefined challenges. Prototype to Production: Shape prototype to production practices, define standards for handoff, establish quality gates for each conversion layer, and efficiently turn validated prototypes into production systems. ARTIFICIAL INTELLIGENCE AI Engineering Strategy: Pioneer AI integration patterns, publish on AI augmented development, and lead AI in engineering. AI Evaluation & Observability: Shape AI observability and evaluation practices, pioneer novel evaluation methodologies, contribute to industry standards for LLM evaluation, and lead AI quality assurance at scale. AI Literacy: Shape AI literacy programs, contribute to industry understanding, speak publicly on AI applications, and lead AI thought leadership. AI Augmented Development: Shape AI development tooling strategy, pioneer new patterns, and balance speed with verification rigor. LLM Integration: Shape LLM integration strategy, architect multi provider gateway patterns, drive enterprise LLM governance, and lead LLM integration expertise. DOCUMENTATION Knowledge Strategy: Enable broad knowledge sharing and achieve documentation excellence. Developer Experience: Create innovative approaches to internal platforms, build high adoption self service capabilities, and influence industry practices. Knowledge Management: Build knowledge sharing organizations, drive learning culture, and provide governance frameworks. Pattern Generalization: Define organizational approach to pattern generalization, balance standardization with field flexibility, and build platform capabilities from field discoveries. Technical Writing: Innovate documentation approaches, maintain exceptional clarity, and lead documentation initiatives. MACHINE LEARNING ML Strategy: Lead enterprise ML initiatives and innovate on ML approaches across the business unit. Model Development: Innovate on ML for novel problems, shape strategy, and contribute to research or publication. Model Fine Tuning: Innovate fine tuning approaches, shape customization strategy, and serve as a fine tuning authority. Retrieval Augmentation: Innovate on RAG architectures, shape strategy, and contribute to research or tooling. BUSINESS Technology Driven Strategy: Represent the technical perspective at executive level and bridge engineering and business. Business Immersion: Influence domain strategy, embody the immersion mindset, and shape engineering engagement with business. Stakeholder Management: Shape stakeholder practices, manage executive relationships, and build exceptional partnerships. PEOPLE Technical Leadership: Develop leaders, shape talent strategy, and build high performing teams. Multi Audience Communication: Represent engineering externally, communicate across all levels, and bridge audience gaps. Team Collaboration: Cultivate collaborative culture, transform dysfunctional dynamics, and mentor collaboration excellence. ROLE BEHAVIOURS Curiosity: Shape culture around continuous learning and experimental initiatives. Outcome Ownership: Define accountability standards and drive transformational initiatives. Polymath Orientation: Champion cross disciplinary learning and holistic solutions. Precision Communication: Mentor precise communication and drive clarity across roles. Systems Thinking: Shape system design practices, conduct chaos engineering, and bridge technical systems with business processes. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience. Deep technical expertise with a proven track record of organization wide technical leadership. EXPERT LEVEL SKILLS Business Immersion: Recognized thought leader shaping strategy and engagement. Data Integration: Define patterns, architect large scale flows, and lead enterprise integration. Full Stack Development: Deliver production solutions quickly, shape practices, and exemplify polymathy. Multi Audience Communication: Shape communication practices, represent externally, and bridge audiences. Problem Discovery: Transform ambiguous situations, guide business problem engagement, and lead undefined challenges. Rapid Prototyping & Validation: Shape rapid validation culture, define prototype to production standards, and deliver in days. Stakeholder Management: Manage executive relationships and build exceptional partnerships. Team Collaboration: Build collaborative culture and mentor collaboration excellence. PRACTITIONER LEVEL SKILLS AI Evaluation & Verification: Lead governance, create evaluation standards, and train on AI verification. AI Literacy: Guide adoption decisions, assess risks, and train responsible use. AI Augmented Development: Optimize tool usage, train on workflows, evaluate new tools, and balance speed with verification. Architecture & Design: Design complex systems, evaluate options, guide decisions, and mentor architecture. Code Quality & Review: Enforce standards, mentor code review, ensure AI verification depth, and drive testing strategies. Developer Experience: Lead initiatives, design self service platforms, establish metrics, conduct research, and mentor platform thinking. Knowledge Management: Lead initiatives, create knowledge systems, and mentor sharing. Pattern Generalization: Lead initiatives, define criteria, and mentor abstraction design. Service Management: Lead practices, optimize portfolios, balance investments, and train service thinking. Site Reliability Engineering: Define standards, drive incident improvements, design capacity, and mentor SRE practices. Technical Writing: Define standards, create systems and templates, train on spec driven development, and ensure quality. WORKING LEVEL SKILLS Cloud Platforms: Design solutions, manage infrastructure as code, implement security, and troubleshoot. Data Modeling: Create efficient models, optimize queries, handle migrations, and choose storage. DevOps & CI/CD: Build pipelines, manage infrastructure as code, implement monitoring, and design deployment strategies. Lean Thinking & Flow: Optimize processes, measure cycle time, remove bottlenecks, and maintain quality. Technical Debt Management: Prioritize systematically, balance debt and features, and make pragmatic trade offs. Time Management & Deep Work: Protect focused time, balance priorities, minimize context switching, and help others understand capacity. Work Location Assignment: Hybrid We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms, allowing us to be as diverse as the patients and communities we serve. We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to apply with confidence, knowing we will make reasonable adjustments to support your application and future career. Pfizer endeavors to make our careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email . Requests for accommodation are accepted only for accessibility purposes. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI use guidelines available on Pfizer Careers.
About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
18/07/2026
Full time
About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
As a Principal GCP Data Engineer, you'll be a true subject matter expert in using the data processing and management capabilities of Google Cloud to develop data-driven solutions for our clients. You will typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern best practices. As part of your responsibilities, you will be expected to: Develop robust data processing jobs using tools such as Google Cloud Dataflow, Dataproc and BigQuery Design and deliver automated data pipelines that use orchestration tools such as Cloud Composer Design end-to-end solutions and contribute to architecture discussions beyond data processing Own the development process for your team, building strong principles and putting robust methods and patterns in place across architecture, scope, code quality and deployments. Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation. Actively define and evolve PA's data engineering standards and practices, ensuring we maintain a shared, modern and robust approach. Lead and influence technical discussions with client stakeholders to achieve the collective buy in required to be successful Coach and mentor team members, regardless of seniority, and work with them to build their expertise and understanding. Qualifications To be successful in this role, you will need to have: Experience delivering and deploying production ready data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end to end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non relational, document, row based/columnar data stores, data warehousing and data lakes. Expert understanding of data pipeline patterns and approaches such as event driven architectures, ETL/ELT, stream processing and data visualisation. Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data requirements of the business. Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like Dataplex Experience in developing solutions on GCP using cloud native principles and patterns. Experience building data quality alerting and data quarantine solutions to ensure downstream datasets can be trusted. Experience implementing CI/CD pipelines using techniques including as git code control/branching, automated tests and automated deployments. Comfortable working in an Agile team using Scrum or Kanban methodologies. In addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non functional requirements such as performance and availability You are pragmatic and already understand that writing code is only part of what a data engineer does. You can clearly communicate with both clients and peers, describing technical issues and solutions in both written and meeting/workshop contexts. You are able to clearly explain technical concepts to non technical audiences at all levels of an organisation. You are able to influence and persuade senior and specialist client stakeholders, potentially across multiple organisational boundaries without direct authority. You are a confident problem solver and troubleshooter. You are confident and generous in sharing your specialist knowledge, ideas and solutions. You are constantly learning and able to make others better by consciously teaching and unconsciously inspiring. Additional information Benefits package at PA: Private medical insurance Interest free season ticket loan 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn, childcare benefits) Voluntary benefits (Dental, critical illness, spouse/partner life assurance)
18/07/2026
Full time
As a Principal GCP Data Engineer, you'll be a true subject matter expert in using the data processing and management capabilities of Google Cloud to develop data-driven solutions for our clients. You will typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern best practices. As part of your responsibilities, you will be expected to: Develop robust data processing jobs using tools such as Google Cloud Dataflow, Dataproc and BigQuery Design and deliver automated data pipelines that use orchestration tools such as Cloud Composer Design end-to-end solutions and contribute to architecture discussions beyond data processing Own the development process for your team, building strong principles and putting robust methods and patterns in place across architecture, scope, code quality and deployments. Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation. Actively define and evolve PA's data engineering standards and practices, ensuring we maintain a shared, modern and robust approach. Lead and influence technical discussions with client stakeholders to achieve the collective buy in required to be successful Coach and mentor team members, regardless of seniority, and work with them to build their expertise and understanding. Qualifications To be successful in this role, you will need to have: Experience delivering and deploying production ready data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end to end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non relational, document, row based/columnar data stores, data warehousing and data lakes. Expert understanding of data pipeline patterns and approaches such as event driven architectures, ETL/ELT, stream processing and data visualisation. Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data requirements of the business. Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like Dataplex Experience in developing solutions on GCP using cloud native principles and patterns. Experience building data quality alerting and data quarantine solutions to ensure downstream datasets can be trusted. Experience implementing CI/CD pipelines using techniques including as git code control/branching, automated tests and automated deployments. Comfortable working in an Agile team using Scrum or Kanban methodologies. In addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non functional requirements such as performance and availability You are pragmatic and already understand that writing code is only part of what a data engineer does. You can clearly communicate with both clients and peers, describing technical issues and solutions in both written and meeting/workshop contexts. You are able to clearly explain technical concepts to non technical audiences at all levels of an organisation. You are able to influence and persuade senior and specialist client stakeholders, potentially across multiple organisational boundaries without direct authority. You are a confident problem solver and troubleshooter. You are confident and generous in sharing your specialist knowledge, ideas and solutions. You are constantly learning and able to make others better by consciously teaching and unconsciously inspiring. Additional information Benefits package at PA: Private medical insurance Interest free season ticket loan 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn, childcare benefits) Voluntary benefits (Dental, critical illness, spouse/partner life assurance)
About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
18/07/2026
Full time
About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
Principal Java Engineer Department: Tech Employment Type: Permanent - Full Time Location: Wallingford, UK - Hybrid Description Mission: As Principal Java Engineer, you will provide technical leadership for GTI's core SaaS platform. Reporting directly to the CTO, you will own the technical direction, architecture and engineering standards of the platform without direct line management responsibility. You will work closely with Product, Data, Operations, DevOps and QA teams to deliver secure, resilient and scalable solutions while mentoring engineers through technical leadership and best practice. Outcomes Platform architecture is scalable, resilient, secure and supports current and future business needs Own the application architecture and technical direction across multiple products and services. Design, implement and review high-quality Java and full-stack solutions, APIs and integrations. Lead performance optimisation, scalability and resilience initiatives. Drive security best practices, vulnerability remediation and secure software development lifecycle (SDLC) practices. Work closely with Data, Operations, DevOps and QA teams to ensure architectural alignment and operational excellence. Product roadmap is delivered successfully through strong technical leadership and effective engineering execution Provide technical leadership across multiple Agile development teams. Translate business and product requirements into robust technical solutions. Support engineering teams in the successful delivery of roadmap commitments. Facilitate collaboration across teams to remove technical blockers and mitigate delivery risks. Mentor and guide developers to improve capability, quality and delivery outcomes. Engineering standards, architecture principles and best practices are consistently applied across development teams Define, maintain and champion engineering standards, architectural principles and development best practices. Conduct design and code reviews to ensure quality, maintainability and consistency. Author new development processes and continuously improve existing engineering practices. Promote secure, scalable and maintainable software design across all teams. Support and mentor team members to drive technical excellence and continuous improvement. Production systems are reliable, observable and operationally excellent Lead root cause analysis and resolution of complex production issues. Drive improvements in system observability, monitoring and operational performance. Ensure applications are designed and operated to meet reliability, availability and performance targets. Partner with Operations, DevOps and QA teams to maintain production stability and service quality. Embed a culture of operational excellence, continuous improvement and proactive issue prevention. Technologies you will be using: Java 21 (LTS) Spring Framework 6 / Spring Boot 3.5 Hibernate ORM 6.6+, JPA Apache Tomcat 11, IntelliJ IDEA AI Tooling (Claude, Codex, Gitlab Duo, etc) REST APIs, OpenAPI, Microservices, Event-driven architecture (RabbitMQ) Containers, Docker, AWS, Linux CI/CD with GitLab Pipelines & Jenkins Observability: logging, metrics and monitoring MySQL, Apache Solr Front-end UI (e.g. Angular) Person Specification Strategic and systems-thinking mindset Excellent communication and stakeholder management skills Ability to influence through technical leadership rather than line management Proactive, pragmatic and outcome-focused Strong mentoring and collaborative working style High standards of engineering excellence and continuous improvement Trusted technical advisor Excellent attention to detail Work Experience, Knowledge & Skills: Degree in Computer Science (or equivalent experience) Extensive Java software engineering experience with significant experience in technical leadership Expert knowledge of Java, JVM performance and modern language features Deep experience with Spring Boot, Hibernate/JPA and enterprise application architecture Strong understanding of distributed systems, scalability, resilience and performance tuning Experience with cloud-native applications, Docker, Kubernetes and CI/CD Strong knowledge of application security, OWASP principles and secure development practices Knowledge of a modern front-end node-based framework Other Information Permanent role - 37.5 hours per week. Monday to Friday 9am-5:30pm. 3-month probationary period. Candidates applying for roles at GTI will be subject to background screening. You can find out more about our background screening and the recruitment of ex-offenders by reading our policies. If you would like to speak to a member of our team to find out more information about this vacancy or you have any questions, please get in touch - .
18/07/2026
Full time
Principal Java Engineer Department: Tech Employment Type: Permanent - Full Time Location: Wallingford, UK - Hybrid Description Mission: As Principal Java Engineer, you will provide technical leadership for GTI's core SaaS platform. Reporting directly to the CTO, you will own the technical direction, architecture and engineering standards of the platform without direct line management responsibility. You will work closely with Product, Data, Operations, DevOps and QA teams to deliver secure, resilient and scalable solutions while mentoring engineers through technical leadership and best practice. Outcomes Platform architecture is scalable, resilient, secure and supports current and future business needs Own the application architecture and technical direction across multiple products and services. Design, implement and review high-quality Java and full-stack solutions, APIs and integrations. Lead performance optimisation, scalability and resilience initiatives. Drive security best practices, vulnerability remediation and secure software development lifecycle (SDLC) practices. Work closely with Data, Operations, DevOps and QA teams to ensure architectural alignment and operational excellence. Product roadmap is delivered successfully through strong technical leadership and effective engineering execution Provide technical leadership across multiple Agile development teams. Translate business and product requirements into robust technical solutions. Support engineering teams in the successful delivery of roadmap commitments. Facilitate collaboration across teams to remove technical blockers and mitigate delivery risks. Mentor and guide developers to improve capability, quality and delivery outcomes. Engineering standards, architecture principles and best practices are consistently applied across development teams Define, maintain and champion engineering standards, architectural principles and development best practices. Conduct design and code reviews to ensure quality, maintainability and consistency. Author new development processes and continuously improve existing engineering practices. Promote secure, scalable and maintainable software design across all teams. Support and mentor team members to drive technical excellence and continuous improvement. Production systems are reliable, observable and operationally excellent Lead root cause analysis and resolution of complex production issues. Drive improvements in system observability, monitoring and operational performance. Ensure applications are designed and operated to meet reliability, availability and performance targets. Partner with Operations, DevOps and QA teams to maintain production stability and service quality. Embed a culture of operational excellence, continuous improvement and proactive issue prevention. Technologies you will be using: Java 21 (LTS) Spring Framework 6 / Spring Boot 3.5 Hibernate ORM 6.6+, JPA Apache Tomcat 11, IntelliJ IDEA AI Tooling (Claude, Codex, Gitlab Duo, etc) REST APIs, OpenAPI, Microservices, Event-driven architecture (RabbitMQ) Containers, Docker, AWS, Linux CI/CD with GitLab Pipelines & Jenkins Observability: logging, metrics and monitoring MySQL, Apache Solr Front-end UI (e.g. Angular) Person Specification Strategic and systems-thinking mindset Excellent communication and stakeholder management skills Ability to influence through technical leadership rather than line management Proactive, pragmatic and outcome-focused Strong mentoring and collaborative working style High standards of engineering excellence and continuous improvement Trusted technical advisor Excellent attention to detail Work Experience, Knowledge & Skills: Degree in Computer Science (or equivalent experience) Extensive Java software engineering experience with significant experience in technical leadership Expert knowledge of Java, JVM performance and modern language features Deep experience with Spring Boot, Hibernate/JPA and enterprise application architecture Strong understanding of distributed systems, scalability, resilience and performance tuning Experience with cloud-native applications, Docker, Kubernetes and CI/CD Strong knowledge of application security, OWASP principles and secure development practices Knowledge of a modern front-end node-based framework Other Information Permanent role - 37.5 hours per week. Monday to Friday 9am-5:30pm. 3-month probationary period. Candidates applying for roles at GTI will be subject to background screening. You can find out more about our background screening and the recruitment of ex-offenders by reading our policies. If you would like to speak to a member of our team to find out more information about this vacancy or you have any questions, please get in touch - .
Technical Project Manager / Scrum Master (Contract) Start Date: August / September 2026 Duration: 3-6 Months (Likely Extensions) Day Rate: £800-£900 per day (Negotiable) IR35 Status: Outside IR35 Location: London (Hybrid - Minimum 3 days per week onsite) Key Skills & Experience: Technical Project Manager, Scrum Master or Technical Delivery Lead experience. Managing complex technical projects within Banking or Capital Markets. Managing both technical delivery and stakeholder expectations. Strong understanding of software development lifecycle, Agile methodologies and engineering best practices. Hands on Software Development: C or C++ or Java. Hands on role: remain technically active and contribute directly to software development. Previous experience as Senior Developer, Lead Developer, Principal Engineer or Software Development Manager. Banking & Trading: Experience within Investment Banking or Capital Markets. Supporting Front Office technology teams. Strong understanding of Trading platforms and workflows. FX experience essential. FICC experience advantageous. Ability to manage multiple concurrent workstreams. Experience with project governance, planning and delivery management. PRINCE2, Scrum Master certification or equivalent advantageous.
18/07/2026
Full time
Technical Project Manager / Scrum Master (Contract) Start Date: August / September 2026 Duration: 3-6 Months (Likely Extensions) Day Rate: £800-£900 per day (Negotiable) IR35 Status: Outside IR35 Location: London (Hybrid - Minimum 3 days per week onsite) Key Skills & Experience: Technical Project Manager, Scrum Master or Technical Delivery Lead experience. Managing complex technical projects within Banking or Capital Markets. Managing both technical delivery and stakeholder expectations. Strong understanding of software development lifecycle, Agile methodologies and engineering best practices. Hands on Software Development: C or C++ or Java. Hands on role: remain technically active and contribute directly to software development. Previous experience as Senior Developer, Lead Developer, Principal Engineer or Software Development Manager. Banking & Trading: Experience within Investment Banking or Capital Markets. Supporting Front Office technology teams. Strong understanding of Trading platforms and workflows. FX experience essential. FICC experience advantageous. Ability to manage multiple concurrent workstreams. Experience with project governance, planning and delivery management. PRINCE2, Scrum Master certification or equivalent advantageous.
Ascent People Ltd in the East Midlands is seeking a Principal C# Developer to join Leicester-based teams working on ASP.NET API MVC and cloud-enabled enterprise solutions. The role offers a salary up to £50,000 plus bonus and requires strong C# skills, MVC, TDD, and design-pattern knowledge. You will be based on-site with free parking and an on-site canteen, with easy commutes from Derby, Nottingham, and Leicester.
18/07/2026
Full time
Ascent People Ltd in the East Midlands is seeking a Principal C# Developer to join Leicester-based teams working on ASP.NET API MVC and cloud-enabled enterprise solutions. The role offers a salary up to £50,000 plus bonus and requires strong C# skills, MVC, TDD, and design-pattern knowledge. You will be based on-site with free parking and an on-site canteen, with easy commutes from Derby, Nottingham, and Leicester.
Ascent People Ltd in West Midlands is seeking a Principal C# Developer to lead architecture and hands-on development of SAAS and enterprise solutions. You will design full lifecycle .NET software, mentor teammates, and engage with clients on technical strategies. Working in an Agile environment, you will collaborate with cross-functional teams, implement modern front-end stacks, and ensure code quality with automated tests and CI/CD pipelines. Strong C# and SQL Server skills are essential.
18/07/2026
Full time
Ascent People Ltd in West Midlands is seeking a Principal C# Developer to lead architecture and hands-on development of SAAS and enterprise solutions. You will design full lifecycle .NET software, mentor teammates, and engage with clients on technical strategies. Working in an Agile environment, you will collaborate with cross-functional teams, implement modern front-end stacks, and ensure code quality with automated tests and CI/CD pipelines. Strong C# and SQL Server skills are essential.
Principal Java Developer - Nottingham Location: Nottingham, East Midlands Industry: IT Salary: £45-55K per annum + Benefits Description An award winning software house is recruiting a Principal Java Developer. The role involves designing, analysing, documenting and developing high quality Java applications, collaborating with other Java developers on design decisions and mentoring junior staff. Responsibilities Lead the design and development of Java/JEE applications. Collaborate with cross functional teams on technical architecture. Write clean, maintainable code using Java SE, JDK 7, JEE, J2EE. Mentor junior developers. Provide technical guidance and decisions for application requirements. Qualifications 8+ years experience in Java development. 3+ years of JEE experience. Experience with Wildfly 8, JAX RS, CDI (Weld), EJB 3, JPA. Java SE, JDK 7, Java EE, J2EE knowledge. JEE certification is a plus; Sun/Oracle Java certification desirable. Benefits Competitive benefits package with internal promotion and development opportunities. Eligibility Candidates of all ages and backgrounds will be considered for this role. Recruiter Ascent People LTD - Acting as an employment agency for this vacancy. Contact: Amy Haughey Phone: Email:
18/07/2026
Full time
Principal Java Developer - Nottingham Location: Nottingham, East Midlands Industry: IT Salary: £45-55K per annum + Benefits Description An award winning software house is recruiting a Principal Java Developer. The role involves designing, analysing, documenting and developing high quality Java applications, collaborating with other Java developers on design decisions and mentoring junior staff. Responsibilities Lead the design and development of Java/JEE applications. Collaborate with cross functional teams on technical architecture. Write clean, maintainable code using Java SE, JDK 7, JEE, J2EE. Mentor junior developers. Provide technical guidance and decisions for application requirements. Qualifications 8+ years experience in Java development. 3+ years of JEE experience. Experience with Wildfly 8, JAX RS, CDI (Weld), EJB 3, JPA. Java SE, JDK 7, Java EE, J2EE knowledge. JEE certification is a plus; Sun/Oracle Java certification desirable. Benefits Competitive benefits package with internal promotion and development opportunities. Eligibility Candidates of all ages and backgrounds will be considered for this role. Recruiter Ascent People LTD - Acting as an employment agency for this vacancy. Contact: Amy Haughey Phone: Email:
