hyperexponential is seeking a Staff Platform Engineer to drive the technical direction of its AI-first platform in London. This role involves defining architecture, ensuring security, and leading engineering standards across teams. The ideal candidate will have expertise in technical architecture, team collaboration, and AI integration. Join a forward-thinking team committed to transforming the insurance industry.
26/07/2026
Full time
hyperexponential is seeking a Staff Platform Engineer to drive the technical direction of its AI-first platform in London. This role involves defining architecture, ensuring security, and leading engineering standards across teams. The ideal candidate will have expertise in technical architecture, team collaboration, and AI integration. Join a forward-thinking team committed to transforming the insurance industry.
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
26/07/2026
Full time
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.
26/07/2026
Full time
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
26/07/2026
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Job Description: We are looking for a Landing Gear System Engineer to join our team in Filton. As an Landing Gear System Engineer, you will be responsible for monitoring in-service occurrences of one or more A/C programs for ATA32 (Landing Gear). You will participate in collaboration with different Airbus safety stakeholders (Airworthiness, Design Office, Customer Support, Chief Engineering) in the following activities: Review and severity identification of in-service events in the fleet; Root cause analysis and incident monitoring; Manage any unsafe condition related to landing gear systems occurring in the fleet; Present results during reviews in front of authorities or in front of Airbus internal managers; Analysis and monitoring of the implementation of proposed corrective actions; You will be responsible for the progress of activities and compliance with delivery milestones. You will also have to communicate the progress of activities to your Project Manager. Are you THE one? Experience required: University degree in Engineering; At least 5 years experience in Aeronautical or Aerospace Engineering, ideally in the field of Safety and Continued Airworthiness engineering; Experience of Safety processes, regulations and guidelines (ARP 5150 (Safety Assessment of Commercial Airplanes), Part-21A.3, Part-M (Continuing Airworthiness Requirements), CS 25.1309); Good knowledge of Aircraft Systems, in particular, Landing Gear and Hydraulic Systems; Experience in the Landing Gear perimeter; Track record of leading complex projects involving multiple stakeholders and staff members, with delivery to Time, Cost and Quality; This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success. We need someone who has/is: Strong ability lead and manage a project team (i.e Work Package management); Team player, keen to share their knowledge and work collaboratively within a fairly small team; Customer centric and able to build relationships in a matrix environment; You have very good communication and negotiation skills; You are autonomous, curious, proactive, rigorous, with great attention to detail; Fluent in English (verbal and written). What's in it for you Joining Airbus Protect with: A close and caring management A pipeline of innovative projects A community of recognised experts Great career paths and training opportunities Great benefits: 25 days holiday Hybrid working Flexi time Option to purchase holidays Generous pension scheme Eligibility to a Company profit sharing scheme Share options Access to a benefits platform offering car leasing, family health plans, dental plan, shopping discounts and much more AIRBUS PROTECT Airbus PROTECT brings together experts in risk analysis and management in the fields of safety, cybersecurity and sustainability. We deliver expertise to our own group, Airbus, for whom we act as a privileged partner, but also to external clients. With over 1,700 experienced professionals based in France, UK and Germany, we service large-scale contracts with companies such as critical infrastructures (CNI), other industries and public institutions. Our positioning and strategy enable us to meet the highest standards of the market and to meet the challenges of tomorrow as a team Airbus Protect is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Protect Limited Contract Type: Permanent Experience Level: Professional Job Family: Qualification & Operability By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
26/07/2026
Full time
Job Description: We are looking for a Landing Gear System Engineer to join our team in Filton. As an Landing Gear System Engineer, you will be responsible for monitoring in-service occurrences of one or more A/C programs for ATA32 (Landing Gear). You will participate in collaboration with different Airbus safety stakeholders (Airworthiness, Design Office, Customer Support, Chief Engineering) in the following activities: Review and severity identification of in-service events in the fleet; Root cause analysis and incident monitoring; Manage any unsafe condition related to landing gear systems occurring in the fleet; Present results during reviews in front of authorities or in front of Airbus internal managers; Analysis and monitoring of the implementation of proposed corrective actions; You will be responsible for the progress of activities and compliance with delivery milestones. You will also have to communicate the progress of activities to your Project Manager. Are you THE one? Experience required: University degree in Engineering; At least 5 years experience in Aeronautical or Aerospace Engineering, ideally in the field of Safety and Continued Airworthiness engineering; Experience of Safety processes, regulations and guidelines (ARP 5150 (Safety Assessment of Commercial Airplanes), Part-21A.3, Part-M (Continuing Airworthiness Requirements), CS 25.1309); Good knowledge of Aircraft Systems, in particular, Landing Gear and Hydraulic Systems; Experience in the Landing Gear perimeter; Track record of leading complex projects involving multiple stakeholders and staff members, with delivery to Time, Cost and Quality; This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success. We need someone who has/is: Strong ability lead and manage a project team (i.e Work Package management); Team player, keen to share their knowledge and work collaboratively within a fairly small team; Customer centric and able to build relationships in a matrix environment; You have very good communication and negotiation skills; You are autonomous, curious, proactive, rigorous, with great attention to detail; Fluent in English (verbal and written). What's in it for you Joining Airbus Protect with: A close and caring management A pipeline of innovative projects A community of recognised experts Great career paths and training opportunities Great benefits: 25 days holiday Hybrid working Flexi time Option to purchase holidays Generous pension scheme Eligibility to a Company profit sharing scheme Share options Access to a benefits platform offering car leasing, family health plans, dental plan, shopping discounts and much more AIRBUS PROTECT Airbus PROTECT brings together experts in risk analysis and management in the fields of safety, cybersecurity and sustainability. We deliver expertise to our own group, Airbus, for whom we act as a privileged partner, but also to external clients. With over 1,700 experienced professionals based in France, UK and Germany, we service large-scale contracts with companies such as critical infrastructures (CNI), other industries and public institutions. Our positioning and strategy enable us to meet the highest standards of the market and to meet the challenges of tomorrow as a team Airbus Protect is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Protect Limited Contract Type: Permanent Experience Level: Professional Job Family: Qualification & Operability By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
Job Description: We are looking for a Landing Gear System Engineer to join our team in Filton. As an Landing Gear System Engineer, you will be responsible for monitoring in-service occurrences of one or more A/C programs for ATA32 (Landing Gear). You will participate in collaboration with different Airbus safety stakeholders (Airworthiness, Design Office, Customer Support, Chief Engineering) in the following activities: Review and severity identification of in-service events in the fleet; Root cause analysis and incident monitoring; Manage any unsafe condition related to landing gear systems occurring in the fleet; Present results during reviews in front of authorities or in front of Airbus internal managers; Analysis and monitoring of the implementation of proposed corrective actions; You will be responsible for the progress of activities and compliance with delivery milestones. You will also have to communicate the progress of activities to your Project Manager. Are you THE one? Experience required: University degree in Engineering; At least 5 years experience in Aeronautical or Aerospace Engineering, ideally in the field of Safety and Continued Airworthiness engineering; Experience of Safety processes, regulations and guidelines (ARP 5150 (Safety Assessment of Commercial Airplanes), Part-21A.3, Part-M (Continuing Airworthiness Requirements), CS 25.1309); Good knowledge of Aircraft Systems, in particular, Landing Gear and Hydraulic Systems; Experience in the Landing Gear perimeter; Track record of leading complex projects involving multiple stakeholders and staff members, with delivery to Time, Cost and Quality; This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success. We need someone who has/is: Strong ability lead and manage a project team (i.e Work Package management); Team player, keen to share their knowledge and work collaboratively within a fairly small team; Customer centric and able to build relationships in a matrix environment; You have very good communication and negotiation skills; You are autonomous, curious, proactive, rigorous, with great attention to detail; Fluent in English (verbal and written). What's in it for you Joining Airbus Protect with: A close and caring management A pipeline of innovative projects A community of recognised experts Great career paths and training opportunities Great benefits: 25 days holiday Hybrid working Flexi time Option to purchase holidays Generous pension scheme Eligibility to a Company profit sharing scheme Share options Access to a benefits platform offering car leasing, family health plans, dental plan, shopping discounts and much more AIRBUS PROTECT Airbus PROTECT brings together experts in risk analysis and management in the fields of safety, cybersecurity and sustainability. We deliver expertise to our own group, Airbus, for whom we act as a privileged partner, but also to external clients. With over 1,700 experienced professionals based in France, UK and Germany, we service large-scale contracts with companies such as critical infrastructures (CNI), other industries and public institutions. Our positioning and strategy enable us to meet the highest standards of the market and to meet the challenges of tomorrow as a team Airbus Protect is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Protect Limited Contract Type: Permanent Experience Level: Professional Job Family: Qualification & Operability By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
26/07/2026
Full time
Job Description: We are looking for a Landing Gear System Engineer to join our team in Filton. As an Landing Gear System Engineer, you will be responsible for monitoring in-service occurrences of one or more A/C programs for ATA32 (Landing Gear). You will participate in collaboration with different Airbus safety stakeholders (Airworthiness, Design Office, Customer Support, Chief Engineering) in the following activities: Review and severity identification of in-service events in the fleet; Root cause analysis and incident monitoring; Manage any unsafe condition related to landing gear systems occurring in the fleet; Present results during reviews in front of authorities or in front of Airbus internal managers; Analysis and monitoring of the implementation of proposed corrective actions; You will be responsible for the progress of activities and compliance with delivery milestones. You will also have to communicate the progress of activities to your Project Manager. Are you THE one? Experience required: University degree in Engineering; At least 5 years experience in Aeronautical or Aerospace Engineering, ideally in the field of Safety and Continued Airworthiness engineering; Experience of Safety processes, regulations and guidelines (ARP 5150 (Safety Assessment of Commercial Airplanes), Part-21A.3, Part-M (Continuing Airworthiness Requirements), CS 25.1309); Good knowledge of Aircraft Systems, in particular, Landing Gear and Hydraulic Systems; Experience in the Landing Gear perimeter; Track record of leading complex projects involving multiple stakeholders and staff members, with delivery to Time, Cost and Quality; This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success. We need someone who has/is: Strong ability lead and manage a project team (i.e Work Package management); Team player, keen to share their knowledge and work collaboratively within a fairly small team; Customer centric and able to build relationships in a matrix environment; You have very good communication and negotiation skills; You are autonomous, curious, proactive, rigorous, with great attention to detail; Fluent in English (verbal and written). What's in it for you Joining Airbus Protect with: A close and caring management A pipeline of innovative projects A community of recognised experts Great career paths and training opportunities Great benefits: 25 days holiday Hybrid working Flexi time Option to purchase holidays Generous pension scheme Eligibility to a Company profit sharing scheme Share options Access to a benefits platform offering car leasing, family health plans, dental plan, shopping discounts and much more AIRBUS PROTECT Airbus PROTECT brings together experts in risk analysis and management in the fields of safety, cybersecurity and sustainability. We deliver expertise to our own group, Airbus, for whom we act as a privileged partner, but also to external clients. With over 1,700 experienced professionals based in France, UK and Germany, we service large-scale contracts with companies such as critical infrastructures (CNI), other industries and public institutions. Our positioning and strategy enable us to meet the highest standards of the market and to meet the challenges of tomorrow as a team Airbus Protect is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Protect Limited Contract Type: Permanent Experience Level: Professional Job Family: Qualification & Operability By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
About the job As a member of the AI model team, you will drive innovation in architecture development for cutting edge models of various scales, including small, large, and multi modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi Modal architectures, a strong grasp of pre training optimization, and a hands on, research driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre training bottlenecks to push the limits of cross modal AI performance. Responsibilities Large Scale Pre Training: Conduct foundational pre training for LLMs and Multi Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi nodes and thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross modal alignment layers to enhance model intelligence and multi modal understanding. Data Strategy: Source, filter, and curate massive scale textual and multi modal datasets, establishing robust data pipelines for efficient pre training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. Qualifications A degree in Computer Science or related field. Ideally a PhD in NLP, Machine Learning, or a related field, with a solid track record in AI R&D and publications in A conferences. Hands on experience contributing to large scale LLM or Multi Modal pre training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large scale, distributed training frameworks, libraries, and tools. Deep knowledge of state of the art transformer and non transformer modifications aimed at enhancing intelligence, efficiency, and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pre training, and deployment.
26/07/2026
Full time
About the job As a member of the AI model team, you will drive innovation in architecture development for cutting edge models of various scales, including small, large, and multi modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi Modal architectures, a strong grasp of pre training optimization, and a hands on, research driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre training bottlenecks to push the limits of cross modal AI performance. Responsibilities Large Scale Pre Training: Conduct foundational pre training for LLMs and Multi Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi nodes and thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross modal alignment layers to enhance model intelligence and multi modal understanding. Data Strategy: Source, filter, and curate massive scale textual and multi modal datasets, establishing robust data pipelines for efficient pre training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. Qualifications A degree in Computer Science or related field. Ideally a PhD in NLP, Machine Learning, or a related field, with a solid track record in AI R&D and publications in A conferences. Hands on experience contributing to large scale LLM or Multi Modal pre training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large scale, distributed training frameworks, libraries, and tools. Deep knowledge of state of the art transformer and non transformer modifications aimed at enhancing intelligence, efficiency, and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pre training, and deployment.
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
26/07/2026
Full time
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
26/07/2026
Full time
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
26/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Job ID: 36123 Job location: London, GB IT Manager, enterprise infrastructure services & cloud Why we need this role The Manager IT Infrastructure (M365, Azure, GCP, Windows & VDI) is responsible for the end-to-end delivery, operation, and performance of critical enterprise platforms, including Microsoft 365, Azure, GCP, Windows Server, VDI, and Citrix services. The role leads a team of approximately 15 engineers, ensuring the secure, stable, and efficient operation of business-critical services, while delivering roadmap initiatives, platform improvements, and automation outcomes aligned to architecture and strategy. Working closely with Architecture, Security, Development, and wider Operations teams, the role ensures solutions are delivered, integrated, and operated at scale, with a strong focus on service reliability, security, cost efficiency, and user experience. The role embeds operational excellence, resilience, automation, and governance, driving standardisation and continuous improvement across cloud, workplace, and identity platforms. Through strong leadership and execution, it reduces risk, complexity, and operational overhead, while improving service performance, stability, and cost control. What you will do Microsoft 365 Platforms: Ownership of collaboration and productivity services (Teams, Exchange, SharePoint, OneDrive, Intune), including service performance, governance, security, lifecycle, and user experience. Azure & GCP Cloud: Operational management of cloud platforms including landing zones, subscriptions/projects, connectivity, platform services, and governance controls. Windows & End User Platforms: Management of Windows Server and end-user compute platforms, including build, patching, configuration, and lifecycle. VDI & Citrix: Delivery and operation of virtual desktop environments, ensuring performance, availability, and user experience. Identity & Access: Operational ownership of Active Directory and Entra ID, including authentication, Conditional Access, privileged access, and directory services. Cloud Security & Compliance: Enforcement of secure configurations, monitoring, logging, and policy controls across all platforms. Standardisation, Automation & Tooling: Leads delivery of standardisation, automation, tooling, and operational consistency across cloud and workplace platforms. Key Accountabilities Service Delivery, Engineering & Operations Lead the build, delivery, and operation of critical infrastructure services across M365, cloud, Windows, and VDI. Ensure platforms meet availability, performance, and service level expectations. Act as senior escalation point for major incidents and service issues. Security, Resilience & Service Stability Ensure secure-by-design and operational security controls are implemented and maintained. Own resilience, recoverability, monitoring, and service continuity across platforms. Roadmap Delivery & Continuous Improvement Deliver platform roadmaps and improvement initiatives in line with architectural direction. Drive continuous improvement in automation, efficiency, and service quality. Team Leadership & Capability Development Lead and develop a high-performing engineering team (FTE & contingent). Build capability across cloud, workplace, and identity domains. Ensure effective workload management, prioritisation, and delivery. Cross-Domain Collaboration & Integration Work with Architecture, Security, Development, and Operations teams to deliver integrated services. Ensure solutions are fully transitioned, supported, and operationally sustainable. Vendor & Service Management Ensure service performance, delivery quality, and issue resolution. Operational Governance, Cost & Optimisation Ensure services are aligned to standards and governed through full lifecycle. Manage operational cost, capacity, and efficiency. Drive automation, standardisation, and reduction of technical debt and complexity. Additional Focus Areas Ownership & Accountability: Owns service outcomes across availability, security, and cost. Leadership & Team Development: Builds, leads, and develops high-performing teams. Execution & Delivery: Drives consistent, high-quality service and platform delivery. Collaboration & Influence: Works effectively across domains and stakeholders. Adaptability & Improvement: Responds to operational challenges while driving automation and optimisation. What we're looking for Extensive experience leading infrastructure engineering and operations teams in enterprise environments. Strong expertise across Microsoft 365 and workplace services, Azure and GCP cloud operations, Windows Server, VDI/Citrix, and identity (Active Directory, Entra), with robust knowledge of security, resilience, operational controls, and automation tooling. Proven ability to manage business-critical services at scale. Strong stakeholder, vendor, and team leadership capability. Excellent operational, analytical, and decision-making skills. Ownership & Accountability: Takes responsibility for delivering outcomes and driving technical excellence. Leadership & Influence: Ability to inspire, motivate, and guide team members toward achieving goals. Communication: Clear and concise verbal and written communication skills for technical and non-technical audiences. Problem Solving: Strong analytical skills to troubleshoot complex issues and implement effective solutions. Collaboration: Skilled at building relationships and working effectively across teams and stakeholders. Adaptability: Comfortable managing priorities in a fast-paced, evolving environment. Continuous Improvement Mindset: Proactive in identifying opportunities for process and technology enhancements. Qualifications Bachelor's degree in Computer Science, Information Technology, or equivalent experience. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect, Citrix Certified Expert, VMware VCP, Google Cloud Professional Architect) preferred. Diversity and Inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture. We welcome people with diverse backgrounds and experiences, regardless of gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Recent Initiatives Signed the UN Women Empowerment Principles which guide our Gender Action Plan. Trained 60+ employees to be Mental Health First Aiders. Provide adjustments to our recruitment process to support candidates as required. Benefits Flexible working hours and the option to work from home. Extensive induction programme with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Programme. Internal inclusion & diversity employee networks.
26/07/2026
Full time
Job ID: 36123 Job location: London, GB IT Manager, enterprise infrastructure services & cloud Why we need this role The Manager IT Infrastructure (M365, Azure, GCP, Windows & VDI) is responsible for the end-to-end delivery, operation, and performance of critical enterprise platforms, including Microsoft 365, Azure, GCP, Windows Server, VDI, and Citrix services. The role leads a team of approximately 15 engineers, ensuring the secure, stable, and efficient operation of business-critical services, while delivering roadmap initiatives, platform improvements, and automation outcomes aligned to architecture and strategy. Working closely with Architecture, Security, Development, and wider Operations teams, the role ensures solutions are delivered, integrated, and operated at scale, with a strong focus on service reliability, security, cost efficiency, and user experience. The role embeds operational excellence, resilience, automation, and governance, driving standardisation and continuous improvement across cloud, workplace, and identity platforms. Through strong leadership and execution, it reduces risk, complexity, and operational overhead, while improving service performance, stability, and cost control. What you will do Microsoft 365 Platforms: Ownership of collaboration and productivity services (Teams, Exchange, SharePoint, OneDrive, Intune), including service performance, governance, security, lifecycle, and user experience. Azure & GCP Cloud: Operational management of cloud platforms including landing zones, subscriptions/projects, connectivity, platform services, and governance controls. Windows & End User Platforms: Management of Windows Server and end-user compute platforms, including build, patching, configuration, and lifecycle. VDI & Citrix: Delivery and operation of virtual desktop environments, ensuring performance, availability, and user experience. Identity & Access: Operational ownership of Active Directory and Entra ID, including authentication, Conditional Access, privileged access, and directory services. Cloud Security & Compliance: Enforcement of secure configurations, monitoring, logging, and policy controls across all platforms. Standardisation, Automation & Tooling: Leads delivery of standardisation, automation, tooling, and operational consistency across cloud and workplace platforms. Key Accountabilities Service Delivery, Engineering & Operations Lead the build, delivery, and operation of critical infrastructure services across M365, cloud, Windows, and VDI. Ensure platforms meet availability, performance, and service level expectations. Act as senior escalation point for major incidents and service issues. Security, Resilience & Service Stability Ensure secure-by-design and operational security controls are implemented and maintained. Own resilience, recoverability, monitoring, and service continuity across platforms. Roadmap Delivery & Continuous Improvement Deliver platform roadmaps and improvement initiatives in line with architectural direction. Drive continuous improvement in automation, efficiency, and service quality. Team Leadership & Capability Development Lead and develop a high-performing engineering team (FTE & contingent). Build capability across cloud, workplace, and identity domains. Ensure effective workload management, prioritisation, and delivery. Cross-Domain Collaboration & Integration Work with Architecture, Security, Development, and Operations teams to deliver integrated services. Ensure solutions are fully transitioned, supported, and operationally sustainable. Vendor & Service Management Ensure service performance, delivery quality, and issue resolution. Operational Governance, Cost & Optimisation Ensure services are aligned to standards and governed through full lifecycle. Manage operational cost, capacity, and efficiency. Drive automation, standardisation, and reduction of technical debt and complexity. Additional Focus Areas Ownership & Accountability: Owns service outcomes across availability, security, and cost. Leadership & Team Development: Builds, leads, and develops high-performing teams. Execution & Delivery: Drives consistent, high-quality service and platform delivery. Collaboration & Influence: Works effectively across domains and stakeholders. Adaptability & Improvement: Responds to operational challenges while driving automation and optimisation. What we're looking for Extensive experience leading infrastructure engineering and operations teams in enterprise environments. Strong expertise across Microsoft 365 and workplace services, Azure and GCP cloud operations, Windows Server, VDI/Citrix, and identity (Active Directory, Entra), with robust knowledge of security, resilience, operational controls, and automation tooling. Proven ability to manage business-critical services at scale. Strong stakeholder, vendor, and team leadership capability. Excellent operational, analytical, and decision-making skills. Ownership & Accountability: Takes responsibility for delivering outcomes and driving technical excellence. Leadership & Influence: Ability to inspire, motivate, and guide team members toward achieving goals. Communication: Clear and concise verbal and written communication skills for technical and non-technical audiences. Problem Solving: Strong analytical skills to troubleshoot complex issues and implement effective solutions. Collaboration: Skilled at building relationships and working effectively across teams and stakeholders. Adaptability: Comfortable managing priorities in a fast-paced, evolving environment. Continuous Improvement Mindset: Proactive in identifying opportunities for process and technology enhancements. Qualifications Bachelor's degree in Computer Science, Information Technology, or equivalent experience. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect, Citrix Certified Expert, VMware VCP, Google Cloud Professional Architect) preferred. Diversity and Inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture. We welcome people with diverse backgrounds and experiences, regardless of gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Recent Initiatives Signed the UN Women Empowerment Principles which guide our Gender Action Plan. Trained 60+ employees to be Mental Health First Aiders. Provide adjustments to our recruitment process to support candidates as required. Benefits Flexible working hours and the option to work from home. Extensive induction programme with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Programme. Internal inclusion & diversity employee networks.
Overview In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple's global office networks. You will enable world class, 99.9% uptime network and internet access, and support Ripple's accelerated growth through new office network design and commissioning. We want a high impact individual contributor who defines Ripple's standard for global connectivity, and approaches networking from a lens of continuous improvement and an end user experience first mentality. This position blends high level planning with practical senior engineering to support a workforce spread around the world. Key Responsibilities Architectural Leadership: Define and maintain Ripple Office networking standards, promoting continuous improvement, agile scalability, and a world class end user experience. Act as the final technical point of contact for resolving any critical issues in the global network infrastructure. NetDevOps and Automation: Grow the next generation of network operations at Ripple by developing best practice utilization of automation, version control, and continuous integration/continuous deployment (CI/CD). Replace manual copy paste configurations with cloud managed deployment, reconciliation, and validation tooling. Security and Zero Trust: Collaborate with Information Security and other cross functional teams to drive the next generation of network security at Ripple, implementing Zero Trust Network Access (ZTNA). Develop a security and compliance posture that is world class, balancing user experience. Infrastructure Life Cycle: Manage multi million dollar global hardware through a full lifecycle of design, deployment, maintenance, and upgrades. Reliability Engineering: Own Ripple's 99.9% Network availability SLA. Develop changes to architecture needed to robustly meet this SLA, and build advanced observability to accurately measure adherence. Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross functional projects to meet international deliverables. Required Technical Expertise Expert level understanding of Arista EOS (CloudVision) and Aruba Central. Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent). Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass. Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability. Senior level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density. Proficiency in NetDevOps tooling such as Python, Ansible. Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high availability, multi site environment. Proficiency with SNMP based alerting and logging platforms (Auvix, Logicmonitor, etc). Expert knowledge of core protocols and standards such as BGP, BFD, STP, and 802.11ax/be wireless standards. Experience with network modernization practices like SD WAN and ZTNA. Experience with new office network design and installation. Benefits Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits covering physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy-work with your manager to take time off when you need it Industry leading parental leave policies and family planning benefits Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
26/07/2026
Full time
Overview In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple's global office networks. You will enable world class, 99.9% uptime network and internet access, and support Ripple's accelerated growth through new office network design and commissioning. We want a high impact individual contributor who defines Ripple's standard for global connectivity, and approaches networking from a lens of continuous improvement and an end user experience first mentality. This position blends high level planning with practical senior engineering to support a workforce spread around the world. Key Responsibilities Architectural Leadership: Define and maintain Ripple Office networking standards, promoting continuous improvement, agile scalability, and a world class end user experience. Act as the final technical point of contact for resolving any critical issues in the global network infrastructure. NetDevOps and Automation: Grow the next generation of network operations at Ripple by developing best practice utilization of automation, version control, and continuous integration/continuous deployment (CI/CD). Replace manual copy paste configurations with cloud managed deployment, reconciliation, and validation tooling. Security and Zero Trust: Collaborate with Information Security and other cross functional teams to drive the next generation of network security at Ripple, implementing Zero Trust Network Access (ZTNA). Develop a security and compliance posture that is world class, balancing user experience. Infrastructure Life Cycle: Manage multi million dollar global hardware through a full lifecycle of design, deployment, maintenance, and upgrades. Reliability Engineering: Own Ripple's 99.9% Network availability SLA. Develop changes to architecture needed to robustly meet this SLA, and build advanced observability to accurately measure adherence. Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross functional projects to meet international deliverables. Required Technical Expertise Expert level understanding of Arista EOS (CloudVision) and Aruba Central. Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent). Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass. Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability. Senior level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density. Proficiency in NetDevOps tooling such as Python, Ansible. Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high availability, multi site environment. Proficiency with SNMP based alerting and logging platforms (Auvix, Logicmonitor, etc). Expert knowledge of core protocols and standards such as BGP, BFD, STP, and 802.11ax/be wireless standards. Experience with network modernization practices like SD WAN and ZTNA. Experience with new office network design and installation. Benefits Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits covering physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy-work with your manager to take time off when you need it Industry leading parental leave policies and family planning benefits Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs
26/07/2026
Full time
The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs
As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
26/07/2026
Full time
As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
FUJIFILM Holdings America Corporation
Billingham, Yorkshire
Position Overview Protect identities at global scale. We're hiring a hands on Senior Identity Protection Engineer/Specialist to lead detection, investigation, and response for identity based threats across Microsoft Entra ID/Azure AD, on prem Active Directory, and connected SaaS/IaaS. You'll serve as the enterprise SME/administrator for CrowdStrike Identity Protection, tune high fidelity detections, integrate dark web intelligence, and orchestrate automation that measurably reduces MTTD/MTTR and risk. What you'll do Lead identity threat monitoring and triage Operate and tune CrowdStrike Identity Protection; monitor SIEM/UEBA and identity telemetry for risks like impossible travel, atypical sign ins, MFA fatigue, and session hijacking Validate true/false positives, prioritize by business impact, and escalate per playbooks/SLAs Drive rapid containment and remediation Execute containment actions (disable accounts, revoke sessions/tokens, isolate hosts) Coordinate remediation with IAM/Endpoint/Infrastructure; verify risk reduction to closure Own identity focused incident response Lead IR for credential compromise, privilege escalation, directory persistence, and lateral movement Ensure evidence handling, root cause analysis, post incident reviews, and lessons learned Engineer detections and hunt for threats Build and refine detections and hunts across SIEM/EDR/identity platforms using KQL/SQL/regex/Sigma aligned to MITRE ATT&CK Close visibility gaps, reduce false positives, and expand privileged activity monitoring Strengthen privileged access controls Detect anomalous privileged behavior via SIEM/UEBA and Netskope telemetry Recommend/enforce JIT, break glass patterns, and mover/leaver privilege hygiene with IAM Respond to dark web/credential exposure Integrate sources like CyberInt; assess exposure and targeted campaigns Orchestrate takedowns, forced resets, token revocation, and Conditional Access updates Administer platforms and sustain hygiene Maintain coverage/health for identity monitoring; manage upgrades and changes via CAB Keep operational runbooks, SOPs, and playbooks current Automate and orchestrate at scale Use PowerShell/Python and REST/Graph/CrowdStrike APIs (and SOAR where applicable) to automate enrichment and response, standardize workflows, and improve signal fidelity Shape identity policy and controls Advise on Conditional Access, MFA exceptions, SSO/SCIM patterns, and session controls under the shared responsibility model with IAM Report outcomes and support audits Produce executive ready dashboards and KPIs (identity incident volume, MTTD/MTTR, CA/MFA efficacy, exposure/takedown cycle time) Maintain audit ready evidence and support internal/external audits What you'll bring Bachelor's degree in Cybersecurity, Computer Science, IT, or related field; or equivalent practical experience 8+ years in IT/cybersecurity, including 3-5+ years focused on identity security/operations (Entra ID/Azure AD, on prem AD, MFA, Conditional Access, SSO/SCIM) Hands on enterprise experience administering/operating CrowdStrike Identity Protection Proficiency with SIEM/UEBA (Splunk preferred) and cloud security platforms (e.g., Netskope) for identity telemetry, detection, and investigations Demonstrated experience in identity centric IR, threat hunting, and detection engineering (KQL/SQL/regex/Sigma) Scripting/automation with PowerShell and Python; experience with REST/Graph/CrowdStrike APIs and SOAR Clear communication and documentation skills; comfortable producing executive ready reports and audit evidence Operates effectively within change control/CAB and under pressure during high severity incidents Bonus points Certifications: Microsoft SC 200/SC 300; Okta Certified Administrator/Professional; CISSP, SSCP, Security+; GIAC (GMON, GCIH, GCDA) or equivalent Deep knowledge of identity attack paths and protocols (Kerberos/NTLM), token/session abuse, and persistence techniques (e.g., Golden/Silver Ticket, DCShadow) Experience with JIT/JEA, PAM concepts, and global on call rotations Location, work style, and travel Opportunities in the United States, United Kingdom, and Denmark Onsite or hybrid depending on location and business needs Occasional on call coverage may be required Why you'll love it here Own a mission critical identity defense stack and make measurable impact on MTTD/MTTR and privilege hygiene Solve complex problems from dark web exposure to directory persistence and lateral movement Collaborate with experienced global teams and leading vendors to continuously raise the bar Grow your career in a modern, data driven security operations environment Our programs are designed to focus on maintaining and enhancing all pillars of health with a robust benefitspackage including medical, dental, vision and prescription drug coverage with the option of a Health Savings Account with company contributions. In addition, we offer an industry leading 401(k) savings plan, insurance coverage, employee assistance programs and various wellness incentives. We support life work balance with paid vacation time, sick time, and company holidays. Explore a supportive environment that enriches both your personal and professional growth! EEO Information Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc. ADA Information If you require reasonable accommodation in completing this application, interviewing, completing any pre employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department ().
26/07/2026
Full time
Position Overview Protect identities at global scale. We're hiring a hands on Senior Identity Protection Engineer/Specialist to lead detection, investigation, and response for identity based threats across Microsoft Entra ID/Azure AD, on prem Active Directory, and connected SaaS/IaaS. You'll serve as the enterprise SME/administrator for CrowdStrike Identity Protection, tune high fidelity detections, integrate dark web intelligence, and orchestrate automation that measurably reduces MTTD/MTTR and risk. What you'll do Lead identity threat monitoring and triage Operate and tune CrowdStrike Identity Protection; monitor SIEM/UEBA and identity telemetry for risks like impossible travel, atypical sign ins, MFA fatigue, and session hijacking Validate true/false positives, prioritize by business impact, and escalate per playbooks/SLAs Drive rapid containment and remediation Execute containment actions (disable accounts, revoke sessions/tokens, isolate hosts) Coordinate remediation with IAM/Endpoint/Infrastructure; verify risk reduction to closure Own identity focused incident response Lead IR for credential compromise, privilege escalation, directory persistence, and lateral movement Ensure evidence handling, root cause analysis, post incident reviews, and lessons learned Engineer detections and hunt for threats Build and refine detections and hunts across SIEM/EDR/identity platforms using KQL/SQL/regex/Sigma aligned to MITRE ATT&CK Close visibility gaps, reduce false positives, and expand privileged activity monitoring Strengthen privileged access controls Detect anomalous privileged behavior via SIEM/UEBA and Netskope telemetry Recommend/enforce JIT, break glass patterns, and mover/leaver privilege hygiene with IAM Respond to dark web/credential exposure Integrate sources like CyberInt; assess exposure and targeted campaigns Orchestrate takedowns, forced resets, token revocation, and Conditional Access updates Administer platforms and sustain hygiene Maintain coverage/health for identity monitoring; manage upgrades and changes via CAB Keep operational runbooks, SOPs, and playbooks current Automate and orchestrate at scale Use PowerShell/Python and REST/Graph/CrowdStrike APIs (and SOAR where applicable) to automate enrichment and response, standardize workflows, and improve signal fidelity Shape identity policy and controls Advise on Conditional Access, MFA exceptions, SSO/SCIM patterns, and session controls under the shared responsibility model with IAM Report outcomes and support audits Produce executive ready dashboards and KPIs (identity incident volume, MTTD/MTTR, CA/MFA efficacy, exposure/takedown cycle time) Maintain audit ready evidence and support internal/external audits What you'll bring Bachelor's degree in Cybersecurity, Computer Science, IT, or related field; or equivalent practical experience 8+ years in IT/cybersecurity, including 3-5+ years focused on identity security/operations (Entra ID/Azure AD, on prem AD, MFA, Conditional Access, SSO/SCIM) Hands on enterprise experience administering/operating CrowdStrike Identity Protection Proficiency with SIEM/UEBA (Splunk preferred) and cloud security platforms (e.g., Netskope) for identity telemetry, detection, and investigations Demonstrated experience in identity centric IR, threat hunting, and detection engineering (KQL/SQL/regex/Sigma) Scripting/automation with PowerShell and Python; experience with REST/Graph/CrowdStrike APIs and SOAR Clear communication and documentation skills; comfortable producing executive ready reports and audit evidence Operates effectively within change control/CAB and under pressure during high severity incidents Bonus points Certifications: Microsoft SC 200/SC 300; Okta Certified Administrator/Professional; CISSP, SSCP, Security+; GIAC (GMON, GCIH, GCDA) or equivalent Deep knowledge of identity attack paths and protocols (Kerberos/NTLM), token/session abuse, and persistence techniques (e.g., Golden/Silver Ticket, DCShadow) Experience with JIT/JEA, PAM concepts, and global on call rotations Location, work style, and travel Opportunities in the United States, United Kingdom, and Denmark Onsite or hybrid depending on location and business needs Occasional on call coverage may be required Why you'll love it here Own a mission critical identity defense stack and make measurable impact on MTTD/MTTR and privilege hygiene Solve complex problems from dark web exposure to directory persistence and lateral movement Collaborate with experienced global teams and leading vendors to continuously raise the bar Grow your career in a modern, data driven security operations environment Our programs are designed to focus on maintaining and enhancing all pillars of health with a robust benefitspackage including medical, dental, vision and prescription drug coverage with the option of a Health Savings Account with company contributions. In addition, we offer an industry leading 401(k) savings plan, insurance coverage, employee assistance programs and various wellness incentives. We support life work balance with paid vacation time, sick time, and company holidays. Explore a supportive environment that enriches both your personal and professional growth! EEO Information Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc. ADA Information If you require reasonable accommodation in completing this application, interviewing, completing any pre employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department ().
Huawei Technologies Research and Development (UK) Ltd
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. Core Values staying customer-centric, inspiring dedication, persevering, growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Huawei London Research Centre is looking at for a Native Intelligent System Architecture Expert with experience in native intelligence construction of the HarmonyOS system. We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization. Keep a close eye on industry trends and key technologies in the field of terminal intelligence, and incubate trends and technology roadmaps for software and hard intelligence transformation over 2 3 years. Key Responsibilities Participate in the native intelligence construction of the HarmonyOS system, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of HarmonyOS in the field of AI. Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of HarmonyOS devices. Participate in the construction of intelligent features of HarmonyOS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment. Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Person Specification Required: Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry leading products and formulate years AI native OS plan to promote the landing of AI native OS. Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision making reasoning). Familiar with Huawei's business, have rich experience in technological innovation and technical research projects, deeply observe and analyze the technical competitiveness and solutions of industry leading AI products. Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges. Desired: PhDin computer science, software engineering, communication, electronics, etc., have an in depth understanding of the AI field, large models, etc. Candidates with AI field related TOP conference papers are preferred. AI product landing experience. Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development
26/07/2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. Core Values staying customer-centric, inspiring dedication, persevering, growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Huawei London Research Centre is looking at for a Native Intelligent System Architecture Expert with experience in native intelligence construction of the HarmonyOS system. We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization. Keep a close eye on industry trends and key technologies in the field of terminal intelligence, and incubate trends and technology roadmaps for software and hard intelligence transformation over 2 3 years. Key Responsibilities Participate in the native intelligence construction of the HarmonyOS system, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of HarmonyOS in the field of AI. Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of HarmonyOS devices. Participate in the construction of intelligent features of HarmonyOS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment. Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Person Specification Required: Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry leading products and formulate years AI native OS plan to promote the landing of AI native OS. Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision making reasoning). Familiar with Huawei's business, have rich experience in technological innovation and technical research projects, deeply observe and analyze the technical competitiveness and solutions of industry leading AI products. Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges. Desired: PhDin computer science, software engineering, communication, electronics, etc., have an in depth understanding of the AI field, large models, etc. Candidates with AI field related TOP conference papers are preferred. AI product landing experience. Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development
Mission & Flight Operations Manager At NewOrbit Space, our mission is to engineer the lowest orbiting satellites on Earth to rapidly advance global connectivity and insight. We are currently building satellites that can operate at an altitude of just 200 km - one-third that of conventional satellites. Your Role Establish and own NewOrbit's mission operations capability from the start, defining how our spacecraft are commanded, monitored, and operated from the ground. You will lead the setting up of mission control, define spacecraft-ground and ground-station interfaces, develop real-time flight operations concepts, and support LEOP, commissioning, manoeuvres, nominal operations, and anomaly response alongside Mission Design and Communications. Responsibilities Lead the development of NewOrbit's mission operations concept from an early phase, defining operational workflows, responsibilities, flight rules, procedures, and escalation paths. Act as the responsible engineer for spacecraft operations, ensuring the spacecraft, mission control system, ground stations, and engineering teams are aligned for flight. Define the requirements for NewOrbit's mission control centre, including mission control software, telemetry displays, command interfaces, alerting, logging, operational dashboards, and access control. Support the selection, configuration, and validation of tools required for real-time spacecraft operations. Define and manage the operational interfaces between the spacecraft and ground segment, including telemetry, telecommand, command verification, event reporting, time correlation, file transfer, and mission data routing. Work with Flight Software and subsystem teams to maintain command dictionaries, telemetry databases, packet definitions, limits, and operational constraints. Work with the Communications team to define interfaces with external ground station providers, including pass scheduling, uplink and downlink operations, RF link monitoring, data delivery, and anomaly escalation. Develop operational approaches for short VLEO passes, missed contacts, changing visibility, and rapid orbit updates. Develop the operational concept for LEOP, commissioning, routine operations, orbit lowering, manoeuvre execution, payload operations, safe mode recovery, and end-of-life activities. Prepare pass plans, command sequences, operational timelines, and procedures while accounting for spacecraft subsystem and mission design constraints. Write, validate, and maintain operating procedures, contingency procedures, flight rules, console procedures, and operations documentation. Support end-to-end spacecraft-to-ground testing, mission rehearsals, operational readiness reviews, ground station interface tests, and commissioning preparation. Fundamental Requirements Educational Background: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Computer Science, or a related field. A Master's degree is preferred. Industry Experience: Minimum of 2-5 years of experience in spacecraft operations or as a spacecraft controller or similar. Previous experience as a spacecraft controller during LEOP, commissioning and safe-mode recovery is highly relevant. Technical Expertise: Strong understanding of real-time flight operations, including pass preparation, telemetry monitoring, telecommand execution, command verification, anomaly response, and post-pass analysis. Familiarity with CCSDS telemetry/telecommand standards, ECSS Packet Utilisation Standard, file transfer protocols, and time correlation is highly desirable. Mission Control Software: Experience with mission control system environments such as SCOS-2000, EGS-CC, Yamcs, OpenC3 COSMOS, or similar platforms is desirable. Ability to define operational needs for telemetry displays, command interfaces, alerting, logging, dashboards, and operator workflows. Programming Ability: Proficiency in Python or similar scripting languages for telemetry analysis, automation, reporting, validation, and operational tooling. Familiarity with Linux, Git, databases, APIs, network interfaces, or operational dashboards is desirable. Simulation and Testing: Experience supporting mission rehearsals, operational validation, flight software interface testing, procedure validation, and end-to-end spacecraft-to-ground testing. Ability to help prepare mission control systems, ground station interfaces, operational procedures, and teams for launch and commissioning. Why NewOrbit Space? Pioneering Space Technology - You'll contribute to launching groundbreaking technology into space. Your work on our revolutionary ion propulsion system and ULEO satellite platform will redefine satellite operations and disrupt traditional LEO operations. Unmatched Ownership and Impact - You'll experience a level of ownership that's rare in the space industry. You will participate in the full lifecycle of satellite technology. Equity and Competitive Salary - You'll receive not just a competitive salary but also company ownership stakes. Your dedication and hard work are rewarded with a share in the technology you help build, ensuring you're a part of our collective success. Comprehensive Benefits Package - Including private health insurance with dental and optical coverage, annual healthcare check-ups. Hybrid Work - A hybrid setup with one dedicated remote day per week. Visa Sponsorship & Relocation Support - We provide a relocation package and sponsor your visa if you're joining us from abroad.
26/07/2026
Full time
Mission & Flight Operations Manager At NewOrbit Space, our mission is to engineer the lowest orbiting satellites on Earth to rapidly advance global connectivity and insight. We are currently building satellites that can operate at an altitude of just 200 km - one-third that of conventional satellites. Your Role Establish and own NewOrbit's mission operations capability from the start, defining how our spacecraft are commanded, monitored, and operated from the ground. You will lead the setting up of mission control, define spacecraft-ground and ground-station interfaces, develop real-time flight operations concepts, and support LEOP, commissioning, manoeuvres, nominal operations, and anomaly response alongside Mission Design and Communications. Responsibilities Lead the development of NewOrbit's mission operations concept from an early phase, defining operational workflows, responsibilities, flight rules, procedures, and escalation paths. Act as the responsible engineer for spacecraft operations, ensuring the spacecraft, mission control system, ground stations, and engineering teams are aligned for flight. Define the requirements for NewOrbit's mission control centre, including mission control software, telemetry displays, command interfaces, alerting, logging, operational dashboards, and access control. Support the selection, configuration, and validation of tools required for real-time spacecraft operations. Define and manage the operational interfaces between the spacecraft and ground segment, including telemetry, telecommand, command verification, event reporting, time correlation, file transfer, and mission data routing. Work with Flight Software and subsystem teams to maintain command dictionaries, telemetry databases, packet definitions, limits, and operational constraints. Work with the Communications team to define interfaces with external ground station providers, including pass scheduling, uplink and downlink operations, RF link monitoring, data delivery, and anomaly escalation. Develop operational approaches for short VLEO passes, missed contacts, changing visibility, and rapid orbit updates. Develop the operational concept for LEOP, commissioning, routine operations, orbit lowering, manoeuvre execution, payload operations, safe mode recovery, and end-of-life activities. Prepare pass plans, command sequences, operational timelines, and procedures while accounting for spacecraft subsystem and mission design constraints. Write, validate, and maintain operating procedures, contingency procedures, flight rules, console procedures, and operations documentation. Support end-to-end spacecraft-to-ground testing, mission rehearsals, operational readiness reviews, ground station interface tests, and commissioning preparation. Fundamental Requirements Educational Background: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Computer Science, or a related field. A Master's degree is preferred. Industry Experience: Minimum of 2-5 years of experience in spacecraft operations or as a spacecraft controller or similar. Previous experience as a spacecraft controller during LEOP, commissioning and safe-mode recovery is highly relevant. Technical Expertise: Strong understanding of real-time flight operations, including pass preparation, telemetry monitoring, telecommand execution, command verification, anomaly response, and post-pass analysis. Familiarity with CCSDS telemetry/telecommand standards, ECSS Packet Utilisation Standard, file transfer protocols, and time correlation is highly desirable. Mission Control Software: Experience with mission control system environments such as SCOS-2000, EGS-CC, Yamcs, OpenC3 COSMOS, or similar platforms is desirable. Ability to define operational needs for telemetry displays, command interfaces, alerting, logging, dashboards, and operator workflows. Programming Ability: Proficiency in Python or similar scripting languages for telemetry analysis, automation, reporting, validation, and operational tooling. Familiarity with Linux, Git, databases, APIs, network interfaces, or operational dashboards is desirable. Simulation and Testing: Experience supporting mission rehearsals, operational validation, flight software interface testing, procedure validation, and end-to-end spacecraft-to-ground testing. Ability to help prepare mission control systems, ground station interfaces, operational procedures, and teams for launch and commissioning. Why NewOrbit Space? Pioneering Space Technology - You'll contribute to launching groundbreaking technology into space. Your work on our revolutionary ion propulsion system and ULEO satellite platform will redefine satellite operations and disrupt traditional LEO operations. Unmatched Ownership and Impact - You'll experience a level of ownership that's rare in the space industry. You will participate in the full lifecycle of satellite technology. Equity and Competitive Salary - You'll receive not just a competitive salary but also company ownership stakes. Your dedication and hard work are rewarded with a share in the technology you help build, ensuring you're a part of our collective success. Comprehensive Benefits Package - Including private health insurance with dental and optical coverage, annual healthcare check-ups. Hybrid Work - A hybrid setup with one dedicated remote day per week. Visa Sponsorship & Relocation Support - We provide a relocation package and sponsor your visa if you're joining us from abroad.
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
26/07/2026
Full time
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
Senior/Principal DevOps Engineer Application Deadline: 31 May 2026 Department: Platform Engineering Employment Type: Permanent Location: London (Hybrid) Compensation: £70,000 - £100,000 / year Description Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. This role also requires applicants to be willing to work on-site up to 4 days per week. At Gemba Advantage, we design and run secure, cloud native platforms for critical public sector organisations across the UK. Our teams build and automate the infrastructure and pipelines that high impact systems depend on. We're looking for experienced DevOps Engineers who want to shape modern delivery, lead technical decisions, and work with people who care about doing things properly. You'll help design and evolve cloud environments, improve engineering practices, and solve challenging problems alongside our customers. The Role: Design and deliver robust automation, platforms, and CI/CD pipelines for complex systems Use Infrastructure as Code and cloud native tooling to create secure, scalable environments Lead technical reviews, guide engineering decisions, and support fault fixing and maintenance Mentor engineers, improve ways of working, and champion continuous improvement and security What you'll bring: Active, or recently active, SC or DV clearance (essential) Strong experience with cloud platforms (Like AWS) and production environments Deep hands on experience with IaC tools (Terraform, CloudFormation, CDK) and Kubernetes/Docker Confidence designing and operating secure CI/CD pipelines, using Git and modern DevOps practices Practical experience with databases, APIs, programming/scripting languages, and a range of operating systems Tech we commonly use Terraform - CloudFormation - CDK AWS - Kubernetes - Docker Git - CI/CD - GitOps Elasticsearch - MongoDB - relational DBs Python - Go - Bash Why join Gemba? We're guided by four core values that make Gemba a great place to work: Our people are our most important asset, and we prioritise their needs. We succeed and fail as a team, not as individuals. We do the right thing and we do the thing right. We keep an unwavering focus on the customer's needs. Away from our values, Gemba offers an excellent and comprehensive package to our Gembans, including great salaries, meaningful perks, a culture of truly rewarding and celebrating success, amongst many other core benefits like flexible pensions and PMI. Equal Opportunity At Gemba we celebrate diversity and are committed to creating a diverse and inclusive workplace, therefore we make sure that our recruitment and selection processes never discriminate based upon age, race, religion, disability, sex, sexual orientation, gender reassignment, marriage and civil partnership, or pregnancy, and actively welcome applications from all groups. As an Equal Opportunity Employer, we recognise, and studies confirm, that often underrepresented candidates in the workplace are less likely to apply to roles unless they meet all skills and experience of the position.
26/07/2026
Full time
Senior/Principal DevOps Engineer Application Deadline: 31 May 2026 Department: Platform Engineering Employment Type: Permanent Location: London (Hybrid) Compensation: £70,000 - £100,000 / year Description Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. This role also requires applicants to be willing to work on-site up to 4 days per week. At Gemba Advantage, we design and run secure, cloud native platforms for critical public sector organisations across the UK. Our teams build and automate the infrastructure and pipelines that high impact systems depend on. We're looking for experienced DevOps Engineers who want to shape modern delivery, lead technical decisions, and work with people who care about doing things properly. You'll help design and evolve cloud environments, improve engineering practices, and solve challenging problems alongside our customers. The Role: Design and deliver robust automation, platforms, and CI/CD pipelines for complex systems Use Infrastructure as Code and cloud native tooling to create secure, scalable environments Lead technical reviews, guide engineering decisions, and support fault fixing and maintenance Mentor engineers, improve ways of working, and champion continuous improvement and security What you'll bring: Active, or recently active, SC or DV clearance (essential) Strong experience with cloud platforms (Like AWS) and production environments Deep hands on experience with IaC tools (Terraform, CloudFormation, CDK) and Kubernetes/Docker Confidence designing and operating secure CI/CD pipelines, using Git and modern DevOps practices Practical experience with databases, APIs, programming/scripting languages, and a range of operating systems Tech we commonly use Terraform - CloudFormation - CDK AWS - Kubernetes - Docker Git - CI/CD - GitOps Elasticsearch - MongoDB - relational DBs Python - Go - Bash Why join Gemba? We're guided by four core values that make Gemba a great place to work: Our people are our most important asset, and we prioritise their needs. We succeed and fail as a team, not as individuals. We do the right thing and we do the thing right. We keep an unwavering focus on the customer's needs. Away from our values, Gemba offers an excellent and comprehensive package to our Gembans, including great salaries, meaningful perks, a culture of truly rewarding and celebrating success, amongst many other core benefits like flexible pensions and PMI. Equal Opportunity At Gemba we celebrate diversity and are committed to creating a diverse and inclusive workplace, therefore we make sure that our recruitment and selection processes never discriminate based upon age, race, religion, disability, sex, sexual orientation, gender reassignment, marriage and civil partnership, or pregnancy, and actively welcome applications from all groups. As an Equal Opportunity Employer, we recognise, and studies confirm, that often underrepresented candidates in the workplace are less likely to apply to roles unless they meet all skills and experience of the position.
We are looking for a Product Security Architect to help ensure security is properly built into our products, our engineering decisions, our product priorities and the way our products are deployed for customers. This is a senior individual contributor role sitting at the intersection of product security, application security and secure delivery. As a Product Security Architect you will work closely with product, development, network & infrastructure and customer-facing teams to improve the security of what we build, how we build it, and how it is securely implemented in client environments. The role is focused primarily on influencing product and development decisions, backed by enough technical depth to review designs and code intelligently, assess risk pragmatically, and help drive secure development practices across the business. The role of Product Security Architect is primarily based from our Bristol office, but you must be willing to travel to our offices in Cardiff and Bath on occasion, with good flexibility for Hybrid working. Responsibilities Act as a senior security voice across the product and development teams, ensuring security is properly represented in roadmap, backlog and design decisions. Work with colleagues across product, development, and networks & infrastructure to embed security across the product lifecycle. Carry out threat modelling, secure design reviews and technical risk assessments for new and existing product capabilities. Assign pragmatic risk levels and support sensible prioritisation of remediation alongside feature delivery and other technical work. Help improve secure software development and delivery practices, including CI/CD and related controls. Support vulnerability remediation, including root cause analysis and long-term fixes. Contribute to security standards, metrics and ways of working that improve product security maturity over time. Provide security leadership and architectural guidance for the secure implementation and operation of SRT products in customer environments, including defining the principles, patterns and guidance that customer-facing and implementation teams should follow. Work with internal stakeholders to ensure engineering reality supports the security claims we make to customers, partners and auditors. Contribute to wider assurance and certification activity, including ISO 27001 or other relevant standards. Requirements Strong experience in product security, application security, secure software engineering, security architecture or a similar role in a software led environment. Good understanding of how product and development teams operate, including how security considerations are balanced alongside product delivery. Strong experience of threat modelling, secure design review, vulnerability assessment and remediation prioritisation. The judgement to assess exploitability and business impact pragmatically. Practical experience applying security across the software development lifecycle, including areas such as threat modelling, secure coding, testing, vulnerability management and secure delivery. Ability to influence product, development and cross functional stakeholders without direct authority. Strong communication skills, with the ability to turn technical security concerns into clear, actionable decisions. Familiarity with recognised frameworks or certifications such as ISO 27001, NIST CSF or similar would be helpful. Experience in a product, platform or SaaS business. Experience in high trust, regulated or mission critical environments would be valuable. Benefits Highly Competitive Salary and benefits package 25 days annual leave rising to 28 days with service Real individual development opportunities SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.
26/07/2026
Full time
We are looking for a Product Security Architect to help ensure security is properly built into our products, our engineering decisions, our product priorities and the way our products are deployed for customers. This is a senior individual contributor role sitting at the intersection of product security, application security and secure delivery. As a Product Security Architect you will work closely with product, development, network & infrastructure and customer-facing teams to improve the security of what we build, how we build it, and how it is securely implemented in client environments. The role is focused primarily on influencing product and development decisions, backed by enough technical depth to review designs and code intelligently, assess risk pragmatically, and help drive secure development practices across the business. The role of Product Security Architect is primarily based from our Bristol office, but you must be willing to travel to our offices in Cardiff and Bath on occasion, with good flexibility for Hybrid working. Responsibilities Act as a senior security voice across the product and development teams, ensuring security is properly represented in roadmap, backlog and design decisions. Work with colleagues across product, development, and networks & infrastructure to embed security across the product lifecycle. Carry out threat modelling, secure design reviews and technical risk assessments for new and existing product capabilities. Assign pragmatic risk levels and support sensible prioritisation of remediation alongside feature delivery and other technical work. Help improve secure software development and delivery practices, including CI/CD and related controls. Support vulnerability remediation, including root cause analysis and long-term fixes. Contribute to security standards, metrics and ways of working that improve product security maturity over time. Provide security leadership and architectural guidance for the secure implementation and operation of SRT products in customer environments, including defining the principles, patterns and guidance that customer-facing and implementation teams should follow. Work with internal stakeholders to ensure engineering reality supports the security claims we make to customers, partners and auditors. Contribute to wider assurance and certification activity, including ISO 27001 or other relevant standards. Requirements Strong experience in product security, application security, secure software engineering, security architecture or a similar role in a software led environment. Good understanding of how product and development teams operate, including how security considerations are balanced alongside product delivery. Strong experience of threat modelling, secure design review, vulnerability assessment and remediation prioritisation. The judgement to assess exploitability and business impact pragmatically. Practical experience applying security across the software development lifecycle, including areas such as threat modelling, secure coding, testing, vulnerability management and secure delivery. Ability to influence product, development and cross functional stakeholders without direct authority. Strong communication skills, with the ability to turn technical security concerns into clear, actionable decisions. Familiarity with recognised frameworks or certifications such as ISO 27001, NIST CSF or similar would be helpful. Experience in a product, platform or SaaS business. Experience in high trust, regulated or mission critical environments would be valuable. Benefits Highly Competitive Salary and benefits package 25 days annual leave rising to 28 days with service Real individual development opportunities SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.
