Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Responsibilities We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale - executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical. As a Software Engineer in Realtime Quant Frameworks, you'll play a key role in helping our quant researchers move faster across our large-scale compute estate - building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently. A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs - the main interface our quants use day-to-day. You'll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress. Beyond that, you'll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data - creating flexible, high-performance systems that go well beyond the quant finance domain. Qualifications An extensive background in software engineering, ideally in distributed or high-performance systems. Experience with F#, C#, Python or similar languages in production environments. Experience working with Python in research or data-driven workflows. Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases. Strong problem-solving skills and ability to work closely with quantitative researchers. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 35 days annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle-to-work scheme. Monthly company events. Diversity & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
26/07/2026
Full time
Overview We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. Responsibilities We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale - executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical. As a Software Engineer in Realtime Quant Frameworks, you'll play a key role in helping our quant researchers move faster across our large-scale compute estate - building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently. A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs - the main interface our quants use day-to-day. You'll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress. Beyond that, you'll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data - creating flexible, high-performance systems that go well beyond the quant finance domain. Qualifications An extensive background in software engineering, ideally in distributed or high-performance systems. Experience with F#, C#, Python or similar languages in production environments. Experience working with Python in research or data-driven workflows. Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases. Strong problem-solving skills and ability to work closely with quantitative researchers. Benefits Highly competitive compensation plus annual discretionary bonus. Lunch provided (via Just Eat for Business) and dedicated barista bar. 35 days annual leave. 9% company pension contributions. Informal dress code and excellent work/life balance. Comprehensive healthcare and life assurance. Cycle-to-work scheme. Monthly company events. Diversity & Inclusion G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
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.
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 Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable and high-performing data products that underpin data-driven decision-making across British Airways. What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintain and operate data products, ensuring availability, performance and resilience through monitoring and incident management Provide assurance on code quality and automation used to manage data flows Lead service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Set and embed standards for data processing documentation and version control Support and coach engineers on engineering patterns, coding standards and automated testing Lead agile ceremonies, delivery planning and retrospectives to support continuous improvement Define and improve developer experience by working with data product teams to resolve data processing issues Line manage Senior Data Engineers and support their development Participate in an on-call rota to support live data products What you'll bring to British Airways: Strong hands-on technical leadership in data engineering Deep understanding of cloud-based data ingestion, processing and storage techniques Expert knowledge of data processing, testing and monitoring practices Strong understanding of enterprise data management, optimisation and security at scale Confidence influencing technical direction and engineering standards Strong stakeholder engagement skills across business and technical teams Ability to break down complex problems and work effectively in ambiguous environments Delivery-focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing, testing, and monitoring practices and frameworks. Experience supporting production data systems and resolving operational issues in CI/CD processes and agile development workflows. Expert in information security principles and access control within data environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable. 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 Engineer You'll be part of either our Data & AI Delivery team or the Commercial data team, acting as a technical leader for data engineering across the organisation. These teams play a critical role in enabling secure, scalable and high-performing data products that underpin data-driven decision-making across British Airways. What you'll do: Act as a technical leader for data engineering best practice across delivery teams Lead the design, build, test and deployment of secure and scalable data pipelines Maintain and operate data products, ensuring availability, performance and resilience through monitoring and incident management Provide assurance on code quality and automation used to manage data flows Lead service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Set and embed standards for data processing documentation and version control Support and coach engineers on engineering patterns, coding standards and automated testing Lead agile ceremonies, delivery planning and retrospectives to support continuous improvement Define and improve developer experience by working with data product teams to resolve data processing issues Line manage Senior Data Engineers and support their development Participate in an on-call rota to support live data products What you'll bring to British Airways: Strong hands-on technical leadership in data engineering Deep understanding of cloud-based data ingestion, processing and storage techniques Expert knowledge of data processing, testing and monitoring practices Strong understanding of enterprise data management, optimisation and security at scale Confidence influencing technical direction and engineering standards Strong stakeholder engagement skills across business and technical teams Ability to break down complex problems and work effectively in ambiguous environments Delivery-focused, accountable and pragmatic mindset Collaborative approach with a focus on capability building and knowledge sharing Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing, testing, and monitoring practices and frameworks. Experience supporting production data systems and resolving operational issues in CI/CD processes and agile development workflows. Expert in information security principles and access control within data environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable. 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.
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
26/07/2026
Full time
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role G-Research is a fast growing, software driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. Key responsibilities of the role include: Building, operating and scaling distributed database services across on premises and AWS environments Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform Driving improvements in performance tuning, query optimisation, indexing strategies and storage design Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements Participating in the out-of-hours rota to provide support for critical systems Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence Proactively identifying and resolving stability, security and capacity issues across the platform Qualifications and experience Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning Hands on experience running databases at scale Proficiency with Linux and Python for automation Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar Experience deploying and running services in containerised or Kubernetes environments Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel Desirable: experience with cloud native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
26/07/2026
Full time
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role G-Research is a fast growing, software driven organisation where data is at the heart of everything we do. We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission critical database platforms that underpin research, a global platform and business operations. This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on premises infrastructure and the cloud (AWS). The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. Key responsibilities of the role include: Building, operating and scaling distributed database services across on premises and AWS environments Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform Driving improvements in performance tuning, query optimisation, indexing strategies and storage design Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements Participating in the out-of-hours rota to provide support for critical systems Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence Proactively identifying and resolving stability, security and capacity issues across the platform Qualifications and experience Strong experience with relational database platforms such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning Hands on experience running databases at scale Proficiency with Linux and Python for automation Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar Experience deploying and running services in containerised or Kubernetes environments Understanding of AWS services relevant to data platforms such as RDS, Aurora, S3, EC2 or EKS Familiarity with modern observability stacks such as Prometheus, Grafana, Elk or OTel Desirable: experience with cloud native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section. At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.
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.
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
Developer - 12 Months - Outside IR35 - Remote Day Rate - Circa £455 Harvey Nash's public sector client are currently looking to recruit a Developer to join their team based in Edinburgh for an initial 12 month period. This role is predominantly remote, with the expectation you are willing to travel to the office when required. Assignment Description: An experienced developer with solid commercial AWS development experience is required to accelerate the organisation's move away from their legacy finance systems. The focus of the work will be the collaborative development of new serverless microservices using AWS Lambda functions and Typescript/JavaScript. Essential Skills: Significant commercial experience in AWS technologies (CDK, Serverless Lambda, S3, API Gateway, CloudFormation) and Typescript or modern JavaScript. Significant and demonstrable commercial experience in collaborating on high-quality software with other developers and stakeholders. Experience delivering value through understanding business context and focusing on outcomes. Design and implementation of solutions using a service-based, serverless architecture. Excellent collaboration, communication, and teamwork skills. Experience working in Agile delivery models such as Scrum and/or Kanban. Developing within GDS or Digital First (or similar) quality standards. Experience with cloud monitoring, telemetry, intelligence tools and processes. Formal XP engineering techniques, including pair programming and test-driven development. Defining infrastructure-as-code. Desirable Skills: Human-centred, research-driven, inclusive design practices. Testing tools and frameworks, e.g. Cypress. Use of UI pattern libraries to achieve consistent, tested and high-quality interfaces. This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy to apply for, a valid standard Disclosure Scotland. Please click the link to apply.
26/07/2026
Full time
Developer - 12 Months - Outside IR35 - Remote Day Rate - Circa £455 Harvey Nash's public sector client are currently looking to recruit a Developer to join their team based in Edinburgh for an initial 12 month period. This role is predominantly remote, with the expectation you are willing to travel to the office when required. Assignment Description: An experienced developer with solid commercial AWS development experience is required to accelerate the organisation's move away from their legacy finance systems. The focus of the work will be the collaborative development of new serverless microservices using AWS Lambda functions and Typescript/JavaScript. Essential Skills: Significant commercial experience in AWS technologies (CDK, Serverless Lambda, S3, API Gateway, CloudFormation) and Typescript or modern JavaScript. Significant and demonstrable commercial experience in collaborating on high-quality software with other developers and stakeholders. Experience delivering value through understanding business context and focusing on outcomes. Design and implementation of solutions using a service-based, serverless architecture. Excellent collaboration, communication, and teamwork skills. Experience working in Agile delivery models such as Scrum and/or Kanban. Developing within GDS or Digital First (or similar) quality standards. Experience with cloud monitoring, telemetry, intelligence tools and processes. Formal XP engineering techniques, including pair programming and test-driven development. Defining infrastructure-as-code. Desirable Skills: Human-centred, research-driven, inclusive design practices. Testing tools and frameworks, e.g. Cypress. Use of UI pattern libraries to achieve consistent, tested and high-quality interfaces. This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy to apply for, a valid standard Disclosure Scotland. Please click the link to apply.
Flourish Ventures is looking for a hands-on Staff Analytics Engineer to enhance data systems within a vibrant fintech environment. With a focus on dbt transformation and data reliability, you'll collaborate with teams across Finance and Product. The ideal candidate will have 7+ years in data roles, coupled with advanced SQL skills and cloud technology experience. Flourish Ventures fosters a diverse company culture and offers opportunities for growth.
26/07/2026
Full time
Flourish Ventures is looking for a hands-on Staff Analytics Engineer to enhance data systems within a vibrant fintech environment. With a focus on dbt transformation and data reliability, you'll collaborate with teams across Finance and Product. The ideal candidate will have 7+ years in data roles, coupled with advanced SQL skills and cloud technology experience. Flourish Ventures fosters a diverse company culture and offers opportunities for growth.
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.
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
26/07/2026
Full time
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
25/07/2026
Full time
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.
25/07/2026
Full time
Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.
Our blue chip client seeks a DevOps (Platform) Engineer to join their expanding team. This is a hybrid opportunity with 2/3 days per week office based in Camberley and 2/3 days per week remote working. You will ideally be based within sensible travelling distance of Camberley you will demonstrate this key skills AWS - core services (EC2, IAM, S3) and exposure to managed databases, search, or messaging (RDS, OpenSearch, DocumentDB, MSK, MQ, or similar) Container orchestration - Kubernetes or EKS in any capacity, even if not your primary focus to date Service mesh - Istio or similar for traffic management and telemetry - experience or understanding of concepts Observability - metrics, logging, and alerting (preferably using the Grafana stack); understanding what good looks like in a production environment Infrastructure as code - Terraform, CloudFormation, or similar in a real environment CI/CD and GitOps - a structured, automated approach to deploying infrastructure changes Scripting and automation - Python, Go, Bash, or similar Linux systems administration and troubleshooting Understanding of Security principles and AWS security best practice Excellent communication and interpersonal skills to collaborate with cross-functional teams Ability to simultaneously work on a range of activities and projects A salary of £50,000 to £55,000 is on offer for the right candidate.
25/07/2026
Full time
Our blue chip client seeks a DevOps (Platform) Engineer to join their expanding team. This is a hybrid opportunity with 2/3 days per week office based in Camberley and 2/3 days per week remote working. You will ideally be based within sensible travelling distance of Camberley you will demonstrate this key skills AWS - core services (EC2, IAM, S3) and exposure to managed databases, search, or messaging (RDS, OpenSearch, DocumentDB, MSK, MQ, or similar) Container orchestration - Kubernetes or EKS in any capacity, even if not your primary focus to date Service mesh - Istio or similar for traffic management and telemetry - experience or understanding of concepts Observability - metrics, logging, and alerting (preferably using the Grafana stack); understanding what good looks like in a production environment Infrastructure as code - Terraform, CloudFormation, or similar in a real environment CI/CD and GitOps - a structured, automated approach to deploying infrastructure changes Scripting and automation - Python, Go, Bash, or similar Linux systems administration and troubleshooting Understanding of Security principles and AWS security best practice Excellent communication and interpersonal skills to collaborate with cross-functional teams Ability to simultaneously work on a range of activities and projects A salary of £50,000 to £55,000 is on offer for the right candidate.
Our Client is building the operating system for a large, traditionally under-digitised UK services industry. Their AI platform automates the repetitive operational admin that eats up the majority of operators' time: managing communications, compliance, coordination, and scheduling. We're already live with pilot customers managing over 14,000 units, with strong early demand as we scale toward revenue in 2026. Backed by experienced founders and investors, we're building toward a clear goal: the defining AI platform in our category As the first senior data hire, you'll architect and scale the systems powering our client's AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You'll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data te Duties Architect and build scalable data pipelines and infrastructure for AI and product systems Design data ingestion, transformation, and storage architectures Build batch and real-time pipelines, plus vector search/retrieval systems for ML workflows Own data reliability, security, governance, and observability Shape long-term data strategy and mentor the team as we scale What You'll Bring 7+ years in data engineering or backend roles Strong Python; experience with distributed data systems Relational DB experience (PostgreSQL preferred) NoSQLExposure to vector databases (Qdrant, Milvus, pg vector) Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup bac kground Why Join Build the data foundations of a category-defining AI company Work directly with founders and the core engineering team Early-stage ownership, influence, and equity upside
25/07/2026
Full time
Our Client is building the operating system for a large, traditionally under-digitised UK services industry. Their AI platform automates the repetitive operational admin that eats up the majority of operators' time: managing communications, compliance, coordination, and scheduling. We're already live with pilot customers managing over 14,000 units, with strong early demand as we scale toward revenue in 2026. Backed by experienced founders and investors, we're building toward a clear goal: the defining AI platform in our category As the first senior data hire, you'll architect and scale the systems powering our client's AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You'll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data te Duties Architect and build scalable data pipelines and infrastructure for AI and product systems Design data ingestion, transformation, and storage architectures Build batch and real-time pipelines, plus vector search/retrieval systems for ML workflows Own data reliability, security, governance, and observability Shape long-term data strategy and mentor the team as we scale What You'll Bring 7+ years in data engineering or backend roles Strong Python; experience with distributed data systems Relational DB experience (PostgreSQL preferred) NoSQLExposure to vector databases (Qdrant, Milvus, pg vector) Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup bac kground Why Join Build the data foundations of a category-defining AI company Work directly with founders and the core engineering team Early-stage ownership, influence, and equity upside
ADP is hiring a Full Stack .NET based AWS Senior Software Engineer Being able to work independently with minimal guidance, the ideal candidate will have strong business acumen, broad technical skills, and experience managing enterprise development and integration projects. The successful candidate will have a strong understanding of advanced C#.Net, SQL & NoSQL databases and experience of building cloud native REST APIs and serverless applications. Technical leadership, including the ability to coach and train other developers and to drive continuous improvement through established agile practices is key to this role. You will be comfortable spending more time supporting others than hands on coding yourself. In addition, you will be a champion for quality with recognition for the importance of automated testing, meeting non functional requirements, maintaining operational tooling, and enabling continuous delivery. This role requires a deep understanding of both front end and back end technologies, cloud infrastructure, and a strong commitment to best practices. The role provides leadership and guidance for modern technology roll out across teams, ensuring the success for the modernization of ADP products. WHAT YOU'LL DO: Provide technical guidance and mentorship to a team of software engineers, fostering a culture of continuous improvement and innovation. Be a catalyst for strong agile behaviors - working alongside the scrum master to enable engineers to have responsibility and authority for their work and for the team to be introspective and self correcting. Set the gold standard for the team's output and inspire others to deliver to it by following your example. Guide the team to deliver at a predictable cadence without compromising quality or non functional concerns. Provide strong governance within the team to ensure adherence to the principles as laid out by the system architecture. Build good relationships with other functions such as Architecture, Product, other development teams and the wider business to ensure your team is building the right solutions in the right way. Ensure outcomes are identified and measured for success. Conduct code reviews, enforce coding standards, and ensure the quality and maintainability of the codebase. Identify and resolve performance bottlenecks in applications and optimize the use of cloud resources. Implement best practices for application security, data protection, and compliance with relevant regulations. Maintain growth through awareness of modern technologies, both for yourself and the team. Drive improvement individually and collectively, mentoring as the need arises and through dedicated sessions. Provide transparency to other parts of the organization on project progress, team maturity and ongoing challenges. Speak confidently about the technology used in each product and the associated benefits and drawbacks. Liaise regularly with internal onshore and offshore delivery teams including other ADP technology business units. Maintain a focus on how the software will deliver value to the end user and how it can be tested, deployed, maintained and operated. Ensure the work undertaken by the team is well scoped and clearly defined. Maintain awareness and support of ADP policies and procedures. Key Skills and Qualifications Experience in building, delivering and operating APIs at high availability and scale. Knowledge of automated testing frameworks and testing best practices. Deep understanding of agile engineering practices. Technical Expertise Proficient in .NET Core, C# and related technologies. Strong experience with front end technologies such as React, StencilJS, Web components & TypeScript. In depth knowledge of AWS services, including but not limited to ECS, S3, Lambda, RDS, API Gateway, CDK. Experience with containerization technologies such as Docker. Proficient in SQL and NoSQL databases (e.g. SQL Server, PostgreSQL, DynamoDB). Strong understanding of RESTful APIs and microservices architecture. Leadership and communication Proven track record of leading and delivering complex software projects from conception to production in an agile environment. Proven experience in leading and mentoring software engineering teams. Excellent communication skills, with the ability to articulate technical concepts to both technical and non technical stakeholders to help drive fast decisions. Cloud and DevOps Extensive experience with AWS cloud architecture and services. Experience with automated testing, and infrastructure as code (IaC) using tools like AWS CDK, Terraform etc. Design Principles Strong understanding of good coding and testing practices such as clean code, SOLID and TDD. Problem Solving and Analytical Skills Strong problem solving skills and the ability to think critically and creatively. Ability to make informed decisions under pressure and handle multiple projects simultaneously. Education and Experience Bachelor's degree in computer science, engineering, or a related field (master's preferred). Extensive commercial track record in software development, with a focus on full stack development and cloud based applications. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Preferred Skills and Qualifications Commercial track record of hands on experience in design, development, and delivery of cloud based applications. Understanding of modern web development, JavaScript frameworks and Micro Frontends. A good understanding of modern distributed systems concepts and the challenges involved. Ability to devise action oriented scheduling leading to delivery. Proven ability to partner effectively across functions, in complex organizations. Patience and dedication, with the ability to navigate complex environments through product knowledge and leadership style. The ability to adapt to change. Ability to identify, and focus on, what is important (Time Management and priorities tasks). Desirable skills and qualifications Experience of Payroll processes. Experience of HR processes. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectionate or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.
25/07/2026
Full time
ADP is hiring a Full Stack .NET based AWS Senior Software Engineer Being able to work independently with minimal guidance, the ideal candidate will have strong business acumen, broad technical skills, and experience managing enterprise development and integration projects. The successful candidate will have a strong understanding of advanced C#.Net, SQL & NoSQL databases and experience of building cloud native REST APIs and serverless applications. Technical leadership, including the ability to coach and train other developers and to drive continuous improvement through established agile practices is key to this role. You will be comfortable spending more time supporting others than hands on coding yourself. In addition, you will be a champion for quality with recognition for the importance of automated testing, meeting non functional requirements, maintaining operational tooling, and enabling continuous delivery. This role requires a deep understanding of both front end and back end technologies, cloud infrastructure, and a strong commitment to best practices. The role provides leadership and guidance for modern technology roll out across teams, ensuring the success for the modernization of ADP products. WHAT YOU'LL DO: Provide technical guidance and mentorship to a team of software engineers, fostering a culture of continuous improvement and innovation. Be a catalyst for strong agile behaviors - working alongside the scrum master to enable engineers to have responsibility and authority for their work and for the team to be introspective and self correcting. Set the gold standard for the team's output and inspire others to deliver to it by following your example. Guide the team to deliver at a predictable cadence without compromising quality or non functional concerns. Provide strong governance within the team to ensure adherence to the principles as laid out by the system architecture. Build good relationships with other functions such as Architecture, Product, other development teams and the wider business to ensure your team is building the right solutions in the right way. Ensure outcomes are identified and measured for success. Conduct code reviews, enforce coding standards, and ensure the quality and maintainability of the codebase. Identify and resolve performance bottlenecks in applications and optimize the use of cloud resources. Implement best practices for application security, data protection, and compliance with relevant regulations. Maintain growth through awareness of modern technologies, both for yourself and the team. Drive improvement individually and collectively, mentoring as the need arises and through dedicated sessions. Provide transparency to other parts of the organization on project progress, team maturity and ongoing challenges. Speak confidently about the technology used in each product and the associated benefits and drawbacks. Liaise regularly with internal onshore and offshore delivery teams including other ADP technology business units. Maintain a focus on how the software will deliver value to the end user and how it can be tested, deployed, maintained and operated. Ensure the work undertaken by the team is well scoped and clearly defined. Maintain awareness and support of ADP policies and procedures. Key Skills and Qualifications Experience in building, delivering and operating APIs at high availability and scale. Knowledge of automated testing frameworks and testing best practices. Deep understanding of agile engineering practices. Technical Expertise Proficient in .NET Core, C# and related technologies. Strong experience with front end technologies such as React, StencilJS, Web components & TypeScript. In depth knowledge of AWS services, including but not limited to ECS, S3, Lambda, RDS, API Gateway, CDK. Experience with containerization technologies such as Docker. Proficient in SQL and NoSQL databases (e.g. SQL Server, PostgreSQL, DynamoDB). Strong understanding of RESTful APIs and microservices architecture. Leadership and communication Proven track record of leading and delivering complex software projects from conception to production in an agile environment. Proven experience in leading and mentoring software engineering teams. Excellent communication skills, with the ability to articulate technical concepts to both technical and non technical stakeholders to help drive fast decisions. Cloud and DevOps Extensive experience with AWS cloud architecture and services. Experience with automated testing, and infrastructure as code (IaC) using tools like AWS CDK, Terraform etc. Design Principles Strong understanding of good coding and testing practices such as clean code, SOLID and TDD. Problem Solving and Analytical Skills Strong problem solving skills and the ability to think critically and creatively. Ability to make informed decisions under pressure and handle multiple projects simultaneously. Education and Experience Bachelor's degree in computer science, engineering, or a related field (master's preferred). Extensive commercial track record in software development, with a focus on full stack development and cloud based applications. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Preferred Skills and Qualifications Commercial track record of hands on experience in design, development, and delivery of cloud based applications. Understanding of modern web development, JavaScript frameworks and Micro Frontends. A good understanding of modern distributed systems concepts and the challenges involved. Ability to devise action oriented scheduling leading to delivery. Proven ability to partner effectively across functions, in complex organizations. Patience and dedication, with the ability to navigate complex environments through product knowledge and leadership style. The ability to adapt to change. Ability to identify, and focus on, what is important (Time Management and priorities tasks). Desirable skills and qualifications Experience of Payroll processes. Experience of HR processes. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectionate or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK based Staff Backend Engineer to be a key technical leader within the teams responsible for Depop's Payments and Fulfilment systems, ensuring we provide our users with a best in class payments and shipping experience. You should feel equally at home around a whiteboard with a group of engineers, as you are explaining complex technical topics and why they matter to leadership and non-technical collaborators. You'll own and drive the technical vision for how we can evolve the architecture, to fundamentally shift our product squads ability to move at speed and drive further innovation & improvements for our users in the space. You will work closely with multiple product squads, other Staff and Backend engineers, and product & engineering leaders, providing deep technical expertise to ensure our Payment and Fulfilment systems are scalable, secure, observable, and fit for our future growth ambitions. Responsibilities Partner with senior collaborators across Product, Engineering, Finance and Ops to translate strategic goals into well-architected, scalable platform capabilities. Drive the technical design and implementation of key Payments and Fulfilment features, providing hands-on coding and architectural leadership. Define and evolve the technical roadmap for our Payments and Fulfilment systems, ensuring they're extensible for Product squads, and simple for engineers to work with. Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and building for speed. Lead efforts to evangelise and generate consensus for why the technical work in this area is of high importance. Mentor and coach engineers, elevating the technical capabilities of the teams around you and fostering a culture of technical excellence. Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions. Qualifications You'll be an excellent fit if you have: Experience as a Staff Engineer or equivalent senior technical leadership role working across the Backend at scale, ideally in a consumer or marketplace environment. Deep expertise in designing, building, and operating distributed systems and platforms at scale. Exceptional programming skills in Scala, Java, or TypeScript, with deep cloud platform expertise (AWS, GCP, or Azure). Familiarity with event-driven architectures using Kafka. A strong technical background with a track record of hands-on architecture and development of complex backend systems. Ability to think strategically and pragmatically: you can define long-term technical strategies and implement rapidly, bringing others along with you. Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organisation. . Bonus points if: You've previous experience in Fulfilment or Payments, including integration with vendors such as Stripe, PayPal, or shipping providers. Prior work in fashion, marketplaces, fintech, or sustainability-driven tech. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
25/07/2026
Full time
Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. In 2025 our ambition is to be a high-performing, delivery-focused organisation and the best engineering organisation for those who value meaningful career growth. We are looking for a UK based Staff Backend Engineer to be a key technical leader within the teams responsible for Depop's Payments and Fulfilment systems, ensuring we provide our users with a best in class payments and shipping experience. You should feel equally at home around a whiteboard with a group of engineers, as you are explaining complex technical topics and why they matter to leadership and non-technical collaborators. You'll own and drive the technical vision for how we can evolve the architecture, to fundamentally shift our product squads ability to move at speed and drive further innovation & improvements for our users in the space. You will work closely with multiple product squads, other Staff and Backend engineers, and product & engineering leaders, providing deep technical expertise to ensure our Payment and Fulfilment systems are scalable, secure, observable, and fit for our future growth ambitions. Responsibilities Partner with senior collaborators across Product, Engineering, Finance and Ops to translate strategic goals into well-architected, scalable platform capabilities. Drive the technical design and implementation of key Payments and Fulfilment features, providing hands-on coding and architectural leadership. Define and evolve the technical roadmap for our Payments and Fulfilment systems, ensuring they're extensible for Product squads, and simple for engineers to work with. Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and building for speed. Lead efforts to evangelise and generate consensus for why the technical work in this area is of high importance. Mentor and coach engineers, elevating the technical capabilities of the teams around you and fostering a culture of technical excellence. Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions. Qualifications You'll be an excellent fit if you have: Experience as a Staff Engineer or equivalent senior technical leadership role working across the Backend at scale, ideally in a consumer or marketplace environment. Deep expertise in designing, building, and operating distributed systems and platforms at scale. Exceptional programming skills in Scala, Java, or TypeScript, with deep cloud platform expertise (AWS, GCP, or Azure). Familiarity with event-driven architectures using Kafka. A strong technical background with a track record of hands-on architecture and development of complex backend systems. Ability to think strategically and pragmatically: you can define long-term technical strategies and implement rapidly, bringing others along with you. Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organisation. . Bonus points if: You've previous experience in Fulfilment or Payments, including integration with vendors such as Stripe, PayPal, or shipping providers. Prior work in fashion, marketplaces, fintech, or sustainability-driven tech. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
Job Description Are you ready to transform the future of banking? Join our digital bank, Chase, as a Lead Software Engineer and be part of a team that's revolutionizing mobile banking with seamless journeys that our customers love. At JPMorgan Chase, we're building the bank of the future from scratch, offering you the opportunity to make a real impact. Our Developer Experience team is dedicated to providing an exceptional developer experience, fostering a culture of innovation and collaboration. Embrace the chance to grow your career in a diverse and inclusive environment where your unique perspective is valued. As a Lead Software Engineer within the International Consumer Bank, you will collaborate with development teams to enhance the developer experience, delivering end to end cutting edge solutions in the form of cloud native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities Self motivated who can drive epics individually with minimum support. Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high quality production code to deploy infrastructure. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to the teams' culture, diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Understanding distributed systems and microservice architecture. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding Agile methodologies, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, etc.). Experience with Public Cloud services in Production (we use AWS). Experience with Infrastructure as Code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Preferred qualifications, capabilities, and skills Familiarity with modern front end or back end technologies. Debugging expertise in Kubernetes. Understanding of Infrastructure Tools, preferably Terraform, and AWS services understanding. Experience with any GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Proficient in coding in one or more languages. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate based on any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting accommodation.
25/07/2026
Full time
Job Description Are you ready to transform the future of banking? Join our digital bank, Chase, as a Lead Software Engineer and be part of a team that's revolutionizing mobile banking with seamless journeys that our customers love. At JPMorgan Chase, we're building the bank of the future from scratch, offering you the opportunity to make a real impact. Our Developer Experience team is dedicated to providing an exceptional developer experience, fostering a culture of innovation and collaboration. Embrace the chance to grow your career in a diverse and inclusive environment where your unique perspective is valued. As a Lead Software Engineer within the International Consumer Bank, you will collaborate with development teams to enhance the developer experience, delivering end to end cutting edge solutions in the form of cloud native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact on our clients and business partners worldwide. Job responsibilities Self motivated who can drive epics individually with minimum support. Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment. Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches. Create secure and high quality production code to deploy infrastructure. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Add to the teams' culture, diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 5+ years of applied experience. Understanding distributed systems and microservice architecture. Hands on practical experience in system design, application development, testing, and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python or other) and database querying languages. Overall knowledge of the Software Development Life Cycle. Understanding Agile methodologies, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, etc.). Experience with Public Cloud services in Production (we use AWS). Experience with Infrastructure as Code (Terraform or other). Ability to tackle design and functionality problems independently with little to no oversight. Experience in architecting, supporting, and implementing advanced, strategic CICD migrations. Preferred qualifications, capabilities, and skills Familiarity with modern front end or back end technologies. Debugging expertise in Kubernetes. Understanding of Infrastructure Tools, preferably Terraform, and AWS services understanding. Experience with any GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus. Proficient in coding in one or more languages. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate based on any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting accommodation.
