26 to 40 of 40 Distributed Systems Jobs in Central London

offs that power high-traffic, customer-facing pricing and offers experiences across Expedia Group brands. Lead end-to-end implementation of complex features and systems within the Offers Domain, from technical design and coding through testing, deployment, monitoring, and ongoing operational support, ensuring simple, accurate, and transparent pricing throughout … system design, API design, and data modeling. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products while adhering to established patterns and guidelines. Minimum Qualifications: Bachelor ...

modern CI/CD practices. Kubernetes and containerised application environments. AWS and cloud-based security and infrastructure. Designing and implementing secure APIs, integrations and distributed systems. Security principles including authentication, authorisation, token lifecycle management, secrets management and least-privilege access. Why join AND Digital? We have three values: wonder ...

What we're looking for Senior Software Engineering experience – C#/Python/SQL Strong technical depth in C# and full‐stack debugging across distributed systems Domain knowledge of investment operations, asset management workflows, or financial data platforms Comfortable with configuration‐driven platforms; experience with data integration ...

skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scale Excellent communication skills, with the ability ...

along the way, come join the Broadridge team. Join us as a Lead DevOps Engineer supporting low-latency trading infrastructure and business-critical financial systems across cloud and on-prem environments. This hands-on technical lead role focuses on designing, automating, and supporting highly available platforms in partnership with … Python applications across multiple environments. Automate infrastructure provisioning, deployment, configuration, database schema creation, and operational workflows across cloud and on-prem platforms. Support production systems with a focus on high availability, disaster recovery, incident response, vulnerability management, patching, and change management. Containerize applications and support deployments using container orchestration ...

Meta's production infrastructure and services. In this role, you will manage a team of production engineers who own the full lifecycle of systems — from capacity planning and performance optimization to incident response and automation. You will drive technical strategy, champion AI-augmented workflows, and partner closely with software … team structure minimizes single points of failure and supports sustainable growthMinimum Qualifications:4+ years of experience in production engineering, site reliability engineering, or systems software engineering2+ years of experience managing production engineering or infrastructure engineering teamsExperience driving reliability and scalability improvements for large-scale distributed systems, including ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes … growth and solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred ...

cloud engineering, on-premise engineering, virtualization, or containerization platforms. Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within ...

leadership (e.g., people management, team lead, mentorship, coaching). Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within ...

cloud engineering, on-premise engineering, virtualization, or containerization platforms. Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within ...

leadership (e.g., people management, team lead, mentorship, coaching). Preferred qualifications: Experience with software lifecycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience as a pre-sales manager or technical customer-facing people manager within ...

while ensuring enterprise SDLC, vulnerability management, and change management compliance Requirements 12+ years leading platform engineering teams delivering shared services or large-scale SaaS systems with production operations accountability Demonstrated success building and operating platforms adopted by multiple product teams, including reliability discipline (SLOs), observability, and incident management Strong … hands-on technical leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI-powered systems in production, including evaluation, monitoring, observability, auditability ...

massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes … solve their most critical business problems. Minimum qualifications: Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning or Artificial ...

strategy, and execution for our Public Investing platforms and capabilities. This critical role will be instrumental in transforming our current technology landscape from disparate systems to a unified, data-driven, and AI-enabled ecosystem. The Product Manager will lead initiatives to enhance operational efficiency, improve investment performance, mitigate risk … time pressure and with resource constraints. A demonstrated ability to rationalize ambiguous, open-ended problems and establish and communicate and plan for progression. Ensure systems can scale to handle increasing business volumes, optimize performance and throughput. Good understanding of distributed systems. Be an advocate of best practices ...

fintech, challenger banking or a regulated digital business. Deep, hands-on expertise in Java and Spring Boot, with strong instincts for building scalable, resilient, distributed systems. Solid working knowledge of AWS, including compute, storage, networking and the operational considerations that come with running regulated workloads in the cloud. … formally mentoring engineers, with tangible impact on team capability and output. Strong architectural instincts, able to think beyond the immediate ticket and design systems that hold up under scale and scrutiny. Practical experience evaluating or implementing AI-powered developer tooling, and a considered view on where it adds genuine ...