251 to 275 of 854 Distributed Systems Jobs in London

architectures, prompt orchestration and LLM integration AWS cloud engineering, particularly Bedrock and AgentCore CI/CD, DevOps and engineering automation RESTful APIs, microservices and distributed systems Technical leadership and mentoring Experience delivering secure, production-grade applications Experience with Terraform, GitOps, Kong API Gateway, vector search, SQL/NoSQL ...

build high-performing engineering teams. Experience working within cloud-based environments (AWS, Azure or GCP). Understanding of software architecture, system design, and scalable distributed systems. Nice to Have Knowledge of payment processing, payment gateways, acquiring, issuing, card schemes, open banking, or embedded finance. Experience working with highly available ...

Java engineering experience within modern software delivery environments. Experience designing, building and operating cloud‐native solutions on AWS. Experience with microservices architecture, APIs and distributed systems. Strong software engineering fundamentals and experience working within modern development environments. Experience with CI/CD pipelines, automated testing and production support. Broad ...

combines: Deep technical and coding capability , with the ability to communicate complex concepts clearly to non-technical audiences Strong understanding of AI/GenAI systems and architecture Experience building agentic, production‐grade AI solutions The ability to operateacross the full lifecycle :fromstrategytodesigntobuildtodeployandscale As a senior member … accounts. Thought Leadership & Proposition Ownership : Play a key role in shaping Wavestone’s AI and GenAI propositions , bringing forward innovative approaches to agentic systems, retrieval architectures, evaluation frameworks, and enterprise AI engineering. You will contribute to thought leadership through articles, insights, and event participation, and help develop reusable accelerators ...

ecommerce, loyalty, andclientelingexperiences. You will design scalable, secureservicesand build the integration layer that connects our digital products to CRM, SCV, and downstream data systems to enable personalisation, analytics, and Customer 360 capabilities. This is a hands-on technical leadership role for an engineer who thrives on shaping platform strategy … governance, authentication, authorisation, and rate-limiting strategiesto support Customer 360 and broader platform interoperability. Define and implement observability standards, including logging, metrics, distributed tracing, and alerting across tools such as New Relic, Datadog, or CloudWatch. Collaborate closely with frontend, product, and data teamsto deliver seamless, performant, and secure ...

capital markets SaaS platform used by financial institutions to manage trading, post-trade, and operational workflows. You’ll work on scalable, production-grade systems that sit at the core of institutional market infrastructure. Key Responsibilities Design and develop backend services and APIs Support scalable, high-availability systems Collaborate … Required Experience Backend engineering experience (Java, Kotlin, or similar) Financial services or capital markets exposure API and database design experience Experience working on production systems Understanding of distributed systems Nice to Have Post-trade or middle-office system exposure Cloud-native development experience Microservices architecture Why Join ...

codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good … Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other ...

speak with you. Responsibilities: Design, build and maintain scalable, and reliable cloud infrastructure in AWS Enable development teams to be owners of their systems and to deliver high impact products to our users Partner with SRE and security teams to help developers build resilient and secure applications Participate … call and incident management process as part of a “you build it, you run it” mentality Requirements: Hands-on experience managing systems in AWS (EC2, S3, RDS, IAM, VPC, etc.) Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.) Solid understanding of CI/CD practices and tools (GitHub ...

mission-critical workflows. The Role We are seeking an exceptional Founding Engineer , a hands-on technical expert who takes complete ownership of delivering complex systems to the highest standard, end-to-end. You will operate with high individual autonomy, taking raw, complex business or quantitative ideas and turning them … into fault-tolerant, high-throughput systems. You will own the total realisation of complex ideas into working solutions, architecting systems from scratch, refactoring paradigms where needed, creating high-performance code across the tech stack, and taking full responsibility for end-to-end execution. Build & Refine Core Platform Foundations: Drive ...

tooling, and actually changed behaviour with them. Strong API and integration engineering: designing, versioning, securing and operating interfaces consumed by other people’s systems — and increasingly by their agents — with real care for the consumer experience around them. Treats data governance as an engineering problem: entitlements, licensing, lineage, provenance … auditability enforced in the technology rather than asserted in a policy document. Sound distributed systems and cloud architecture judgement — resilience, observability, performance, cost and operability, not just diagrams. Excellent influencing and communication skills: you build consensus across teams and can hold your own with product, commercial and executive ...

anticipate user demands and drive innovation. Additionally, you'll take the lead in providing operational support and technical oversight for several large-scale distributed applications. How You'll Contribute: Monitor and interpret system and application metrics to fine-tune performance and troubleshoot issues effectively Collaborate closely with developers … structured release practices Engage in architectural discussions, manage platform operations, and contribute to capacity forecasting Design and implement automated solutions to build resilient, scalable systems Maintain a strong focus on delivering new features while ensuring stability and adherence to service level goals You'll Stand Out If You Have ...

analytics—ensuring they are scalable, production-grade, and aligned to client workflows. This role sits at the intersection of financial domain expertise, large-scale distributed systems engineering, and applied AI/ML, with accountability for how analytics products are engineered, productionised, and scaled across LSEG. AI/… markets. Strong domain knowledge in fixed income and derivatives, including pricing and risk concepts. Strong programming expertise (Python, Java, C++) with proven experience building distributed data and analytics systems, including high-throughput pipelines and low-latency computation. Strong understanding of AI/ML systems and production deployment ...

inquisitive engineer with an aptitude for finding clean and simple solutions to technical problems, passionate about building observable, reliable and secure systems that positively impact the wider engineering organisation. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack … infrastructure on GCP Ensure the performance and reliability of cloud environments whilst measuring cost-effectiveness Embrace automation and be reluctant for manual implementation Build systems with security by design as a core foundation Ensure platform compliance with standards such as ISO 27001, SOC 2, PCI DSS and 3DS Design ...

people with: Deep expertise across full stack software engineering, including frontend technologies, backend services, APIs, databases and infrastructure as code Strong knowledge of distributed systems and cloud native architectures Experience designing and delivering complex platforms operating at enterprise scale Strong cloud engineering experience within AWS, Azure … ability to provide constructive technical guidance Ability to translate complex architectural requirements into practical engineering solutions Experience working with delivery partners, vendors or systems integrators Strong communication and collaboration skills, with the ability to influence technical decisions across teams Experience building or contributing to AI and Machine Learning platforms ...

enter keys to toggle section visibility Software engineering experience in Python, Java or Scala, designing, building and supporting reliable, production‐grade software. Experience with distributed systems, shared platforms or data‐intensive applications, with an understanding of scalability, resilience, performance and maintainable software design. Experience working with cloud platforms … based workflows, alongside familiarity with Linux and networking. Experience with build tooling such as Bazel would be beneficial. Exposure to analytics, workflow or distributed‐compute technologies, such as Apache Airflow, Dask, JupyterHub or comparable tools, would be helpful. An interest in applying AI to software engineering, with experience ...

cloud vendor. Knowledge of off-heap data structures, including memory-mapped file-based data structures. Knowledge and experience of JVM based optimisation. Experience with distributed systems, data streaming (e.g., Kafka) and big-data processing paradigms. Working in any of: Scrum, Agile, XP, Kanban or Lean Software Development environment. … exposure to highly-available services. Security aspects of software development Bonus for knowledge of: UI development using React.js. Scripting languages, preferably Python. NoSQL or distributed databases (e.g., Redis, Couchbase) Automation/configuration management (e.g., Ansible, Puppet, Chef) Containerisation and orchestration (Docker, Kubernetes). Public cloud (e.g. ...

decision-making frameworks, and engineering standards. What will you bring to the team? Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). Strong Python skills and solid SQL across BigQuery or equivalent … with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds. Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.) Familiarity with observability ...

team-lead experience, with a track record of coaching engineers and driving team performance Strong background in software engineering, including system design, cloud native systems, and Kubernetes Ability to guide technical decisions and evaluate designs across complex, distributed systems Experience managing complex technical delivery in an agile … ability to influence both technical and non-technical stakeholders Ability to translate business objectives into team-level tasks and priorities Experience managing production systems, including incident response and reliability engineering Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways ...

unmatched adaptability for complex missions. You will step directly into complex environments, translate unique user needs into robust technical solutions, and ensure our autonomous systems deliver decisive value in the field. This is a hands-on role for a systems thinker who thrives on integrating cutting-edge software … withstand the rigors of real-world use. What You Bring Proven experience building and deploying software integrations for robotics, defense, or complex industrial systems, with hands-on skills in C++ and ROS2. Strong software engineering fundamentals, with a knack for production-quality API integration, service development, and robust testing. ...

when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data … goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This ...

business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed … Generative AI solutions within enterprise environments. Experience building enterprise‐scale cloud‐native applications using Kubernetes, containers, microservices and event‐driven architectures. Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering. Strong knowledge of SQL and NoSQL technologies, API design and integration patterns. Excellent communication and stakeholder ...

Stack Engineer, you will be one of the most technically skilled hands on the platform – writing production code, shaping architectural decisions, and ensuring the systems we build are scalable, secure and genuinely ready for the demands of enterprise-scale telecoms. You will work closely with the VP Software Engineering … enterprise environments. Strong proficiency across the full stack – backend (Python, Java or equivalent), frontend frameworks, APIs, databases and infrastructure as code. Depth in distributed systems design: you understand how to build services that scale, fail gracefully and recover quickly. Experience working with cloud-native infrastructure ...

platform initiatives. Expert Python development skills. Strong software engineering and architecture experience. Experience building production machine learning or generative AI systems. Excellent understanding of distributed systems, APIs and modern software architectures. Experience working with cloud-native environments and container platforms. Experience with CI/CD, automated testing, observability … tuning or model customisation techniques. Platform & Infrastructure Experience Experience with Kubernetes and containerised deployment models. Experience managing or designing GPU-enabled environments. Experience with distributed training and inference workloads. Understanding of vector databases, model serving frameworks and AI infrastructure tooling. Experience with cloud platforms such as Azure ...

making significant investments in our business and we will invest in you.# **Our Tech Stack/Tools** * C#* .Net* Event Driven Architecture* Highly distributed systems # **Responsibilities** * Defining and executing the quality and testing strategy for your team, coaching other team members to ensure software quality is considered ...

making significant investments in our business and we will invest in you. Our Tech Stack/Tools C# .Net Event Driven Architecture Highly distributed systems Responsibilities Defining and executing the quality and testing strategy for your team, coaching other team members to ensure software quality is considered throughout ...