Work with Azure, AKS, Infrastructure as Code (IaC), and SaaS environments to shape and scale modern Azure infrastructure. The team focuses on complex, technically challenging systems.

A DevOps Engineer will manage Linux infrastructure, CI/CD pipelines, and automation tools, supporting a multi-strategy hedge fund's core trading platforms and engineering teams. The role focuses on platform resilience, scalability, and performance optimization.

A data engineer will use Snowflake, SQL, Airflow, and AWS (S3, Lambda) to support a UK leading banking client with data warehousing and workflow management.

Work on large-scale data projects for a public-facing critical national infrastructure organisation. Modern data engineering practices and technologies are required; no specific tools are listed in the posting.

Work with PHP, JavaScript, HTML, CSS, Git, GitHub, Docker, and Linux to build secure, scalable production systems and integrate APIs. The role is at MedPal AI Plc, but no specific project or team scope is described in the listing.

You will work with Java, Spring Boot, JavaScript, Angular, relational databases and SQL, REST APIs, real-time systems, and CI/CD, alongside legacy Ruby. The role is in a startup or SME where you’ll take on a variety of full-stack development responsibilities.

Work with Java, C#, ReactJS, microservices, Kafka, Oracle, Couchbase, Prometheus, Grafana, CloudWatch, and CI/CD tools like Concourse. Focus on building and supporting APIs, event-driven systems, and observability pipelines. No specific product or team scope is described.

Design and secure cloud and hybrid infrastructure using Python, Terraform, Kubernetes, IaC, CI/CD, SIEM, CSPM, CWPP, and AWS/GCP/Azure. You will protect mission-critical applications for xAI’s AI systems and platforms including X Social and X Money.

Work with React, TypeScript, Python/Node.js, Next.js, NoSQL/Relational databases, Docker, and cloud deployments. You will collaborate with public sector clients to build full-stack AI applications and custom LLM training data. Scale’s Global Public Sector team applies AI to critical government challenges.

Anthropic★5.0 (1)· London

You will work with Q-Sys, Google Meet, Logitech, Lua scripting, Netgear AV-over-IP switches, and DSP. As an AV Engineer at Anthropic—which builds reliable, interpretable AI systems—you will design and implement AV solutions for new office builds across EMEA to enable frictionless collaboration for AI safety research.

You'll work with AWS, Kubernetes, Terraform, Pulumi, CloudFormation, Java, Python, Golang, and AI coding tools like Claude Code, Cursor, GitHub Copilot. The team builds the Fanatics Markets real-money prediction and trading app for sports, entertainment, and political outcomes. As Staff Platform Engineer, you set technical direction and design durable platform abstractions.

Apple★4.1 (14k)· London

You will work with Go, React, PostgreSQL, and Kubernetes to build internal tools for SREs and engineers. The Apple Services Engineering team provides infrastructure and tooling that supports cloud engineering and helps make Apple’s services (iCloud, TV+, App Store) highly reliable.

JPMorgan★3.9 (20k)· London

You will work with Java, Spring Boot, Hibernate, JPA, Spring Kafka, microservices, CI/CD, and AI-assisted coding tools; preferred skills include React, Angular, Kubernetes, and Python. You’ll build production-grade full-stack software that powers JPMorgan’s global banking businesses and supports millions of customers.

You will work with AWS/Kubernetes, Terraform/Pulumi, Java, Python, and AI code collaborators like Claude Code, Cursor, and Copilot. Fanatics Markets is a real-money prediction and trading app where users predict outcomes and trade on events. You will build scalable cloud-native infrastructure and developer tooling for this platform.

Hands-on Head of Engineering role building a modern, API-first, microservices-based platform for a specialty MGA. Will work with cloud architecture, modular services, AI, and data platform to deliver embedded insurance products. Initially close to code, then responsible for defining team structures and scaling the engineering organization.

You will work with Java 17+, Kotlin, Vert.x/Spring WebFlux, Kafka Streams/Apache Flink, gRPC, FlatBuffers/Avro/Protobuf, Elasticsearch/Solr, AWS (EKS), Docker, Kubernetes, Terraform, GitLab CI, Redis, and GraphQL. You will build and modernize the backend services powering event discovery, real-time seat availability, and interactive venue experiences for Ticketmaster's high-traffic prepurchase platform. This is a hands-on coding role with no direct reports.

You'll build production data pipelines using Apache Spark (PySpark), Databricks, Delta Lake, and SQL, with Unity Catalog, CI/CD, Terraform, MLflow, Kafka, and cloud platforms like AWS/Azure/GCP. Unifeye is a Databricks-first consultancy delivering Lakehouse data platforms for enterprise clients. No team size is stated.

Lead a small multidisciplinary team building a predictive sports modelling platform for the gaming industry. You will work with Java Spring, Kafka, AWS, Docker, and Kubernetes, while exploring AI-enabled engineering tools.

Lead engineers on Canada Life UK's digital team work with modern component-oriented front-end frameworks, CI/CD pipelines, test automation, and Azure-hosted solutions. You will design and build accessible, responsive user interfaces (WCAG 2.2 AA standards), optimize front-end performance and Core Web Vitals, and contribute hands-on across full-stack development. This role is one of several Lead Engineers in Digital who collaboratively set technical direction and engineering standards.

Xelix★0.0· London

You’ll lead design and delivery of production-grade AI solutions combining machine learning, LLMs, and robust engineering, architecting complex agent-based workflows and tool ecosystems. You will work with modern AI-assisted development tools and define evaluation frameworks. Xelix automates financial controls for enterprise Accounts Payable teams.

Node.js, TypeScript, AWS, Kubernetes, REST APIs, Terraform, EventBridge, SQS, and CI/CD. You’ll join a high-growth UK payments fintech building scalable B2B payments infrastructure and event-driven distributed systems. As a Senior Engineer, you’ll shape architecture, own features end-to-end, and mentor engineers.

You will work with Python, Django, FastAPI, PostgreSQL, AWS, and distributed async workers. The team builds an AI platform that processes purchasing records and recipes to measure and reduce carbon emissions for the food industry. You will own the backend for a core product in an eight-person startup.

Amazon★3.5 (56k)· London

You will work with Java, C++, or C# and build large-scale distributed systems as part of Amazon's IAM group, which protects customer and corporate data. This is a greenfield initiative focused on security innovation through data exploration and machine learning. The role requires cross-functional collaboration across multiple teams and technologies.

CrowdStrike★3.8 (55)· London

Manage a team building infrastructure services for CrowdStrike’s DevOps model, working on large-scale distributed tracing/metrics platforms. You will use Python, Bash, or Go to build Kubernetes operators, alongside Otel, Tempo, Sentry, Prometheus, and Thanos, in AWS or GCP cloud environments.

MUFG★3.3 (1k)· London

Senior AI engineer in MUFG's Global Markets Engineering Office; role builds AI solutions using generative AI, agentic workflows, RAG, prompt orchestration, workflow automation, and data-driven decision-support tools. The position identifies, designs, and embeds AI solutions to improve productivity, control effectiveness, and operational resilience within a specific business product line.