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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

Hexaware Technologies★3.6 (981)· London

This role owns technical architecture across SuccessFactors, S/4HANA Finance, and Ariba, defining integrations via CPI/PI/PO, APIs, IDocs, RFCs, REST/SOAP. It leads design for Fiori/UI5 apps, BTP extensions, and oversees ABAP (RAP, CDS, AMDP), Java/Node development. The architect establishes CI/CD pipelines, coding standards, and mentors development teams.

Python, SQL, AWS, IaC (Pulumi or Terraform), and likely Airflow, dbt, Spark, Kafka. You will build ETL/ELT pipelines ingesting and normalising data from fragmented legacy police systems for AI-powered investigation software and smart hardware. This is a founding role on a 7-person engineering team.

You will work with Java, Spring Boot, React, TypeScript, Docker, and AWS or Azure on public sector digital transformation projects. The team builds cutting-edge digital solutions for government clients, using Git, CI/CD pipelines, and NoSQL databases such as MongoDB.

Macquarie Group★3.8 (315)· London

This global technical leadership role uses AWS and/or Google Cloud, LLMs, agentic systems, tool-calling, and workflow orchestration to design and deploy AI solutions at enterprise scale. The role sits within Commodities and Global Markets, which helps clients manage financial and commodity market risks, access capital, and trade physical commodities. The position has global scope, spanning business enablement, application design, and intelligent automation across the group.

Work with Microsoft Power Platform (Model-Driven Apps, Dataverse, Power Automate), C# Plugins, PCF Controls, Custom Connectors, Azure API Management, Logic Apps, Azure Functions, and Azure DevOps repos/pipelines. Design and customize enterprise Power Platform solutions, building integrations and managing ALM. No team size stated.

Lead the design and architecture of cloud-native, distributed systems, APIs, and data platforms powering Fasanara Open Quant, a quantitative multi-strategy multi-manager hedge fund. Build core investment, portfolio, risk, and data technology while working directly with portfolio managers, quantitative researchers, and traders.

Design, build and operate production agentic AI systems using Python, LLMs (Azure OpenAI, Anthropic, open models) and frameworks like LangGraph, LangChain, LlamaIndex, as well as MCP servers, vector databases, RAG, and observability tools. The team delivers reliable, audit-ready AI for banking, insurance and fintech clients at a global IT solutions provider.

Ares Management★3.3 (33)· London

This senior full-stack engineer works with cloud-native architectures, microservices, Kubernetes, messaging/event streaming, APIs, and CI/CD. They build scalable applications, data services, and platform capabilities across Ares' global credit investment lifecycle, including deal origination, underwriting, portfolio monitoring, risk management, and analytics.

Google★4.3 (6.3k)· London

You will work on large-scale infrastructure, distributed systems, compute, storage, or hardware architecture using various programming languages. The Dependency Tracing Team within Platform Reliability Engineering minimizes outages due to infrastructure failures, helping Google Cloud customers build reliable workloads.