Goldman Sachs★3.9 (2.3k)· London

Lead migration of multi-billion-dollar funding trades onto cloud (AWS preferred) and risk-trading platforms for Goldman Sachs’ Corporate Treasury. Work hands-on with traders, quantitative engineers and control functions to build and scale funding-position systems across FX, Loans, Repo and Debt instruments. Provide technical leadership to a global team of engineers.

Barclays★3.9 (6.9k)· London

Build and run cloud services using Terraform or CloudFormation, GitLab, Python, and AWS/Azure/GCP, with Kubernetes orchestration. You will create a new digital platform capability transforming Barclays’ digital estate, focusing on customer identity and access management (CIAM).

Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

This role leads the SRE team at Blockchain.com, architecting hybrid infrastructure across GCP, AWS, and on-premise data centers using Kubernetes, Nomad, Terraform, and Cloudflare Zero Trust. You will establish the multi-year platform and reliability strategy, own incident response, and mentor a global team of senior SREs.

Wise★3.5 (42)· London

Work with Python, dbt, Airflow, Kafka, Trino, and Iceberg to build high-volume streaming and batch data pipelines. You'll join the Marketing Platform team to drive data architecture for Wise’s global customer-acquisition engine, bridging platform and analytics engineering.

Barclays★3.9 (6.9k)· London

The listing does not specify any concrete technologies, languages, or tools. You will join the Liquid Financing Technology team, building and enhancing data solutions for a modern cross-asset Client Risk platform used by Front Office, Risk, Finance, and Operations teams to monitor exposures, assess risk, and meet regulatory requirements.

Beamery★4.0 (1)· London

You will work with dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Kubernetes, Python, and TypeScript/Node.js to build production ETL pipelines and an analytics layer. The data platform powers Beamery’s reporting and AI strategy, serving the company’s jobs, skills, and tasks data platform for talent lifecycle management.