State Street★3.4 (3k)· London

You'll use SQL, Shell scripting, Python, Ansible, and ITIL to automate operations and improve production reliability. As a Production Support Engineer at State Street, you will manage application onboarding, troubleshoot incidents, and drive self-healing and resiliency patterns for the company's institutional investment services platforms.

This DevOps traineeship covers Linux, Git, Docker, container orchestration, AWS, Azure, Google Cloud, CI/CD, shell scripting, IaC, configuration management, monitoring, networking, and DevSecOps. It provides hands-on experience through realistic projects such as building CI/CD pipelines, deploying applications, managing containers, and automating processes, with no prior experience required.

You will work with Azure DevOps Pipelines, CI/CD, Atlassian Confluence, Jira, PowerShell, Python, C#, SQL, and cloud deployments to Microsoft Fabric/Synapse/Azure, Snowflake, Power BI, and application security tools. You will help build automation, CI/CD pipelines, and release processes for in-house developed solutions at the Universities Superannuation Scheme pension scheme.

Lead DevOps Engineer: work with AWS, Azure, GCP, Terraform, Linux/Unix, Python/Go/PowerShell/Nodejs/C#, and CI/CD tools (Octopus/TeamCity/Jenkins/Azure DevOps). Role is at a tech consultancy building and running cloud infrastructure, automating deployments with IaC, and managing a team of engineers.

You will work with Python, PowerShell, SQL, OMS/EMS platforms (FlexTrade, Triton, SpiderRock), Linux, Windows, cloud (AWS/Kubernetes), FIX, messaging systems, market data flows, and monitoring tools like Geneos/Zabbix. As part of a global hedge fund’s front-office technology team, you will directly support equity portfolio managers, traders, and analysts to ensure the reliability and performance of business-critical trading systems.

Work with Terraform, Ansible, Kubernetes, Python, Bash, Go, Jenkins, GitHub Actions, Prometheus, and Grafana to build infrastructure automation platforms supporting python-based quantitative research and trading systems. Manage on-premises resources across Ubuntu and Windows Server environments.

Builds cloud platforms for a systematic quant hedge fund's trading and research, using AWS (EC2, S3, VPC), Python/Bash, Jenkins/GitLab CI, Terraform/CloudFormation/AWS CDK, Docker, and Kubernetes to support digital asset and crypto systems.

You will work with Linux, AWS, Docker, Kubernetes, CI/CD pipelines, Python, Bash, and monitoring tools like Datadog, Prometheus, CloudWatch, or ELK. You will support and maintain the critical research and trading infrastructure for a quantitative hedge fund, acting as first-line support for platform-related issues.

Working with Core Python, Pandas, NumPy, Flask/FastAPI/Django, SQL, and Unix/Linux, you will build backend applications and data processing pipelines for trading and risk management within an investment banking environment, supporting risk calculations, trade workflows, and reporting.

Build and maintain scalable data pipelines (BigQuery, Cloud Composer, Airflow, Dataflow, Spark, Flink, dbt) on GCP for AI/ML experiences. Use Docker/k8s, Terraform, SQL, shell scripting, and monitoring tools (Monte Carlo, Looker, NewRelic, Splunk). Collaborate with product engineering, data science, and business teams.

NatWest Group★3.7 (1.2k)· London

You'll work with Mainframe hardware (DASD, SAN/FICON, IBM z), automation scripting (Python/Shell), infrastructure as code, GDPS, and CI/CD pipelines. As part of NatWest Digital X, you'll engineer hardware solutions for the Mainframe environment, applying automation to improve products. This technical lead role guides a team but no team size is specified.

Design, configure and manage Mainframe Hardware solutions including DASD, SAN/FICON connectivity, and network infrastructure, using automation scripting (Python or Shell). You will engineer infrastructure-as-code for the Mainframe environment at NatWest Digital X, supporting hardware migrations between IBM z Mainframes and GDPS architectures. This is a technical lead role.

Capgemini★3.7 (11k)· London

Design, build, and manage data pipelines and models using AWS Snowflake, Azure Data Lake, Databricks, Redshift, and BigQuery. Automate CI/CD with Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, and provision infrastructure with AWS CloudFormation, Docker, ECS, EKS, and Kubernetes. Capgemini is an AI-powered global business and technology transformation partner.

NiCE★3.4 (30)· London

You'll work with Python, Go, Java, C#, Bash, PowerShell, AWS (EC2, ECS, Lambda, DynamoDB), CloudFormation, Terraform, Jenkins, GitLab CI/CD, CircleCI, Docker, Kubernetes, Prometheus, Grafana, ELK stack, Cloudwatch, and optionally Grafana Observability Suite, Splunk, Datadog, PagerDuty, Rundeck, Ansible, Puppet, Chef. As an individual contributor, you'll run production, improve reliability, and support multiple large distributed software applications for NiCE, a provider of customer experience, financial crime, and public safety software.

Mott MacDonald★3.9 (699)· London

Design, build and maintain a scalable internal developer platform using Terraform, Kubernetes, Docker, and GitHub Actions, with cloud platforms (ideally Azure) and observability tools like Prometheus, Grafana, or ELK. You will work within Mott MacDonald’s Digital Unit to provide platform solutions that help clients derive value from information, supported by a global team.

You will build and operate a Kubernetes platform on Azure using Terraform, GitOps, service mesh, and observability tools like Grafana and OpenTelemetry. The platform underpins AI and automation services for a large-scale enterprise, supporting multiple engineering teams. This is a hands-on role covering infrastructure as code, CI/CD, networking, and platform reliability.

Work with AWS, Kubernetes, Docker, Terraform, CloudFormation, Python, Go, Jenkins, GitLab CI/CD, Prometheus, and Grafana. You will run production environments, build and automate infrastructure, and improve reliability for NICE’s suite of distributed software solutions.

Design, build, and operate secure Azure cloud infrastructure using Terraform, Azure DevOps, Git, and scripting (PowerShell, Bash, Python). The role supports a reinsurance organisation’s global expansion in 2026, focusing on networking, deployment automation, and enterprise standards.

Senior Python Developer role building trading and risk platforms using Python, SQL, Pandas, NumPy, Flask/FastAPI/Django, PySpark, Unix/Linux shell scripting, and enterprise platforms like Quartz or SecDB. The team develops backend services, data pipelines, and risk applications for trade lifecycle, risk calculations, and regulatory reporting within investment banking.

Work with Azure, Terraform, Ansible, PowerShell, C#, Azure DevOps, Kubernetes, and CI/CD for containerisation and infrastructure as code. You will join a growing cloud team within an unnamed client, building and managing cloud environments.

The Infrastructure Reliability Engineering Lead will lead a team of specialist engineers, implementing reliability engineering practices across infrastructure platforms for LME industrial metals trading and clearing services. The role focuses on observability, resilience engineering, automation, operational readiness, and service reliability improvement.

Appvia★0.0· London

Work with AWS, infrastructure as code, Linux, automation, CI/CD, containers, and DevOps practices within Appvia's AWS Practice. You will join a six-person cohort supporting a new platform engineering programme for a UK public sector customer.

Lead the development and operation of a large-scale AWS data platform using Redshift, S3, Glue, Lambda, Athena, EC2, Kinesis, Python, SQL, Bash, Spark, CI/CD, and DataOps. Provide senior technical leadership, mentor engineers, and oversee batch and streaming data pipelines for a major organisation.

You will work with Java, JavaScript, Python/Shell/PowerShell, AWS, CI/CD pipelines, and API/microservices debugging, with nice-to-have exposure to Docker, Kubernetes, Terraform, and CloudFormation. The role is a Support Engineer focused on technical troubleshooting across applications and infrastructure.

Work with TypeScript, Python, Node.js, Playwright, Cypress, WebdriverIO, Docker, GitHub Actions/GitLab CI, bash, and Jira to build and maintain test automation frameworks and CI pipelines for Connected TV devices.