You will support a low-latency Cash Equities trading platform using Unix/Linux, Python, Bash, Go, Dynatrace, Prometheus, and Grafana. The team provides Level 1/2/3 production support directly alongside front office traders, quants, and developers for a global investment bank.

You'll work with Azure DevOps Pipelines for CI/CD, PowerShell/Python/C#/SQL, Atlassian Confluence and Jira, plus cloud deployments to Microsoft Fabric/Synapse/Azure or Snowflake. As part of the Operations team at USS, a pension scheme, you'll build automation, maintain release processes, and enhance test frameworks for in-house solutions.

Work with AWS, Kubernetes, Terraform, and Python scripting to build and scale a critical platform used across a major bank. The role involves improving platform stability through technology and processes, with a security-first mindset.

Work with AWS, Azure, GCP, Terraform, Linux/Unix, Python/Go/PowerShell/Nodejs/C#, and CI/CD tools like Octopus/TeamCity/Jenkins/Azure DevOps. As a lead at a tech consultancy, you will build and run cloud infrastructure, standardise deployments, and manage a team of engineers.

Work with Terraform, Ansible, Kubernetes, Prometheus, Grafana, Python, Bash, Go, Jenkins, and both Ubuntu and Windows Server. As a member of Man Group’s Platform Engineering team, you will build and maintain infrastructure automation and self-service platforms supporting the firm’s global quantitative research and trading systems.

You will work with AWS (EC2, S3, VPC), Python or Bash, CI/CD tools (Jenkins, GitLab CI), Terraform, CloudFormation or AWS CDK, Docker, and Kubernetes. This role is on the Cloud Infrastructure team, building cloud platforms to support trading and research for a tech-driven quant and systematic hedge fund trading digital asset and crypto-related systems. You will serve trading, research, and development teams.

You will work with AWS, IAM, SCP, RCP, GuardDuty, Security Hub, Config, CloudTrail, KMS, Terraform or CloudFormation, and Python. You will secure and optimize AWS infrastructure for a global trading and investment firm’s high-performance research and trading platforms.

You will work with Kubernetes, Docker, FluxCD/ArgoCD, Helm, Terraform, Linux, CI/CD pipelines, and languages like Go, Python, or Java. The Developer Experience team owns and supports source control, build artifact repositories, AI-powered development tools, and other software delivery infrastructure for DRW's engineering community. You will also participate in a business-hours support rotation diagnosing CI workflows and managing central infrastructure.

CoreWeave's Inference team builds and operates a Kubernetes-native cloud platform for massive-scale GPU workloads (AI/ML, VFX, rendering, real-time inference). The role works with Go, Python, C++, Kubernetes, and inference frameworks like vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe, plus GPU systems (CUDA, NCCL, RDMA). It leads cross-team architecture, routing, scheduling, and performance optimization under P99 SLAs.

Python software engineering, SRE, production support, and automation tooling for a global hedge fund's Front Office trading platforms in high-performance Linux environments. Uses SQL, observability tools (Grafana, Prometheus, Splunk, Datadog, Elastic), and supports OTC markets with Traders, Portfolio Managers, and Quant Developers.

You will work with Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.

Monitor security alerts and events across enterprise systems, endpoints, cloud platforms, and networks using Microsoft GCC High, CrowdStrike, EDR/XDRs, PIM/PAM tools, SIEMs, and Azure Sentinel. You will support triage, investigation, and response activities to defend a mission-focused defense technology company with multiple offices in the US and UK.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.

NatWest Group★3.7 (1.2k)· London

You'll work with Cisco and Arista platforms, VxLAN, EVPN, Cisco Meraki, and multicast protocols to engineer and automate enterprise network infrastructure. This role supports NatWest Group's digital transformation, building secure, scalable network solutions for its financial services environment.

Fintricity★1.0 (1)· London

You will work with Python, TypeScript, LLMs, agent frameworks, RAG systems, vector databases, LangGraph, LangChain, and cloud services. The role builds enterprise-grade AI infrastructure for agentic systems, including AI gateways, model orchestration, and agent control planes at Fintricity and Kendra Labs.

You will work with AWS, Terraform, Terragrunt, Kubernetes, ArgoCD, Python, Bash, and CI/CD pipelines like CircleCI. The role involves designing and managing cloud infrastructure for public sector digital transformation initiatives, collaborating with architects and developers on mission-critical applications.

Design, build, and operate secure, scalable cloud infrastructure using AWS, Azure, or GCP, Terraform, CloudFormation, Bicep, Docker, Kubernetes, and CI/CD tools like GitHub Actions, Jenkins, or GitLab CI. This role provides technical leadership for enterprise applications and digital services, working with engineers, architects, and cybersecurity teams.

Design software using Java, C#, Python, JavaScript, TypeScript, or Go, with REST APIs, microservices, SQL databases (PostgreSQL, SQL Server, MySQL, Oracle, MongoDB), and cloud platforms (AWS, Azure, GCP). You will build enterprise applications and business-critical services across the full development lifecycle.

You will work with AWS (WAF, CloudFront, CloudTrail, GuardDuty, Secrets Manager), WorkOS/AuthKit, and CI dependency-audit tools. The team builds Palette, an urban-planning platform for biodiversity and resilience gain, owned by Kew Reach (a joint venture with Royal Botanic Gardens Kew). This is a founding sole platform-engineer role, reporting to the CEO.

You will build, support, and migrate cloud-based enterprise integrations using Microsoft Azure, including Python-based functions, CI/CD pipelines via Azure DevOps, SQL Server databases, and REST APIs. You will automate and modernize business-critical integrations and shared technical platforms for PATH, a global health nonprofit.

You’ll use Python, Docker, Kubernetes, CI/CD tools, cloud platforms (AWS, Azure, GCP), and IaC tools like Terraform or Ansible, with AI frameworks such as PyTorch or TensorFlow. As an Applied AI Engineer at Mistral, you’ll onboard customers and deploy production AI solutions across infrastructure, back-end, and front-end. No team size is stated.

Fintricity★1.0 (1)· London

Work with Python, TypeScript, LLMs (Claude, Gemini), agent frameworks, RAG, vector databases, and MCP-based tools. The team builds enterprise-grade AI infrastructure

Python and/or C#/.NET, with experience using LLM APIs, retrieval-augmented generation (RAG), prompt engineering, and agent orchestration patterns. This director-level role defines and builds WTW’s enterprise-wide AI engineering capability, creating shared frameworks, reusable patterns, and reference implementations for production-grade generative AI and agentic solutions across the company.

Work with Cisco and Arista platforms, including VxLAN, EVPN, Meraki, and traditional enterprise networking, plus automation and infrastructure as code. You'll engineer enterprise network solutions for NatWest Digital X, ensuring security, resilience, and operational requirements.

Design, build, and operate cloud infrastructure on AWS, Azure, or GCP using Terraform, Kubernetes, Docker, CI/CD pipelines (GitHub Actions, Azure DevOps), and scripting (Python, Bash, PowerShell). The role delivers secure, scalable platforms for enterprise applications and digital services, partnering with software, security, and architecture teams.