Design, build, and operate a Kubernetes-based MLOps platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. The platform supports the full model lifecycle—experimentation, deployment, and scalable inference—for AI, ML, and LLM workloads in production.

You'll build and operate a Kubernetes-based AI/ML platform using Helm, Terraform, Kubeflow, KServe, vLLM, and JupyterHub. This role focuses on creating infrastructure, tooling, and guardrails so MLOps and data science teams can reliably deploy and serve models at scale.

Citi★3.9 (21k)· London

Backend Java developer building the Citi Integrated Digital Assets Platform (CIDAP) using Java Spring, web3 libraries (Web3J/Web3JS), Solidity, and containerized DevOps tools (Git, Jenkins, Helm).

Citi★3.9 (21k)· London

Work with Solidity, Web3J/Web3JS/Ethers.js/Viem, Java/Spring, Node.js, and blockchains such as Ethereum, Hyperledger Besu, Canton, and Solana, using Hardhat/Foundry/Truffle for testing. Contribute to Citi's Integrated Digital Assets Platform (CIDAP) building Web3 components for tokenization, smart contracts, and on-chain settlement.

You will work with AWS, Kubernetes, Terraform, Python, Java or Scala, and AI-driven development tools (Claude, LLMs). You will build and maintain the distributed-compute and data-science platform that powers Macquarie's trading and analytics workflows, collaborating with quantitative analysts and trading desks.

Work with Kotlin, Java, Spring Boot, microservices, REST APIs, Node.js, TypeScript, Express.js, Nunjucks, AWS/Azure/GCP, Docker, Kubernetes, Terraform, and CI/CD tools. You'll build secure, scalable digital services on large-scale transformation programmes for the Public Sector and Healthcare within Agile, multidisciplinary teams. Mentoring other engineers is expected.

Design, build and deploy production Generative AI applications, LLM-powered solutions and agentic frameworks using Python, LangChain, LangGraph, and OpenShift. You will automate enterprise workflows with intelligent agents, working with PostgreSQL and pgvector as part of Citi’s COO-Technology team building scalable AI for global operations. This is an Individual Contributor Staff Engineer role.

You will build AI-powered products and platforms using Golang, Kubernetes, and cloud-native microservices. This role is on Citi’s AI Product & Platform team within the Chief Technology Office, creating scalable backend services and APIs for enterprise AI applications.

Work with Kubernetes, Helm, Argo CD, GitOps, HashiCorp Vault, Prometheus, Grafana, Open Policy Agent, and Backstage to build and manage microservices configurations. The Webex Engineering Group owns the design and delivery of Kubernetes-based configurations for products like Webex Meetings, Webex Calling, and Webex Contact Center.

Design, code, and deliver Kubernetes-based microservices configurations using Kubernetes, Helm, and Argo CD within a GitOps model. You will use Prometheus, Grafana, Open Policy Agent, and HashiCorp Vault to ensure reliability, governance, and secure secrets management while advancing a self-service platform with Backstage. The team builds Webex Meetings, Calling, and Contact Center for the Webex Engineering Group.

Cisco★4.1 (6.7k)· London

Kubernetes, Helm, Argo CD, GitOps, HashiCorp Vault, Prometheus, Grafana, Open Policy Agent, Backstage, and CI/CD tools. As part of Cisco's Webex Engineering Group, you will own configuration quality and reliability for collaboration products such as Webex Meetings, Calling, and Contact Center.

Cisco★4.1 (6.7k)· London

Design, codify and deliver Kubernetes-based microservices configurations using Kubernetes, Helm, Argo CD, and Backstage. Apply progressive delivery via canary releases, manage secrets with HashiCorp Vault, and use Prometheus and Grafana for observability. You will support the Webex Meetings, Calling, and Contact Center products within Cisco's Webex Engineering Group.

You'll work with Java, Go, Kubernetes, Prometheus, Grafana, Helm, and chaos-engineering tools to design and execute automated reliability tests and fault injection experiments on Camunda 8, the enterprise platform for agentic orchestration that coordinates AI agents, people, and systems across business processes.

You will work with Java 21, Kotlin, REST APIs, PostgreSQL, MongoDB, Couchbase, Kafka, Docker, Kubernetes, and CI/CD tools. As part of Citi’s Developer Enablement team, you'll build and automate the bank’s strategic release management platform (Release on Demand) and a greenfield SDLC automation initiative, both used by 30,000 internal engineers.

Work with Golang, Kubernetes, gRPC, RESTful APIs, HashiCorp Vault, and cloud-native tooling to build AI-powered platforms. The team, part of Citi's Chief Technology Office, defines the bank's tech and engineering strategy by engineering cutting-edge products at planetary scale.

Infrastructure engineers at Writer use AWS, GCP, Azure, Kubernetes, Helm, Terraform, Python, and Go to build resilient, automated systems for the company’s enterprise AI platform. The role ensures 24/7 availability and reliability for customers like Mars and Marriott. The team reports to a director of engineering.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

Wipro★3.8 (17k)· London

As a Release Engineer at Wipro, you will work with GitHub Actions, AWS, Azure, GCP, Kubernetes, Docker, Helm, Kustomize, Liquibase, Flyway, and Git branching strategies (GitFlow, Trunk Based Development). You will lead technical cutover and command centre operations, coordinating runbooks, rehearsals, and rollback plans for live system deployments.

You will work with Go, cloud environments (AWS, Azure, Google Cloud), APIs, backend services, Docker, Kubernetes, and TDD. As a Senior Software Engineer at YLD, you’ll join a client team building innovative products as part of a remote-first consultancy.

You'll work primarily in Go building scalable backend services and APIs for a regulated fintech company's retail app, business account services, and internal admin systems. The tech stack includes AWS, Docker, microservices architecture, REST/gRPC APIs, and relational/NoSQL databases. You'll join a collaborative engineering team, contributing to architectural decisions and engineering standards as the business scales.

Senior Golang engineer role on the Payment Performance team, building routing algorithms that combine ML/RL and manual knowledge to increase payment success probability in real time. You will work with Golang, AWS, microservices, HTTP, gRPC, and CI/CD, maintaining high throughput, 99.99% reliability, and sub-100ms latency.

Work with Go, cloud environments (AWS, Azure, Google Cloud), APIs, backend services, SaaS platforms, Docker, Kubernetes, and TDD. As part of a client team at a remote-first consultancy specializing in software engineering, product design, and data, you will build innovative digital products.

You'll work with Python or TypeScript (Rust/Golang/Java desirable), the GitHub ecosystem, Claude Code or Codex, CI/CD pipelines, and MCP servers to architect and integrate AI-driven workflows, including coding agents and prompt libraries, across the Software Development Life Cycle for large enterprise environments.

You will work with the GitHub ecosystem, Python/TypeScript, Claude Code, Codex, Copilot, CI/CD pipelines, and Model Context Protocol (MCP) servers. The role builds custom AI coding agents, multi-step agentic workflows, reusable Skills libraries, and PromptOps standards, integrating AI-assisted development across the full SDLC.

Lead a team building enterprise-scale AI platforms for a top-tier hedge fund, using Python, C#, Scala, Java or Go; LangChain, LlamaIndex, Claude Code, Aider; MLflow; SQL, Pandas, Polars, Snowflake, Vector Databases; Docker, Kubernetes, Helm, Flux; and Airflow, Dagster, DBT. You'll architect multi-agent systems, orchestration frameworks, and production AI applications to transform investment workflows.