Citi★3.9 (21k)· London

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), Chromium/Electron/OpenFin, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD with Jenkins. The team delivers pricing solutions and trading GUIs for Citi’s Foreign Exchange business. You will provide technical leadership, mentor junior engineers, and drive AI integration.

Trainees will learn Linux, Git, Docker, AWS, Azure, Google Cloud, CI/CD, and Infrastructure as Code. The program provides structured training and practical DevOps projects to build a portfolio. No prior experience is required.

Build enterprise-grade web applications using Python (Django/FastAPI), React, TypeScript, and PostgreSQL. Develop RESTful APIs, responsive UI components, and contribute to system design, CI/CD pipelines, and performance optimization.

You’ll work with Python (Django/FastAPI), React, TypeScript, PostgreSQL, REST APIs, and CI/CD. You’ll own end-to-end feature delivery on scalable, enterprise-grade web applications.

You will architect Citi's Release on Demand platform, defining architecture, scalability, reliability, observability (tracing, logging, metrics), and E2E testing. The platform codifies governance and automates SDLC deployments for internal engineers. You'll lead a small, agile team distributed across Belfast, Canada, and London, mentoring engineers and owning the technical roadmap.

You'll work with Python (Pandas, Arrow, Spark) and potentially Lakehouse tools (Delta Lake, Databricks, AWS). Joining Global Data Engineering, you provide first-line support for a high-frequency trading market maker, ensuring robust data pipelines and APIs for trading teams.

You will work with Python, LLMs, agentic workflows, retrieval-augmented generation (RAG), and internal AI platforms. The Tactical AI Automations team deploys and supports AI tools across PIMCO's Portfolio Management and Analytics groups, including operational support for Lane Assist and POET (portfolio optimization tools).

Work with Azure, Terraform, Azure DevOps, container platforms, and AI agents to build and automate cloud infrastructure. You will design deployment pipelines, observability, and engineering tooling that enable rapid delivery of both AI-powered and traditional cloud-native 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.

JPMorgan★3.9 (20k)· London

You will work with Python, AWS, EKS, Docker, Kubernetes, Kafka, and MLOps tools. As a member of the Applied AI/ML Software Engineering team within CIB Security Services Technology, you will build cloud-based frameworks for hosting machine learning models alongside Data Scientists to integrate AIML solutions into production systems.

Perk★4.3 (50)· London

Senior engineers work with AI-connected Notion, Jira, GitHub and Slack, plus frontend patterns (state management, E2E/Cypress), backend techniques (API versioning, caching, data migration), and CI/CD. They join a cross-functional squad with ownership of a domain within Perk’s intelligent travel and spend management platform.

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.

Insulet Corporation★3.1 (189)· London

Lead a globally distributed MuleSoft engineering team owning the AI Enablement Integration portfolio. The role works with MuleSoft Anypoint Platform, AI Gateway, Model Context Protocol (MCP), Agent Fabric, CloudHub 2.0, and Flex Gateway to make enterprise systems and APIs securely available to AI agents and automation platforms.

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.

Atos★3.5 (3.2k)· London

You will work with **Java, Spring Boot, React JS, AWS Cloud, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git, and Jest**. The team supports, enhances, and modernizes complex enterprise applications as part of large-scale digital transformation and cloud migration programs at Atos, a global digital services provider.

Infosys★3.8 (17k)· London

You will work with Java, Spring Boot, Hibernate, JPA, React/Angular/Vue.js, HTML5, CSS3, JavaScript, RESTful APIs, SQL/NoSQL databases, Git, and CI/CD tools on cloud platforms (AWS, Azure, GCP). As a Senior Consultant at Infosys, a global digital services and consulting firm, you'll contribute across the consulting lifecycle—defining problems, proposing solutions, and guiding development, configuration, and deployment while mentoring teams and shaping client-focused solutions. Docker and Kubernetes experience is a plus.

Work with Python, Pandas, NumPy, Scikit-learn, SQL, LLMs, RAG, and MLOps to design, build, and deploy enterprise-scale AI/ML solutions improving operational efficiency, service resilience, and customer outcomes at LSEG, a global financial markets infrastructure and data business.

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.

You will work with Java, Spring Boot, React JS, JSF UI, AWS, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git and Jest. The team supports, enhances and modernizes complex enterprise applications and large-scale digital transformation initiatives for the company's global clients.

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.

Use C++, Linux, networking, cloud technologies, and DevOps/SRE tools to design and optimise low-latency trading systems for a global quantitative hedge fund. You will work directly with traders to enhance the performance, scalability, and resilience of high-frequency electronic trading platforms.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.