Full-stack Java development on Linux/Unix, using AI coding tools like Claude Code, Windsurf, Devin, or GitHub Copilot. The role is for Ascendion, a technology services company.

DeepL★3.8 (4)· London

You'll work with C# / .NET, RESTful APIs, distributed architectures, and optionally React/TypeScript, plus MCP, CLIs, OAuth, and AI coding tools. You join the API Enterprise team, which builds enterprise adoption features (usage insights, cost controls, RBAC, compliance, data residency) for DeepL's Language AI API platform.

Develop core eTrading MI & Analytics platform components using q and kdb+, with CI/CD, TDD/BDD, and an additional programming language. The platform captures, stores, and analyses over 3TB/5 billion daily records from electronic trading venues for risk, quant, trading, and sales stakeholders.

You will work with Rust, Java, C++, KDB, event-sourcing microservices, Linux, TCP, and kernel-bypass networking (Solarflare OpenOnload). The High Performance Architectures team builds low-latency application frameworks and supports modernisation for over 100 eTrading teams across Citi.

Build microservices-based event sourcing systems on an in-house low-latency framework using Java, Rust, C++, KDB, and market data technologies within Citi’s London High Performance Architectures team. The team provides application frameworks and modernization support to over 100 teams, with a focus on low-latency algorithmic trading platforms in Markets Technology.

Develop low-latency server-side Java components for a global eTrading and eRisk platform serving FX and electronic execution. You’ll work with enterprise messaging (multicast, low-latency), FIX protocol, kdb+, and apply CI, TDD/BDD. The team builds distributed systems for pricing, order execution, and algorithmic trading.

Java back-end developer using microservices, REST APIs, AWS (Lambda, EKS, RDS, S3, MSK), CI/CD, and AI tools (GitHub Copilot, LLMs). Builds next-gen trading and cash management systems for the Short-Term, Cash, and Collateral desks, modernizing platforms and migrating to AWS.

The role involves working with Java (server-side, multithreading), kdb+/q, Python, and CI/CD/testing frameworks. It sits within a specialist team that builds low-latency pricing, eTrading, and eRisk components for Rates and FX products, covering forwards, futures, swaps, bonds, and eCommerce quoting.

Work with Java, GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces (Gemini, OpenAI, Claude, Llama), Docker, Kubernetes, and CI/CD. Build high-performance, real-time FX risk management systems for a greenfield platform with a 10+ year strategic commitment. As a VP, lead end-to-end delivery and technical direction.

You'll use Python daily, with KDB and SQL useful. You'll build a Vol Alpha library for equity-derivatives volatility strategy development and backtesting, working with portfolio managers on dispersion and relative-value strategies. You'll join a new specialist team of engineers, quants and data scientists.

Use Python and GitHub Copilot to build next-generation internal platforms for a major investment bank. You'll join engineering teams modernising critical banking technology in areas like Global Markets, Regulatory Technology, Front Office, security, and AI-enabled Proof of Concepts.

Senior WordPress Developer role: build bespoke WordPress sites and apps using PHP, MySQL, ACF, WooCommerce, Gutenberg, JavaScript (ES6+), SASS/SCSS, Git, Composer, npm, Vite, CI/CD. You’ll also drive AI-assisted development (RAG, MCP, Copilot) and mentor junior developers.

DeepL★3.8 (4)· London

You will work with C#, Python, and JavaScript to build full-stack features on the Media Translation team, which develops DeepL’s core translation products—including the consumer web translator, Enterprise Customization Hub, and multimedia localization flows.

DeepL★3.8 (4)· London

You will work with C#/.NET Core, Python, React, and Kubernetes, plus AI-assisted tools like Copilot and Claude. You’ll ship end‑to‑end user‑facing features for DeepL’s Language AI platform, which provides human‑like translation, improved writing, and real‑time voice translation to millions of users and businesses globally.

DeepL★3.8 (4)· London

You will work with React, C#/.NET, and AI-powered tools like GitHub Copilot and Claude, building full-stack Enterprise features. The team, part of DeepL’s Business Acceleration Track, architects the company’s revenue and billing systems, including Identity & Access Management and subscription architectures for global enterprises.

DeepL★3.8 (4)· London

Work with React, TypeScript, Node.js, WebRTC, WebSockets, and streaming architectures. You will join DeepL Voice, building real-time interpretation features for fluid conversations and audio streams. This is a 0-to-1 engineering environment in a cross-functional squad.

DeepL★3.8 (4)· London

Work with C#/.NET Core, Python, Kubernetes, and React on DeepL’s Language AI platform—building translation, writing, and real-time voice solutions used by over 300 million users globally. You will own revenue-critical systems end-to-end, from architecture to production.

Morgan Stanley★3.8 (5.4k)· London

Work with AI coding tools (e.g., GitHub Copilot, Codex, Cursor, Claude Code) and modern engineering workflows (PRs, CI/CD) to drive adoption across the Firm. This role sits in the Firmwide developer tools group, MSDE, which shapes the SDLC for 25,000+ developers.

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.

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.

You will work with .NET, Java, Python, TypeScript and AI coding tools such as GitHub Copilot, Claude Code or Codex. You will lead a small engineering team driving an AI-first transformation at a growing technology business, shaping engineering strategy and building modern, AI-ready foundations.

Use Python, C#, .NET, TypeScript, React, Angular, SQL, PySpark, and agentic development tools (e.g., GitHub Copilot). You will be a Software Engineer III on the LNIP intelligence core platform, developing a semantic search API and maintaining an internal data curation tool.

Design guardrails and tooling for safe enterprise AI-assisted development using Claude Code, GitHub Copilot, CI/CD, and observability stacks. Research, prototype, and implement controls across developer environments and pipelines to enable engineers to use agentic tools effectively.

UBS★3.8 (2.5k)· London

Python essential; KDB/Java/C++ beneficial; Unix systems and DevOps a plus. You will join the CRB desk within UBS Global Markets, managing the team book and automated processes, applying a data-driven systematic approach to trading, and designing/backtesting trading strategies in Equities, ETFs, and Delta1.

You'll work with Claude Code, GitHub Copilot, and CI/CD tooling to design and implement guardrails, controls, and engineering practices for safe AI-assisted development in an enterprise environment, spanning local development, cloud platforms, and security.