Hudson River Trading★4.5 (2)· London

You will write and maintain critical trading infrastructure using C/C++ or Python on Linux, working closely with engineers who design trading algorithms in a fast-paced, real-time environment. The role is with Hudson River Trading, a firm that brings a scientific approach to trading financial products.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

Advanced Python (object-oriented design, performance optimisation, testing), SQL, and exposure to distributed systems, APIs, and cloud environments. You will design, build, and maintain Python-based pricing and analytics libraries for front-office teams, implementing models for risk, valuation, and P&L analysis. Quanteam provides high-impact consulting in quantitative finance, risk, data, and technology.

You will work with Python, C++, HPC, and distributed systems to build tools for quant research, signal generation, and large-scale data pipelines. The team develops the infrastructure powering trading signal research, letting researchers and traders test and scale strategies across global markets.

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.

Design, build, and optimize large-scale HPC/AI infrastructure using GPU optimization (CUDA, NCCL, GPUDirect RDMA, NVLink). You'll work with triple-digit petabyte-scale storage and massive CPU/GPU clusters, using Python, C/C++, and Linux in globally distributed data centers. This role covers HPC cluster design, performance tuning, and automation for thousands of nodes.

You will build and optimise low-latency trading system components in modern C++ for a fully automated electronic trading platform. You will design real-time infrastructure for market data ingestion, order execution, and exchange connectivity, working with quantitative researchers and traders.

Build ultra-low-latency, high-throughput systems using Rust in production, with additional exposure to C#, C++, FPGA, kernel bypass (DPDK, RDMA). The systems power trading across traditional markets and digital assets at firms operating in HFT, crypto exchanges, and DeFi infrastructure.

Luxoft★4.5 (669)· London

Lead Python engineer designs, builds, and maintains risk engineering systems for a global commodity trading company, working on commodities risk and market data pipelines. Uses Python, AWS/GCP/Azure, CI/CD, containerization, and AI-assisted tooling. Collaborates with quants, traders, and risk managers in a high-velocity delivery environment.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

Palantir★3.9 (37)· London

Interns contribute to shared infrastructure powering Palantir Foundry, Gotham, and Apollo, plus internal tools like Rubix and Mission Manager. Work spans backend, developer, frontend, or storage infrastructure using Java, C++, Python, TypeScript, or JavaScript, alongside Kubernetes, observability tools, and production PaaS.

Palantir★3.9 (37)· London

You’ll work with Java, C++, Python, TypeScript, JavaScript, Kubernetes, Cassandra, Chromium, and open-source tools. As a new-grad infrastructure engineer, you’ll contribute to the shared infrastructure behind Palantir Foundry, Gotham, and Apollo—platforms deployed at key public- and private-sector institutions—as well as to Rubix and Mission Manager for sensitive environments. Teams are small, focused on backend, developer, frontend, or storage infrastructure, or on production infrastructure including a Kubernetes-based PaaS, Apollo, and Signals.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Microsoft★4.2 (9k)· London

This role involves coding in C, C++, C#, Java, JavaScript, or Python, applying AI, LLM tooling, and CI/CD practices. Engineers join a cross-functional team of software engineers, data scientists, and designers to build production-ready, AI-powered solutions for strategic customers, owning end-to-end system design for cloud and AI workloads.

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.

Lead a team of 7 engineers building and evolving an existing Rust-native systematic options trading platform for automated quoting, execution, pricing, and risk controls. You’ll work with Rust, C++, C, PostgreSQL, gRPC, and Node.js-based services. The team is part of Keyrock, a digital asset market maker and liquidity provider.

You will work with modern C++ (C++17/20), KDB/Q, PyTorch, pandas, Apache Arrow, Git, CMake, Ninja, and profiling tools (perf, valgrind, flame graphs). The role builds high-performance, low-latency applications processing large volumes of real-time data, optimizing algorithms, networking, and OS interaction.

You will write performance-critical software in Rust, working across backend services, APIs, and infrastructure—with frontend in React/Next.js/TypeScript when needed—for a global financial services firm. The stack includes Tokio, Azure, Kubernetes, Python, SQL, and CI/CD tooling. This is an early-career engineering role with end-to-end ownership.

You will lead a small engineering team building mission-critical trading systems using C++ and low-latency architecture for a global quantitative trading firm (HFT). The role is 70% hands-on development and 30% technical leadership, focusing on performance and reliability of core trading infrastructure.

Work with Python, C++, Java, C#, C, Objective-C, and optionally JavaScript, Docker, Kubernetes, Jenkins, Git, AWS or MEAN stack. You will develop and maintain bespoke software for a team delivering secure, mission-critical technology solutions supporting government and national security programmes.

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.

Work with Rust, Java, C++, Python, Docker, and Linux in an agile team designing, developing, and testing features for Webex Meetings, Webex Calling, and Webex Contact Center. The role also involves managing a highly available microservice architecture as part of an on-call rotation.

Amazon★3.5 (56k)· London

You will architect and build a real-time middleware and runtime platform using Rust, C/C++, or Python, integrating industrial protocols like IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, and IO-Link. This platform powers the industrial control systems across AWS Data Centers, connecting industrial hardware to cloud services. As the technical lead, you will own the platform’s architecture, set multi-quarter strategy, and mentor junior and mid-level SDEs.