Wise★3.5 (42)· London

Lead a growing Solutions Engineering team in EMEA, providing technical consulting and product guidance to top-tier banks integrating Wise’s international finance products via REST API. Work with RESTful design, OpenAPI, OAuth2, and microservice architecture to architect integrations and influence the product roadmap.

Goldman Sachs★3.9 (2.3k)· London

Build a high-performance, low-latency data platform for post-trade processing using Java, Kafka, Flink, SingleStore, HDFS/S3, and Scala. You will own the full lifecycle of core systems, designing distributed computation and an AI-powered UI/agent framework to deliver intelligent analytics over large-scale business data.

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.

You will design, implement and maintain high-frequency trading systems using C++ and ultra-low-latency technology. The role is with a new HFT built out of an established systematic fund, trading multiple asset classes across international markets. You join a small team working on greenfield projects with no red tape.

Develop and enhance ultra-low-latency XVA pricing services for linear products using C++. The front-office quantitative technology team focuses on sub-5ms pricing and XVA sensitivity calculations (CS01, strike). No team size or leadership scope is specified.

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.

Work with C# on .Net Framework 4.5.2+ and .Net 5+, using NUnit, xUnit, REST, Kafka/RabbitMQ, Git, and Linux. You will build Citi’s next-generation Equities technology platform for execution, clearing, and margin processes.

You will work with Core Java, Aeron, FIX, SBE, Artio, Linux, and performance profiling tools. You will join a team developing a high-performance electronic trading platform with a focus on microsecond-level latency. The role requires 5+ years of Core Java experience and 2+ years in ultra-low-latency systems.

Work with modern C++ (C++17/20, template metaprogramming), network programming, distributed computing, and Unix/Linux. You will design and build efficient code for the production trading and research system within a newly formed Low Latency Trading group at a systematic hedge fund.

You'll develop systematic HFT and market-making strategies in cryptocurrency markets using Python for research, signal generation, backtesting, and live performance analysis. Working with your own firm's capital, you'll own the full research lifecycle—from hypothesis to production deployment—optimising execution quality, latency, inventory risk and spread capture across global exchanges.

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.

As an Enterprise Sales Engineer, you will use Neo4j and the Cypher query language, Terraform for IaC, REST APIs, Apache Kafka/Confluent, plus Python, JavaScript, React and Go. You will be a trusted technical advisor, guiding enterprise customers through deploying the client’s platform for secure, governed AI, and will partner with Sales, Customer Success and Partner teams. The listing does not specify team size.

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.

Sovos★3.3 (105)· London

Design and build Snowflake architecture and dbt model infrastructure for the topline financial data chain (billing, ARR, revenue recognition) at Sovos, a global tax compliance leader. Use advanced SQL, dbt, and optionally Python, Azure/AWS, and MCP to deliver production pipelines that support FP&A, Accounting, and AI consumers through financial close.

Deepgram★3.0 (2)· London

You will work with Deepgram’s real-time speech-to-text and text-to-speech APIs, voice agent platform, and cloud or self-hosted models — guiding enterprise customers on integrations, architecture discussions, and troubleshooting. As part of the Customer Success team, you drive adoption, solve technical problems, and identify expansion within a portfolio of strategic accounts.

Deepgram★3.0 (2)· London

An AI-native Customer Success Engineer fluent in APIs and integrations, owning the full lifecycle for enterprise accounts at Deepgram, a real-time STT/TTS/Voice AI platform. You will run demos, architecture discussions, and L1 troubleshooting to drive adoption with developers and CTOs, while uncovering expansion and acting as the customer’s voice to influence product and roadmap. You own a portfolio of strategic enterprise accounts end to end.

Design and build the Snowflake schema and dbt model architecture for the financial data pipeline, owning ingestion, transformation, and close-ready outputs for FP&A and Accounting. You will also extend dbt models for OPEX, COGS, and commissions, and integrate CRM/ERP systems like NetSuite or Salesforce. This role supports Sovos’ global tax compliance platform.

You will work with C++ and Python to develop an ultra-low-latency trading engine, a research platform processing terabytes of data, and cloud-based analytics infrastructure for a systematic quant hedge fund, collaborating with traders and researchers for direct desk impact.

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.

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.

Python, React, JavaScript/TypeScript, AWS, CI/CD, and observability. Build AI-powered language learning and assessment products for a global EdTech platform, integrating LLMs into scalable cloud-native applications with chat/messaging features.

As a Backend Software Engineer, you'll use Go or Node.js to build and scale the company's core real-time messaging platform, working on low-latency Pub/Sub services and state synchronization in an AI-first engineering environment.

Okta★3.9 (70)· London

Principal Forward Deployed Engineer at Okta: work with OAuth 2.0, OIDC, SAML, SCIM, OPA, Cedar, OpenFGA, AI agent platforms, and MCP. Define canonical patterns for agent identity, delegation, audit, and kill-switches across the most strategic enterprise deployments. Own the reference architecture the FDE team builds from and shape the product roadmap.

Build and support scalable enterprise integrations using Workato, APIs, webhooks, REST, SOAP, GraphQL, OAuth, JSON, XML, SQL, JavaScript, Python, and Workato formulas. Integrations span finance, HR, CRM, document management, and analytics platforms. No team size specified.