Top Software Engineer Jobs in London

Own the technical roadmap and delivery of large-scale backend systems for Wise’s global KYC and onboarding platform. Design scalable microservices, APIs, asynchronous integrations, and database architectures while improving reliability, security, compliance, and automation. Lead complex cross-team initiatives, solve ambiguous problems, mentor engineers, and deliver customer-focused verification solutions.

Build backend and data-intensive systems for Wise’s Risk and Control Governance platform. Responsibilities include data quality monitoring, data contracts, lineage tracking, continuous control assurance, drift and coverage detection, audit trails, explainability tooling, and regulatory evidence generation. The role requires integrating governance capabilities with the Risk API while designing scalable, reliable solutions across risk domains and collaborating with Product, Financial Crime, and platform teams.

Build and scale the backend platform powering Wise’s recipient management experience. Design, deploy, and maintain distributed systems and RESTful APIs, optimize relational and non-relational databases, and develop customer-focused solutions using Java. Collaborate with product managers, designers, analysts, and engineers in an autonomous agile team. Apply best coding practices, code reviews, testable code, and Test Driven Development while contributing to technical vision and product improvements.

Build and scale Wise’s recommendation platform, APIs, onboarding experiences, and reward mechanisms. Develop distributed systems and customer-facing product experiences while collaborating with product managers, data scientists, analysts, designers, and engineers. Own projects end to end, write testable code, apply best engineering practices, improve team processes, and use customer-focused, data-driven decisions to address pain points.

Leads development of a wealth management portfolio insights platform serving advisor and account data. Designs secure Java, Spring Boot, and Python services across ingestion, reconciliation, and serving layers; works with AWS, Kafka, relational databases, and cloud-native infrastructure. Drives architecture, code quality, resiliency, automation, AI-assisted engineering practices, and resolution of complex production data-consistency issues.

Designs, develops, tests, and maintains scalable software features and services for Expedia Group’s B2B Credit platform. The role involves Java/Kotlin development, RESTful APIs, microservices, cloud platforms, architectural collaboration, production troubleshooting, code review, and improving engineering practices. The engineer partners with product, design, and cross-functional teams to deliver reliable travel technology solutions.

Designs and operates distributed database systems across query execution, transaction processing, durable storage, concurrency, replication, recovery, and upgrades. Responsibilities include improving database performance, building deterministic failure simulations, managing stateful rollouts, participating in on-call response, leading production changes and investigations, and mentoring engineers. The role requires deep systems expertise and experience operating correctness-sensitive stateful services in production.

Build and operate backend services for Wise’s banking and cash-management products. Own solutions from customer problem through production, design distributed systems, make technical tradeoffs, work across system boundaries, improve testing and observability, diagnose production issues, and mentor engineers. The role focuses on dependable services supporting funding, settlement, currency conversion, and international payments.

Design, build, test, and operate scalable Java backend services for banking and payment products. Own solutions from customer problem through production, make technical decisions, collaborate across system boundaries, improve reliability and observability, and contribute to code reviews, mentoring, and partner integrations. Work with microservices, Kafka-based event-driven architecture, PostgreSQL, and domain-driven design while supporting funding, settlement, and currency conversion capabilities.

Lead design and delivery of real-time marking, pricing, and market data platforms for Rates Nonlinear. Build secure, high-quality production code, drive AI-assisted engineering adoption, collaborate with front office and quant teams, and lead cross-functional initiatives to ensure resilient, scalable solutions across the trade lifecycle.

Leads hands-on development of secure, scalable cloud-native software, data engineering, backend systems, and AI/ML infrastructure. Designs microservices and distributed applications, builds production-scale data platforms, develops architecture artifacts, and promotes responsible AI-assisted engineering practices. Works with AWS data services, containers, Kubernetes, DevOps, and MLOps while supporting engineering standards, automation, troubleshooting, and stakeholder communication.

Leads end-to-end software engineering delivery across the SDLC for modern application platforms. Designs, builds, tests, releases, and supports scalable cloud-native solutions using Java, React, AWS, and AI-assisted engineering practices. Drives observability, automation, resiliency, root-cause analysis, and production improvements while mentoring engineers and promoting responsible AI usage, secure development, and operational excellence.

Develop and improve MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, adding query language features, optimizing database performance, diagnosing robustness issues, writing and reviewing high-quality C++ code, testing features, fixing bugs, and collaborating with engineers. The role will eventually lead major feature development and mentor new team members.

Build and maintain high-availability, high-transactional full-stack applications and scalable services for Expedia’s Property Detail Pages. Lead system and API design, data modeling, end-to-end delivery, cross-functional collaboration, technical strategy, mentoring, and operational excellence. Integrate AI/ML solutions safely and ethically, work across multiple technology stacks, and modernize legacy architectures while improving performance, scalability, reliability, and maintainability.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Own the architecture and technical direction of Wise’s FX engineering stack across market data and risk teams. Build semi-automated hedge execution, real-time Flink streaming pipelines, Kafka infrastructure, quant model production systems, and high-throughput rate services. Lead reliability, incident response, technical roadmaps, system design, and engineering mentorship while collaborating with traders, quants, and treasury stakeholders.

Design and scale distributed, event-driven systems for AML, customer due diligence, and financial crime prevention across European and UK markets. Own risk architecture end to end, make critical technical decisions, mentor engineers, partner with Product, Compliance, and Data Science, and deliver real-time, auditable risk decisions using high-throughput systems.

Own the end-to-end design, development, deployment, and operation of high-throughput, low-latency distributed pricing services. The role involves architecture reviews, API design, coding, testing, documentation, code reviews, operational excellence, resiliency, scalability, and caching. Partner with business stakeholders, solve complex technical problems, recommend architectural improvements, and mentor team members while collaborating on globally distributed Agile teams.

Lead technical design and hands-on development of secure Golang microservices. Define AI-assisted engineering practices, enforce DevSecOps and security standards, mentor engineers, own detailed designs, testing strategy, deployments, and operational reliability for OT/ICS-focused security products.

Technical lead for a Golang backend building secure, scalable microservices for OT/ICS security. Own detailed design, enforce engineering standards, drive AI-augmented development, DevSecOps, secure CI/CD, testing, and mentor engineers while remaining hands-on in code and architecture.

Leads a cloud platform engineering team, overseeing people development, technical strategy, scalable system delivery, operational reliability, incident response, and engineering standards. Partners with senior leaders to align platform roadmaps with business and regulatory objectives, drives cross-team collaboration, and manages technical risks. Establishes governance and adoption practices for enterprise-authorized AI-assisted development and SDLC automation, emphasizing security, responsible AI, resiliency, measurable outcomes, and reuse of technology assets.

Design and build public-facing APIs, scalable event-driven microservices, and KYC onboarding services for Wise Platform partners. Own technical roadmaps, improve reliability, scalability, security, and data management, and influence product strategy. Lead cross-team initiatives, mentor engineers, and promote clean, tested, high-performance code while collaborating with product, analytics, compliance, and operations teams.

Lead hands-on engineering for an enterprise LLM Suite platform, designing and delivering production-grade AI/ML, GenAI, and agentic systems. Responsibilities include architecture ownership, secure Python and FastAPI development, microservices and API implementation, cloud-based integrations using Azure OpenAI and AWS Bedrock, operational stability, resiliency, CI/CD, and collaboration across engineering teams. The role also explores agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Lead backend development of Aether's core platform: design and build high-performance APIs, implement complex business logic, scale services for 3D modeling, simulation, and proposal workflows, and influence system architecture in an early-stage environment.

Build Ledgy’s AI systems, including its in-app agent, MCP server, agent tools, evaluation infrastructure, and reusable AI platform capabilities. Design orchestration, context, prompting, state, streaming, observability, and safe execution over live equity data. Improve agent quality through evaluations, tracing, regression testing, and customer feedback while managing reliability, cost, and latency. Collaborate with engineering, product, design, and customers, contribute to architecture, and mentor other engineers.