Top Tech Jobs & Startup Jobs in London

Build scalable quality engineering infrastructure, backend services, APIs, and microservices for cloud-native banking technology. Develop AI-assisted testing and developer tooling, CI/CD-integrated reliability metrics, observability pipelines, fault-injection systems, and performance testing strategies. Partner with engineering and product teams, resolve complex defects, champion testability and engineering excellence, and mentor junior and mid-level engineers.

Own and improve Thought Machine’s Workday HCM and broader People technology ecosystem. Responsibilities include system administration, configuration, integrations, reporting, automation, security, vendor management, stakeholder requirements, process improvement, training, and support for HR processes such as onboarding, performance cycles, pay reviews, and reporting.

Own and optimize Workday Financials, including administration, integrations, reporting, business processes, security, compliance, and support governance. Drive automation, AI adoption, reliable financial data, audit readiness, and scalable finance infrastructure. The role also manages documentation, training, vendor relationships, third-party SLAs, stakeholder change requests, and future finance systems projects.

Leads a security engineering team responsible for defining and delivering the security roadmap, designing secure cloud services and platforms, and implementing security tooling. The role combines people management, technical leadership, roadmap and product strategy contributions, design reviews, code reviews, hands-on engineering, recruitment, process improvement, and engineer development. Candidates need experience managing product-aligned engineering teams and securing modern cloud-native technology stacks.

Leads strategic, cross-functional initiatives within the CTO Office, including GenAI adoption, engineering operations optimization, operational metrics, executive reporting, and client engagement preparation. The role manages competing priorities, aligns engineering and business stakeholders, improves workflows, removes bottlenecks, and supports high-impact organizational initiatives in a fast-paced technology environment.

Designs, deploys, optimizes, and troubleshoots cloud infrastructure for Thought Machine Vault implementations. The role partners directly with client engineering teams across the full project lifecycle, covering infrastructure preparation, high availability, disaster recovery, monitoring, security, deployment, and production support. It also contributes to presales consulting, client feedback, product improvements, and collaboration with internal engineering, SRE, architecture, and commercial teams. Travel to client sites may reach 25% of working time.

Senior Site Reliability Engineer responsible for maintaining and improving production infrastructure supporting cloud-based core banking and payments platforms. Duties include designing resilient systems, disaster recovery, backups, redundancy, capacity planning, automation, observability, on-call support, production maintenance, documentation, and reliability-focused product development. The role also involves mentoring engineers, collaborating with product teams and customers, and managing complex fleet operations across SaaS environments.

Build and maintain reliable infrastructure management tooling for cloud-based banking software. Responsibilities include automating deployments, developing observability and orchestration tools, supporting scalable and highly available services, contributing to disaster recovery and backup strategies, and improving code quality and engineering processes. The role uses Python or Golang and involves cloud platforms, databases, event streaming, container orchestration, and CI/CD systems.

Build and scale Thought Machine’s cloud-agnostic infrastructure platform for global banking software. Responsibilities include developing orchestration and automation tools, designing resilient architectures and disaster recovery systems, improving observability, and optimizing databases and event-streaming platforms. The role requires production infrastructure engineering with Python or Golang, Kubernetes and Docker expertise, and experience extending tools such as Prometheus, OpenTelemetry, and Grafana.

Lead planning and delivery of complex, multi-team engineering programmes. Set milestones, coordinate cross-functional teams, communicate priorities across the company, drive outcomes, improve processes and tooling, and ensure quality and reliability within a modern microservice-based stack.