3 of 3 Deployment Automation Jobs in West End of London

environments - Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines - Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews, code reviews, pairing, debugging, and hands … reviews, technical design reviews, automated testing, observability, monitoring, and operational excellence - Champion machine learning operations practices including model lifecycle management, prompt versioning, automated evaluation, deployment pipelines, monitoring, and continuous improvement - Partner with product managers, data scientists, machine learning engineers, engineering leaders, and business stakeholders to translate strategic priorities into ...

requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Drive improvements in latency, throughput, and stability across high volume trading applications. Build … contribute production grade code. Experience with microservices, distributed systems, and event driven architectures. Strong understanding of CI/CD pipelines, automated testing, and deployment strategies. Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly ...

performance, and availability. Implement production changes and deliver timely resolution to production issues, including clear root-cause ownership and follow-through. Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure. Uses enterprise-authorized AI capabilities within the work environment … considers upstream and downstream data and systems or technical implications and advises on mitigation actions Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations. Required qualifications ...