Jobs at Lloyds Technology Centre

Level 2 Cloud Compliance DevOps Engineer assists senior engineers to design, develop, and maintain software. Responsibilities include writing and reviewing code, troubleshooting and live service support, applying DevOps practices, participating in incident RCA, supporting test automation, and collaborating with stakeholders while developing technical skills and following security and AI usage guidelines.

Lead and deliver engineering work as a senior individual contributor: write and maintain reliable, scalable code; perform code reviews; mentor junior engineers; support live services, incident analysis, debugging, test automation, and DevOps practices; apply basic AI concepts and system design to solve complex problems; collaborate with stakeholders and follow agile and traditional delivery practices.

Designs and develops AI/ML solutions (feature selection, model selection, training, prompting, fine-tuning) and validation frameworks. Analyzes data from diverse sources to identify business impacts, coaches/manages a small team, improves processes (including IT security), delivers elements of strategic planning and change programs, and manages knowledge and performance within assigned area.

Lead optimisation of end-to-end finance data and customer journeys, support migration to cloud architecture, collaborate with Product, Experience Design and Engineering, analyse data and processes, create journey/process maps, drive continuous improvement and cross-functional alignment, coach colleagues and deliver change outcomes for the Finance Data Transformation Lab.

Design, develop and integrate data products and pipelines on GCP. Collaborate with engineers, data scientists and SMEs to deliver medium-scale projects, improve data governance and IT security processes, coach team members, and coordinate cross-team schedules to meet business priorities.

Develop, maintain, and support .NET applications using MS SQL and DuckCreek. Implement observability (logging, monitoring, alerting), troubleshoot incidents, participate in code reviews, apply DevOps principles, and use test automation. Collaborate with stakeholders, support live services, perform root-cause analysis, and mentor early-career engineers.

Lead technical development and delivery across teams and platforms. Design, build and maintain complex software, enforce code quality, mentor engineers, manage junior reports, drive CI/CD and DevOps practices, improve performance and reliability, influence technical strategy, and own application health and engineering standards.

Lead DevOps practices across hybrid cloud platforms: build and deployment automation, CI/CD pipeline delivery, observability, test automation, and collaboration with cross-functional agile teams to improve resilience and release frequency.

Lead and manage engineering teams to deliver strategy and commitments. Provide technical guidance on AI and engineering choices, develop budgets, compliance and IT security policies, implement development frameworks, oversee data and knowledge management systems, mentor staff, and optimize resources while delivering change projects.

Develop and maintain full-stack applications using React and TypeScript. Write clean, tested code, participate in code reviews, support live services, troubleshoot issues, and apply DevOps and test automation practices. Collaborate with stakeholders, mentor junior engineers, estimate effort for changes, and lead small technical initiatives to improve security, resilience, and performance.

Lead front-end engineer responsible for designing and delivering stable, scalable, performant, and accessible web applications. Own technical delivery, mentor junior engineers, participate in reviews and incident analysis, apply DevOps and test automation, and drive reuse, automation, and continuous improvement across the team.

Coordinate integration dependencies between the Lab and external stakeholders, manage complex/high-risk implementations, catalogue and mitigate blockers, liaise with suppliers and business stakeholders, lead SI processes across shared infrastructure, and provide governance expertise to support safe delivery and pace.

Design and deliver end-to-end AI-enabled solutions focused on NLP and Document AI. Build scalable data pipelines (batch/streaming), integrate LLMs and RAG, implement production-grade software on cloud (GCP), containerise services, enable CI/CD, ensure observability and performance, and collaborate with product owners and data scientists.

Lead quality engineering within a multi-skilled feature team: design, build and maintain test automation frameworks (Playwright, Java/JS/TS), implement CI/CD and cloud testing, perform non-functional testing (performance, security, accessibility) and API testing, define testing procedures and product specifications, drive process improvements, and manage/mentor direct reports.

Lead resolution of complex service issues and escalations for Genesys-based contact centre solutions. Integrate Genesys Cloud via APIs, design and optimise IVR/chat/email/SMS/WhatsApp CX flows, deliver training, track budgets and suppliers, propose process improvements, and contribute to service strategy and small-scale change programmes.

Develop, maintain, and support software with guidance: write clean code, participate in reviews, troubleshoot live systems, apply DevOps and test automation, collaborate with stakeholders, mentor junior engineers, and lead small technical initiatives.

Lead quality engineering within a multi-skilled feature team: design and deliver automated and non-functional testing (API, performance, security), use test management tooling and Cyara, drive improvements, define test procedures/specifications, manage/direct reports, and share knowledge across the QE community.

Define test coverage and design test procedures based on acceptance criteria. Perform automation and exploratory testing within a cross-functional feature team, identify process shortcomings, address IT security non-compliance, coach colleagues, and supervise junior transactional work while managing risk and maintaining documentation to organisational standards.

Assist senior data engineers to design, develop, and maintain data product pipelines. Build and operate GCP-based data solutions using BigQuery, SQL, Python, Dataform/DBT, Dataproc, and Cloud Composer. Support colleagues in using data management systems, identify process improvements, and follow established project and change-management procedures.

Senior SRE accountable for cloud infrastructure areas, supervising SREs, improving observability and SLOs, managing data management operations, proposing IT security and process improvements, delivering change and risk-managed outcomes, and defining product specifications with testing procedures.