Jobs at Lloyds Technology Centre

Leads software engineering delivery across teams, labs, and platforms. Designs and maintains complex applications, provides technical direction, conducts code reviews, mentors engineers, and may manage junior staff. Owns application health, technical debt, secure coding, DevOps practices, system design, reliability, and technology standards. Collaborates with stakeholders and architecture teams, drives innovation, supports troubleshooting and performance improvements, and ensures effective delivery through agile and traditional practices.

Leads the design, development, and delivery of scalable data products and data applications on GCP. Provides technical leadership, mentorship, and implementation oversight for data engineering teams. Establishes data modelling, quality, security, governance, DevOps, and CI/CD practices while optimizing cloud platforms. Builds AI-ready data foundations using batch and streaming technologies, resolves complex technical issues, and collaborates with stakeholders to deliver trusted data products.

Leads software engineering squads delivering secure, high-quality applications and systems using cloud, data, AI, and machine learning. Defines architecture, data models, integration patterns, automation, and engineering standards, while troubleshooting technical issues and driving CI/CD, testing, and operational stability. Collaborates on roadmaps, mentors and develops engineers, supports hiring, and delivers scalable solutions across the banking group.

Designs, develops, and maintains scalable data pipelines, ETL/ELT solutions, data models, APIs, warehouses, lakehouses, and cloud data platforms. Collaborates with Agile teams, product owners, analysts, architects, and stakeholders to deliver enterprise, analytics, and regulatory data solutions. Implements data quality, governance, lineage, testing, deployment, and automation practices while supporting modernization, migration, production readiness, and continuous platform improvement.

Designs, develops, and maintains scalable data pipelines, ETL/ELT solutions, data models, APIs, warehouses, and lakehouse platforms. Builds solutions using Azure, Databricks, and modern cloud technologies while implementing data quality, governance, lineage, testing, and regulatory controls. Works in Agile feature teams with product owners, analysts, architects, and stakeholders to deliver enterprise data products, reporting solutions, platform modernization, and analytics capabilities. Supports automation, deployment, release activities, defect resolution, and continuous engineering improvement.

Support enterprise data platforms, ETL pipelines, regulatory reporting solutions, and cloud data services. Responsibilities include monitoring pipelines, resolving incidents, performing root cause analysis, validating data quality, supporting releases, maintaining operational documentation, and improving reliability through automation. The role collaborates with data engineers, software engineers, data scientists, operations teams, and business stakeholders while participating in incident, problem, change, and on-call support processes.

Support enterprise data platforms, ETL pipelines, regulatory reporting solutions, and cloud data services. Responsibilities include monitoring production systems, resolving incidents, conducting root cause analysis, validating data quality, supporting releases, maintaining operational documentation, and automating recurring support activities. The role also manages data platform reliability, incident and change processes, regulatory and governance requirements, and service-level performance across business-critical data ecosystems.

Develops stable, scalable, secure, accessible, and testable software. Leads technical delivery at product, team, or domain level; owns application health, governance, incident root-cause analysis, and technical custodianship. Participates in code reviews, agile ceremonies, testing, automation, and continuous improvement. Mentors junior engineers, contributes to technical communities, communicates with stakeholders, and applies DevOps and AI concepts using established tools.

Leads AI and software engineering delivery for teams or labs, including technical development, application ownership, testing, security process improvement, and product specification. May manage direct reports, set objectives, provide coaching, and oversee technical outcomes. The role requires specialized AI engineering expertise, Python, CI/CD, and 6–12 years of experience.

Provides technical leadership for the Temenos Transact core banking platform. Designs, develops, optimizes, and integrates banking solutions across digital channels; mentors engineers; resolves incidents and performance issues; owns system design decisions; supports releases, upgrades, COB processing, and platform stability while collaborating with product, architecture, and integration teams.

Lead middleware modernization and migration from WebSphere ND to WebSphere Liberty for mission-critical banking applications. Responsibilities include environment management, deployment automation, CI/CD pipelines, release support, production troubleshooting, integration support, disaster recovery, performance tuning, and operational resilience across development through production environments. The role requires collaboration with engineering, infrastructure, vendors, and business stakeholders in a regulated banking environment.

Lead modern workplace engineering and provide expert second- and third-line support for endpoint services, Microsoft Intune, Windows devices, Entra ID, and Microsoft 365. Investigate complex incidents, perform root cause analysis, manage problem resolution, improve endpoint stability and employee experience using Nexthink or similar tools, automate processes with PowerShell, document solutions, and mentor engineers across workplace technology operations.

Owns end-to-end solution architecture for a bank-wide real-time customer decisioning platform. Designs integrations across GCP, Kafka, data platforms, AI and digital channels; establishes performance, resilience, security and observability standards; creates reusable architecture patterns and governance controls; and partners with engineering, product, data science, InfoSec and vendors. The role also shapes the platform roadmap, supports decisioning modernization, and ensures privacy, compliance, explainability and cost effectiveness.

Designs and governs enterprise technology solutions for a People Experience Platform. Responsibilities include solution and integration architecture, architectural decision-making, risk management, cloud design across GCP and Azure, security and resilience reviews, stakeholder engagement, and AI opportunity assessment. The role collaborates with engineers, product owners, enterprise architects, platform teams, and suppliers while maintaining design governance and supporting incremental delivery.

Develop, maintain, and support full-stack applications; write clean code, participate in code reviews, troubleshoot incidents, and apply DevOps and test automation practices. Collaborate with stakeholders and senior engineers, estimate effort for changes, mentor junior engineers, and continuously improve technical skills and resilience. Follow agile practices and group policies, and apply basic AI concepts where applicable.

Supports the Responsible AI programme and AI Centre of Excellence through tracker maintenance, reporting, SharePoint knowledge management, process improvement, stakeholder support, communications, training, and adoption activities. The role provides data and operational expertise, supports governance metrics, handles business queries, and helps refine or automate Responsible AI processes. It also requires familiarity with AI principles, MLOps, collaboration tools, reporting, AI governance, and regulated environments.

Senior Site Reliability Engineer responsible for cloud infrastructure areas, observability, operational improvements, and service-level objectives. Supervises and coaches SREs, identifies IT security and process improvements, manages technical outcomes, supports change initiatives, develops product specifications, and designs testing procedures. Requires strong experience with Terraform, Docker, Kubernetes, and CI/CD tools such as Jenkins or Harness.

Designs, develops, integrates, tests, and operates data management systems and data product features. Collaborates with data operations, software engineering, data science, and business teams to deliver roadmap initiatives. Analyzes data to identify business impacts, improves security and operational processes, coordinates cross-team work schedules, manages projects and workstreams, and provides coaching and subject-matter expertise.

Designs, develops, integrates, and tests data product features in collaboration with data operations, software engineering, data science, and business teams. Manages data management and knowledge systems, analyzes data-driven business impacts, delivers projects and workstreams, coordinates cross-team schedules, improves processes and security practices, and coaches colleagues while supporting organizational priorities.

Leads governance, executive and Board reporting, management information, transformation planning, KPI/OKR and SLA oversight across Risk and Information Security. The role establishes governance frameworks, reporting architecture, operating models, escalation processes and accountability standards; coordinates budgets, headcount and resource reporting; prioritizes requirements; oversees testing, adoption, process simplification and benefits realization; and advises senior stakeholders across a regulated organization.