Senior DevOps Engineer

**End Date** Sunday 23 August 2026 [**We Support Flexible Working – Click here for more information on flexible working options**](http://www.lloydsbankinggroup.com/careers/culture-and-inclusion/agile-working.html) **Flexible Working Options** Hybrid Working **Job Description Summary** The Senior DevOps Engineer will hold accountability for design, implementation, maintenance and support of DevOps pipelines, tooling/automation at a Feature/Lab team level. This will include recommending the right pipeline and tooling choices appropriate for their Feature/Lab accountabilities, in line with Group Strategy **Job Description** * **Position**: DevOps Engineer  **Location**: Hyderabad  **Years of experience:**  8 – 14 years  **Band E Senior DevOps** **Role Purpose** Lead the design, build, automation, and operation of cloud-native data platforms and data products, while providing technical leadership across the Homes Data & Pricing Engineering teams. The role is expected to drive engineering excellence, platform modernisation, DevOps adoption, and operational stability **Key Responsibilities** **Engineering & Platform Leadership** * Provide hands-on technical leadership and mentoring to engineers. * Define and drive technical strategy, architectural standards, and engineering best practices. * Lead solution design for scalable batch and real-time data platforms. * Drive adoption of reusable engineering patterns and automation frameworks. * **Cloud & Infrastructure Engineering** * Design and manage secure, scalable cloud infrastructure on GCP. * Implement Infrastructure as Code using Terraform. * Manage Kubernetes-based platforms and containerised workloads. * Ensure platform availability, scalability, security, and performance * **DevOps & CI/CD** * Design and maintain CI/CD pipelines using Harness, GitHub Actions, Jenkins, or equivalent tooling. * Implement GitOps practices and deployment automation. * Improve software release processes and developer productivity. * Promote continuous integration, continuous testing, and continuous delivery. * **Data Engineering** * Deliver cloud-native data pipelines and data products. * Build and optimise data processing solutions using Python, SQL, Spark, BigQuery, and modern data tooling. * Ensure data quality, lineage, observability, and operational resilience. * Support data platform migration and modernisation initiatives. * **Site Reliability Engineering (SRE)** * Define monitoring, alerting, logging, and operational support models. * Drive reliability, resilience, and incident management practices. * Establish SLAs, SLOs, and operational KPIs. * Reduce technical debt through automation and proactive engineering improvements. * **Stakeholder Management** * Work closely with Product Owners, Engineering Leads, Architects, Security, Cloud Engineering, and business stakeholders. * Influence solution direction and manage technical dependencies across programmes such as FDP, TS1, HOMCON, and GDW Exit initiatives. * Support planning, estimation, and roadmap delivery. * **Essential Skills** * 8+ years in Data Engineering, DevOps, or Cloud Engineering. * Strong GCP expertise (BigQuery, GKE, IAM, Networking, Dataflow). * Terraform and Infrastructure as Code. * Kubernetes and Docker. * CI/CD tooling (Harness preferred). * Python, SQL, Git, DevOps practices. * Data platform architecture and solution design. * Strong stakeholder management and mentoring skills**Expected Band E Behaviours** * Own technical direction rather than individual tasks. * Lead and mentor Band D engineers. * Drive innovation, automation, and platform improvements. * Influence architecture and delivery decisions. * Operate as a player-coach, balancing hands-on delivery with leadership responsibilities