Senior DevOps Engineer

End Date

Sunday 23 August 2026

We Support Flexible Working – Click here for more information on flexible working options

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 skillsExpected 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