Job Description

End Date

Sunday 23 August 2026

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

Flexible Working Options

Hybrid WorkingThe 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

• 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