
Senior DevOps Engineer
Lloyds Banking Group2 hours ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Provide hands-on technical leadership and mentoring to engineers, including Band D engineers.
- Define technical strategy, architectural standards, engineering best practices, and reusable automation patterns.
- Design and manage secure, scalable GCP infrastructure using Terraform, Kubernetes, and containerized workloads.
- Design and maintain CI/CD pipelines and deployment automation using Harness, GitHub Actions, Jenkins, or equivalent tools.
- Build and optimize cloud-native data pipelines and data products using Python, SQL, Spark, BigQuery, and modern data tooling.
- Drive data platform migration, modernization, software release improvements, developer productivity, and DevOps adoption.
- Define monitoring, alerting, logging, incident management, SLAs, SLOs, and operational support models.
- Collaborate with product owners, engineering leads, architects, security, cloud engineering, and business stakeholders on solution direction and technical dependencies.
- Support planning, estimation, roadmap delivery, and technical improvements across FDP, TS1, HOMCON, and GDW Exit initiatives.
Requirements
- 8–14 years of experience in Data Engineering, DevOps, or Cloud Engineering.
- Strong GCP expertise, including BigQuery, GKE, IAM, Networking, and Dataflow.
- Experience with Terraform and Infrastructure as Code.
- Experience with Kubernetes and Docker.
- Experience with CI/CD tooling; Harness is preferred.
- Proficiency in Python, SQL, and Git, along with DevOps practices.
- Experience with data platform architecture and solution design.
- Strong stakeholder management, technical leadership, and mentoring skills.
- Ability to operate as a player-coach and own technical direction rather than only individual tasks.
Benefits
- Hybrid working and flexible working options are available.
Tech Stack
Apache SparkDockerGitGitHub ActionsGoogle BigQueryGoogle Cloud PlatformHarnessJenkinsKubernetesPythonSQLTerraform
Categories
Data EngineeringDevOps