End Date

Friday 29 May 2026

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

Flexible Working Options

Hybrid Working

Job Description Summary

The Lead Infra Engineer will lead a team of Infra engineers within a Lab or Platform managing one or more technical products. Accountable for the associated Infrastructure strategy, security strategy and technical product roadmaps across the Lab/Platform. Includes measuring and reporting effectiveness of automation and orchestration to senior stakeholders.

Job Description

• Experience : 15+ Years
• Location : hyderabad

Key Responsibilities

• Design, build and maintain secure, scalable Google Cloud infrastructure foundations for service consumption including IAM Policy, key management network integration patterns (PSC/PSA) and observability for products such as Bigquery, Composer, Vertex AI, Alloy DB, Spanner and Cloud Run.
• Build and maintain reusable Terraform modules and automated deployment patterns for analytics, AI/ML, database and serverless products.
• Develop pipelines using Harness CI and Python to implement automation to remove manual steps and standardise delivery.
• Understand threat models and group policy to translate control requirements into policy-as-code guardrails using (Wiz/Rego & Custom Organisation Policy/CEL).
• Create and evolve self-service “Golden Paths” through Backstage templates, scaffolding, service catalogue contributions, documentation & automation hooks so teams can ship faster with less friction.
• Partner closely with security, risk, architecture and delivery teams to meet regulated-industry requirements without slowing pace of engineering delivery.
• Improve operational excellence including monitoring, incident response, problem management, cost optimisation and reliability engineering including participating in out-of-hours support.
• Push innovation by prototyping and productionising Generative and Agentic AI based automation (e.g. AI assisted deployments, documentation automation, and policy reasoning) using tools such as Gemini on Google GCP and Copilot Studio with appropriate controls and auditability.
• Participate in Agile team meetings, handle tasks and reporting using Agile tools, and support ongoing efforts to improve processes.
• Provide technical oversight and deliver hands-on‑ design and implementation of secure, scalable GCP infrastructure across IAM policy, networking patterns, key management and observability for Google Data and AI products
• Lead, coach and develop engineers to build a high‑performing, inclusive team

Essential Skills & Experience:

• Experience in Cloud and Platform Engineering, with a proven track record of building and operating solutions on Google GCP.
• Background in designing and implementing CI/CD pipelines with tooling such as GitHub Actions and Harness for automated build and deployment pipelines.
• Understanding and application of configuration management tools for infrastructure automation and policy enforcement (experience with alternative configuration management tools is considered an asset).
• Skilled in writing and managing Infrastructure as Code (IaC) using Terraform.
• Experience with a programming/scripting language such as Python, Go, or Bash for automation of processes.
• Demonstrated ability to take ownership of products and features and drive them to successful delivery.
• Experience in curating and managing the full product lifecycle for cloud services
• Excellent verbal, written, and interpersonal communication skills, with the ability to convey complex technical concepts clearly to both technical and non-technical stakeholders.
• Comfortable operating in fast-paced, dynamic environments - able to adapt quickly, embrace ambiguity, and remain effective through change.

Desirable Skills:

• Hands-on experience with building and maintaining cloud infrastructure and services using the Google GCP product suite.
• Proficient in writing Infrastructure as Code (IaC) using Terraform, with a strong understanding of modular and reusable coding practices such as dependency management.
• Prior Experience in building Multi-Agent Systems using Gen AI
• Comprehensive knowledge of Cloud Security, Private Networking, Key Management Service (KMS), Encryption, and IAM such as principles of least privilege.
• Strong automation mindset with solid foundations in CI/CD and one or more programming languages such as Python or equivalent engineering skills.
• Proven security & reliability focus with a track record of designing and implementing highly scalable, secure and resilient systems.
• Experience with monitoring tools and techniques to ensure system reliability and performance.
• Comfortable working in a regulated environment including security controls, auditability, change governance and stakeholder management.