Senior Principal - Cloud Platform Engineer – Cloud Native

Overview

Senior hands-on platform engineering role building and running infrastructure-as-code and golden-path automation for Cloud PaaS and Serverless services, setting engineering standards and mentoring engineers, including partner engineers.

What you'll do

• Design, build and automate platform infrastructure using infrastructure-as-code and golden paths, so that provisioning is repeatable rather than reconstructed each time.
• Use AI-assisted engineering across code generation, review and testing to accelerate delivery and raise quality, reviewing AI-generated output before it is merged.
• Build self-service capabilities and paved roads that reduce friction for consuming teams, so adoption does not depend on the platform team's availability.
• Engineer for reliability by defining SLOs, instrumenting platforms for observability and automating to reduce toil, working with the Site Reliability Engineer on standards.
• Set and uphold engineering standards, secure-by-default practices and code quality within the platform, and hold them in code review.
• Contribute to incident response and drive permanent automated fixes with Reliability Engineering rather than repeating manual recovery.
• Mentor and technically lead other engineers, including partner engineers, linking engineering work to platform OKRs and outcomes.
• Integrate and assure supplier or managed-service components, holding partner-delivered engineering to the same standards and code quality as internal work.
• Work the platform's manual task and toil backlog, converting identified candidates into automation and evidencing the effort removed.
• Close observability coverage gaps for the platform, so that reliability can be measured rather than inferred.
• Contribute engineering-led items to the platform backlog held by the Product Owner, including technical debt, upgrade and automation work, with the cost of not doing them stated.
• Apply the reference architectures and patterns set by the Platform Architect, and raise a case for change rather than diverging locally.

What you'll need

• Degree in a technology or engineering discipline, or equivalent practical experience (e.g., Computer Science, Software Engineering, Electronics).
• Typically 6-8 years in cloud, infrastructure or software engineering, including at least two years as the senior technical voice in a team.
• Deep hands-on depth in Cloud PaaS and Serverless Technologies across Azure, Azure Local and GCP.
• Proficient in writing scripts using Terraform, Python, Ansible, Json and PowerShell.
• Experience with building, configuring and managing Cloud AI Services (e.g. Azure OpenAI, AI Search, Azure Machine Learning, Google Document AI, BigQuery AI).
• Practical experience of infrastructure-as-code, for example Terraform, applied to production estates rather than proofs of concept.
• Strong expertise in Azure/GCP application services (e.g. Logic Apps, Function Apps, App Services, cloud run, pub/sub) for designing and implementing scalable, secure, and cloud-native solutions.
• Experience with CI/CD pipelines, and with containers and Kubernetes where relevant to the platform.
• Track record building self-service capability that other teams adopted without hand-holding.
• Experience instrumenting for observability, defining SLOs and reducing toil through automation.
• Experience with AI-assisted engineering tooling, including judgement about when generated output is not fit to merge.

Nice to have

• Relevant technical certifications (e.g., a recognised cloud certification for AWS, GCP or Azure, Certified Kubernetes Administrator, or a network vendor certification relevant to the platform).
• Proficient in building solutions using container services - AKS & GKE.
• Hands-on experience deploying container solutions, including Docker containers, and managing K8s deployments using YAML and Helm charts.
• Familiarity with multi-cloud deployments using cloud tools like Camunda, GitHub Action, Azure Arc, Google Anthos etc.
• Knowledge of Pharma practices, GxP, Validation, Audit readiness and how to optimize delivery to accommodate these critical practices.

Details

• Location: Bengaluru Luxor North Tower.
• Engineering roadmap and direction sit with the Engineering Director; reference architecture and standards sit with the Platform Architect; backlog order sits with the Product Owner; deep reliability engineering sits with the Site Reliability Engineer deployed from Reliability Engineering & Operations.