Manager

As a Lead DevOps Engineer, you will design, build and operate the cloud platform and infrastructure automation that underpins Clara Technology & Solutions. 

You will treat infrastructure as a product, enabling engineering teams to deliver securely and at scale. Key responsibilities include:

• Design, build and maintain production-grade Infrastructure as Code using Terraform and related tooling, creating reusable, opinionated and well-tested reusable assets with versioning, release strategies, and policy-as-code, security and compliance controls built in.
• Architect and operate solutions across the Azure platform, leveraging services such as Databricks, Azure Functions, Application Gateway, API Management, Storage Accounts and Service Bus to deliver reliable, scalable infrastructure.
• Build and maintain advanced CI/CD pipelines in Azure DevOps and GitHub, using reusable templates, strong code-review and branching workflows, and integrated automated testing and policy enforcement.
• Implement and uphold Azure security and identity best practice, including RBAC, Entra ID, enterprise applications, managed and workload identities, and zero-trust architectures.
• Develop automation, validation tooling and pre-commit hooks in Bash, PowerShell to improve infrastructure quality, consistency and the developer experience.
• Deliver internal platforms as products, providing clear abstractions, reusable artefacts and self-service capabilities, supported by high-quality, maintainable documentation.
• Collaborate with engineering teams and stakeholders, clearly articulating complex technical concepts and championing engineering best practice across the function
• Experience & Knowledge Requirement - Required
• Production‑Grade Terraform Engineering: Enterprise‑ready IaC covering robust module design and composition, reusable and opinionated abstractions, versioning and release strategies, automated testing (validation, unit tests, policy‑as‑code), security and compliance controls, and CI/CD‑driven delivery for reliable, scalable infrastructure.
• Azure Ecosystem Knowledge: Strong all‑round understanding of the Azure platform, with hands‑on experience across cloud application services such as Databricks, Azure Functions, Application Gateway, API Management, Storage Accounts, Service Bus etc.
• Azure Security & Identity: Solid understanding of RBAC, Entra ID, enterprise applications, managed and workload identities, and zero‑trust security architectures.
• Azure DevOps & GitHub: Advanced CI/CD pipelines with reusable templates, strong code‑review and branching workflows, and integrated automated testing and policy enforcement.
• Scripting & Automation: Proficient in languages such as Bash, PowerShell, or Python for validation tooling, pre‑commit hooks, automation, and infrastructure testing.
• Communication & Product Mindset: Ability to clearly articulate complex technical concepts, treat infrastructure as a product with real users, and produce high‑quality, maintainable documentation.
• Azure Networking: Solid understanding of Virtual networks and subnet design, private endpoints, private DNS zones, NSGs, Application Gateway, and network segmentation patterns.
• Platform Thinking: Experience building internal platforms as products, with reusable artifacts, clear abstractions, and self‑service capabilities for engineering teams.
• Advanced Infrastructure Testing: Familiarity with integration testing for IaC, contract testing between platform and consumers, chaos engineering concepts, and automated drift detection.
• Platform Technologies: Exposure to tools such as Backstage, custom CLI development, and API‑driven infrastructure provisioning and enablement.

• Databricks & Data Platforms: Experience with Azure Databricks workspace configuration, Unity Catalog administration, and common AI/ML infrastructure patterns.

   

  Desirable

• Azure Networking: Solid understanding of Virtual networks and subnet design, private endpoints, private DNS zones, NSGs, Application Gateway, and network segmentation patterns.
• Platform Thinking: Experience building internal platforms as products, with reusable artifacts, clear abstractions, and self‑service capabilities for engineering teams.
• Advanced Infrastructure Testing: Familiarity with integration testing for IaC, contract testing between platform and consumers, chaos engineering concepts, and automated drift detection.
• Platform Technologies: Exposure to tools such as Backstage, custom CLI development, and API‑driven infrastructure provisioning and enablement.
• Databricks & Data Platforms: Experience with Azure Databricks workspace configuration, Unity Catalog administration, and common AI/ML infrastructure patterns.