We are looking for a hands-on DevOps Engineer who can strengthen our day-to-day engineering, automation, and release processes across the platform.

We are looking for a DevOps Engineer with good knowledge in Azure SQL, Data Bricks, and Cloud Database DevOps to help develop and manage our database infrastructure. The ideal candidate will be able to bridge DevOps, CI/CD, release engineering, and Azure SQL platform support.

Primary Responsibilities :

1. CI/CD Engineering (Core Focus) :

- Build, maintain, and improve GitLab CI/CD pipelines used across the HOLT application suite.

- Support secure build chain requirements and automated testing workflows.

- Own scripting for build, packaging, deployment, environment configuration, and release promotion.

2. Release Management & Automation :

- Support regular release cycles for the HOLT stack across multiple pods.

- Improve automation around deployments, including validation, artifact flow, and repeatability.

- Troubleshoot build and release issues across dev, QA, and production-aligned environments.

3. Azure SQL Engineering Support (Non-DBA) :

- Assist with Azure SQL connectivity, configuration, permissions, access flows, and integration with pipelines.

- Work with engineers to troubleshoot Azure SQL issues (queries, access, service configuration).

- Help fill gaps created by the departure of our Azure SQL engineer - no database administration required, but strong comfort working with cloud SQL platforms is essential.

4. Cloud & Platform Engineering :

Support Azure-hosted infrastructure components such as :

1. Azure Storage Accounts

2. Azure Batch

3. Managed Identities

4. APIM integrations

- Assist teams with cloud environment reliability, troubleshooting, and incremental enhancements.

Required Technical Experience :

- GitLab CI/CD (must have)

- Azure Cloud Services (pipelines, storage, identities, batch, networking fundamentals)

- Azure SQL (engineering familiarity, access/roles, connection troubleshooting)

- Azure Databricks, such as running jobs, managing pipelines, and checking job logs to debug production issues.

- AKS (Azure Kubernetes Service), including the use of Helm charts.

- Scripting (Bash, Python, PowerShell - any strong automation language acceptable)

- Linux (comfortable working on Linux-based pipelines and runtime environments)

- ETL Tools (Good understanding of various ETL tools)

- Terraform (IaC) experience for provisioning and managing Azure infrastructure using central modules

Required Qualifications and Mandatory Requirements :

- Bachelors or Masters degree in computer science, Data Engineering, Data Science, or a related technical discipline.