The Opportunity.
We are seeking a Senior Azure DevOps Engineer to design, implement, and manage CI/CD pipelines and infrastructure automation for enterprise-grade data and AI workloads. The role will be part of a large-scale digital transformation initiative with a leading global consulting firm, supporting the build-out of robust and secure cloud environments for the client's data engineering and analytics ecosystem.
This role requires deep hands-on expertise in Azure DevOps, Terraform, and automation scripting, coupled with strong collaboration skills to work closely with development, infrastructure, and data teams.
The Role.
- Design, implement, and maintain CI/CD pipelines for data and AI workloads using Azure DevOps.
- Support infrastructure-as-code deployment and configuration using Terraform.
- Manage environment segregation (development, staging, production) and enforce access control, compliance, and deployment governance.
- Automate build, testing, and release processes for components such as Airflow, Databricks, and data services.
- Collaborate with data engineering teams to optimize deployment workflows and troubleshoot infrastructure issues.
- Establish monitoring, alerting, and logging mechanisms to ensure infrastructure reliability and performance visibility.
- Drive operational excellence by contributing to automation frameworks and continuous improvement initiatives.
- Ensure all deployment activities comply with security, audit, and cloud governance standards.
The Expertise.
Education & Certifications
- Bachelor's degree in Information Technology, Computer Science, or Engineering.
- Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator Associate preferred.
- Certifications in Terraform or Kubernetes administration are an advantage.
Experience & Background
- 57 years of experience in DevOps or cloud infrastructure engineering, with at least 3 years in Azure.
- Strong command of Azure DevOps, Git, and CI/CD pipeline automation.
- Experience supporting deployments for data platforms (Databricks, Airflow, Snowflake, or data warehouses).
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Solid understanding of Azure networking, identity, and security practices.
- Strong scripting experience with Python, PowerShell, or Bash.
- Proven background managing multi-environment setups and production-grade deployments.
Must-Have Technical Skills
- Azure DevOps (Pipelines, Repos, Boards, Artifacts)
- Infrastructure as Code (Terraform, ARM templates)
- Scripting (Python, PowerShell, Bash)
- Docker / Kubernetes orchestration
- Cloud networking, IAM, and security configuration
- CI/CD best practices for data/AI workloads
Preferred Skills
- Experience with Databricks, Airflow, Synapse, or other modern data platforms.
- Exposure to AWS or multi-cloud integration.
- Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Azure Monitor).
Other Relevant Information
- Location: Kuala Lumpur, Malaysia
- Engagement Type: Contract, 12-mos
- Schedule: Standard hours, complete onsite
- Client Industry: Telecommunications
- Start Date: December 2025 (2-week onboarding)
About us.
Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.
