Senior Devops Engineer

Responsibilities:

• Deploy, maintain, and troubleshoot Terraform infrastructure, Helm/Helmfile charts, and Azure DevOps

pipelines ,cloud platform ( Azure).

• Build and maintain CI/CD automation, including testing, SonarQube, vulnerability scanning, and secure

deployment processes.

• Support automation and Kubernetes deployments for the data lakehouse platform- Preferred
• Develop and maintain Python-based automation tools (Preferred) for infrastructure and application

provisioning.

• Apply and maintain security patches of OSS and product docker images.
• Work closely with developers, QA, and operations teams to integrate infrastructure with application

requirements.

• Troubleshoot complex issues across infrastructure, Kubernetes, pipelines, applications, and configuration.
• Maintain clear documentation, runbooks, and operational procedures.
• Follow security, compliance, and cloud best practices across Azure environments.
• Stay current with new technologies and continuously improve automation and delivery processes.

Prerequesties:

• 7+ years of hands-on DevOps experience, preferably supporting cloud-native, multi-tenant SaaS platforms. (

Relevant- 5+ Yrs)

• Strong experience with Terraform for provisioning and managing Azure infrastructure, including AKS, Azure SQL,

Key Vault, networking, Application Gateway, Front Door, and multi-subscription environments.

• Strong knowledge of Kubernetes, Helm, and Helmfile, including multi-chart deployments, environment-specific

configurations, and dependency management.

• Hands-on experience with Azure DevOps CI/CD pipelines, including multi-stage YAML pipelines, reusable

templates, approvals, and automated build and deployment workflows.

• Proficient in Python for infrastructure and platform automation, including Azure and Kubernetes APIs.
• Working knowledge of Java/Spring Boot and Node.js builds and containerization to support application CI/CD.
• Experience of or exposure to data lakehouse technologies, including Airflow, Spark, Delta Lake, and Hive

Metastore, preferably deployed on Kubernetes.

• Familiarity with Solr/SolrCloud administration, including collections and configuration management.
• Strong knowledge of Azure cloud services, including AKS, networking, storage, databases, Key Vault, monitoring,

and logging.

• Experience with Azure Commercial and Azure Government environments is a plus. ( Add on skills)
• Strong focus on automation, CI/CD, security, and fast feedback cycles.

Professional Skills

• Strong communication skills and ability to explain technical decisions clearly.
• Comfortable working across teams and collaborating with developers, QA, and product teams.
• Self-directed problem solver who can handle ambiguous and complex issues.
• Strong ownership mindset with a proactive approach to improving systems and processes.
• Adaptable and able to learn new technologies quickly.
• Collaborative and willing to work closely with other engineering teams