V
Sr Devops Engineer
V
- Posted 2 days ago
- Be among the first 30 applicants
Job Description
Job Requirements
Senior DQA DevOps Engineer
Location: Offshore (India)
Experience: 7+ Years
Domain: Healthcare / Managed Care Payer
About The Role
Virtusa is seeking a Senior DQA DevOps Engineer to serve as the DevSecOps and Release Engineering backbone for Data Quality Center of Excellence (CoE) Pods delivering for a premier US healthcare payer client. Operating at a ratio of one engineer per Agile Pod, you will operationalize the Data Quality as Code (DQxC) strategy by building automated CI/CD pipelines that deploy Databricks and Snowflake assets with automated quality gates.Core Responsibilities
Release Engineering & CI/CD: Design and maintain scalable Azure DevOps (ADO) YAML pipelines for data code, infrastructure, and configuration across multiple environments. Automate releases for Azure Databricks (Asset Bundles, CLI, REST APIs) and Snowflake (SnowSQL, SchemaChange, Flyway, dbt). Provision cloud resources via Terraform, ARM, or Bicep.
DevSecOps & DQxC Integration: Embed automated Data Quality as Code scripts into pipelines to block deployments if quality thresholds fail. Implement automated security scanning (SAST/DAST) and Azure Key Vault secrets management to protect PHI/PII. Configure logging, alerting, and monitoring.
Gen AI & Continuous Improvement: Utilize Generative AI (Microsoft/GitHub Copilot) to accelerate YAML and Terraform authoring. Support Pod DQA leads and DQEs with troubleshooting and Git workflow best practices.
Required Qualifications
Experience: 7+ years in DevOps, Release Engineering, or SRE focused on data platforms and cloud infrastructure.
ADO Mastery: Expert in Azure DevOps multi-stage YAML pipelines, Git repositories, and release gates.
Cloud & IaC: Hands-on Azure cloud ecosystem and Infrastructure as Code experience (Terraform strongly preferred).
Scripting: Proficiency in Python, Bash, or PowerShell for deployment automation and API integrations.
Data Platform & Security: Experience managing CI/CD for Databricks and Snowflake, plus strong DevSecOps and secrets management principles.
Preferred Qualifications
Healthcare IT familiarity (HIPAA, HITRUST compliance).
Experience with AI developer tooling in DevOps workflows.
Certifications: Azure DevOps Engineer Expert (AZ-400), Databricks Certified, or Terraform Associate.
Work Experience
7-10Years
Senior DQA DevOps Engineer
Location: Offshore (India)
Experience: 7+ Years
Domain: Healthcare / Managed Care Payer
About The Role
Virtusa is seeking a Senior DQA DevOps Engineer to serve as the DevSecOps and Release Engineering backbone for Data Quality Center of Excellence (CoE) Pods delivering for a premier US healthcare payer client. Operating at a ratio of one engineer per Agile Pod, you will operationalize the Data Quality as Code (DQxC) strategy by building automated CI/CD pipelines that deploy Databricks and Snowflake assets with automated quality gates.Core Responsibilities
Release Engineering & CI/CD: Design and maintain scalable Azure DevOps (ADO) YAML pipelines for data code, infrastructure, and configuration across multiple environments. Automate releases for Azure Databricks (Asset Bundles, CLI, REST APIs) and Snowflake (SnowSQL, SchemaChange, Flyway, dbt). Provision cloud resources via Terraform, ARM, or Bicep.
DevSecOps & DQxC Integration: Embed automated Data Quality as Code scripts into pipelines to block deployments if quality thresholds fail. Implement automated security scanning (SAST/DAST) and Azure Key Vault secrets management to protect PHI/PII. Configure logging, alerting, and monitoring.
Gen AI & Continuous Improvement: Utilize Generative AI (Microsoft/GitHub Copilot) to accelerate YAML and Terraform authoring. Support Pod DQA leads and DQEs with troubleshooting and Git workflow best practices.
Required Qualifications
Experience: 7+ years in DevOps, Release Engineering, or SRE focused on data platforms and cloud infrastructure.
ADO Mastery: Expert in Azure DevOps multi-stage YAML pipelines, Git repositories, and release gates.
Cloud & IaC: Hands-on Azure cloud ecosystem and Infrastructure as Code experience (Terraform strongly preferred).
Scripting: Proficiency in Python, Bash, or PowerShell for deployment automation and API integrations.
Data Platform & Security: Experience managing CI/CD for Databricks and Snowflake, plus strong DevSecOps and secrets management principles.
Preferred Qualifications
Healthcare IT familiarity (HIPAA, HITRUST compliance).
Experience with AI developer tooling in DevOps workflows.
Certifications: Azure DevOps Engineer Expert (AZ-400), Databricks Certified, or Terraform Associate.
Work Experience
7-10Years
More Info
Key Skills
Azure Key Vault
YAML pipelines
About Company
Skills:
python, Kubernetes, Amazon eks Archtecture
Skills:
Terraform, Kubernetes, Docker, Linux Administration, Cloud Services, Ansible, Monitoring Tools, Scripting, Networking, CI/CD
Skills:
Aws, Azure, Cloud Infrastructure, Devops, Cloudwatch, Terraform
Skills:
Agile, Azure Devops
Skills:
containerization , Terraform, Kubernetes, AWS Cloud services, CI CD pipeline design, Git-based workflows, EKS