Sr. DevOps Engineer

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Position Title: Sr. DevOps Engineer (2 Openings)

Domain: Healthcare

Location: Boston, MA (Hybrid – 3 days onsite)

Experience: 10 Years

Job Description

We are seeking highly experienced Sr. DevOps Engineers with 10 years of hands-on expertise in designing, developing, and operationalizing comprehensive CI/CD frameworks across hybrid environments—including AWS-hosted services and on-premises systems. The ideal candidates will drive automation, enhance deployment workflows, and ensure seamless integration across environments while maintaining strong observability, governance, and security controls.

Key Responsibilities

• Develop and maintain promotion workflows across Dev, QA, Staging, and Production.
• Enable PartnerLab as a dedicated integration environment separate from production pipelines.
• Implement feature flags, progressive delivery, and automated rollback strategies.
• Define and enforce observability and monitoring standards across all environments.
• Integrate automated database build, migration, and refresh processes (with anonymized production data for lower environments).
• Enable automated and manual product validation across environments.
• Implement comprehensive test automation including unit, regression, integration, and performance testing.
  
  

Required Skills

<>Core Platforms

• Strong hands-on experience with AWS (ECS, EKS, Lambda, RDS, CloudFormation, IAM, CloudWatch) – Mandatory
• Familiarity with on-premises infrastructure: VMs, physical servers, and network orchestration
• GitHub Enterprise & GitHub Actions (workflow creation, runners, environments)
• Terraform for IaC and hybrid resource provisioning
  
  

<>Build, Test & Automation

• CI/CD pipeline orchestration across hybrid AWS on-premises environments
• Docker and Kubernetes for containerization & orchestration
• Automated test frameworks (unit, integration, regression, performance)
• Feature flag tools (e.g., LaunchDarkly or equivalent)
• Static & dynamic analysis tools (SonarQube, Fortify)
  
  

<>Database & Data Management

• Hands-on experience with Oracle and Microsoft SQL Server – Required
• Database schema management & migration automation
• Data masking/anonymization for non-production use
• Automated database refresh pipelines with integrity validation
  
  

<>Observability & Reliability

• Monitoring and alerting: Prometheus, Grafana, AWS CloudWatch
• Logging and tracing: ELK, OpenTelemetry
• Automated rollback and progressive delivery strategies
  
  

<>Security & Governance

• Secrets management (Vault, AWS Secrets Manager, or equivalent)
• Compliance with enterprise change control & deployment governance
• Implementation of least-privilege access and artifact integrity verification