Sr. DevOps Engineer

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

• 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

• 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)

• 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

• Monitoring and alerting: Prometheus, Grafana, AWS CloudWatch

• Logging and tracing: ELK, OpenTelemetry

• Automated rollback and progressive delivery strategies

• Secrets management (Vault, AWS Secrets Manager, or equivalent)

• Compliance with enterprise change control & deployment governance

• Implementation of least-privilege access and artifact integrity verification