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Merck Sharp & Dohme (MSD)
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Manager, DevOps Engineer

Manager, DevOps Engineer

Merck Sharp & Dohme (MSD)

3 - 5 years

5 - 7 Lacs

hyderabad

Posted:None| Platform:

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Skills Required

solution architecture backend automation compliance disaster recovery healthcare troubleshooting continuous improvement business solutions sdlc

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview

Our ability to deliver features rapidly, securely, and reliably is central to our enterprise technology strategy. The Senior DevOps Engineer will be a key enabler of that mission architecting CI/CD pipelines, optimizing cloud infrastructure, automating deployment workflows, and ensuring platform observability across our AWS, MuleSoft, and microservices landscape.

This role demands technical depth in cloud and automation along with a strategic mindset for cost optimization, system resilience, and continuous improvement.

Key Responsibilities

Platform Reliability & Infrastructure as Code

Design and manage AWS infrastructure for microservices and MuleSoft workloads (ECS/EKS, Lambda, API Gateway, RDS/Aurora, Redshift, DynamoDB, S3, CloudFront , Databricks ).

Implement Infrastructure as Code (Terraform, CloudFormation) to provision and manage environments consistently.

Containerization & Orchestration: Build, deploy, and maintain Docker containers and orchestrate workloads using Kubernetes (EKS or self-managed).

Ensure scalability, fault tolerance, and disaster recovery strategies are in place.

Monitoring & Logging: Set up and maintain observability stacks (CloudWatch, Prometheus, Grafana, ELK, or similar).

CI/CD & Release Automation

Own the enterprise CI/CD strategy using GitHub Actions for multi-stage builds, automated testing, security scans, and controlled deployments.

Automate deployments for backend microservices, MuleSoft APIs, and UI applications.

Introduce deployment strategies like blue-green, canary, and rolling updates.

Performance & Cost Optimization: Monitor and optimize system performance, reliability, and cost efficiency.

Observability & Incident Response

Implement and manage monitoring, logging, and tracing solutions (CloudWatch, Prometheus/Grafana, OpenTelemetry ).

Define SLOs, SLIs, and error budgets with development teams.

Drive root cause analysis and remediation for production incidents.

Security & Compliance

Integrate security checks into pipelines (SAST, DAST, dependency scanning, container image scanning).

Enforce IAM best practices and least-privilege policies.

Ensure compliance with enterprise security and regulatory standards.

Collaboration & Leadership

Partner with development, QA, and architecture teams to embed DevOps practices early in the lifecycle.

Mentor junior DevOps engineers and promote a culture of automation-first and self-service tooling.

Contribute to DevOps standards, playbooks, and enterprise-wide best practices.

Qualifications

3+ year s experience in DevOps, cloud engineering, or platform operations.

Strong AWS expertise (ECS/EKS, Lambda, API Gateway, RDS/DynamoDB, VPC design).

Proven track record in CI/CD pipeline design (GitHub Actions is must ).

Proficiency with Infrastructure as Code (Terraform, CloudFormation).

Strong skills in scripting/automation (Python, Bash, Groovy).

Experience with containerization and orchestration (Docker, Kubernetes).

Familiarity with API deployments (MuleSoft, AWS API Gateway) and microservices environments.

Deep knowledge of security best practices in CI/CD and cloud.

MuleSoft deployment experience is a plus.

AWS or DevOps certifications preferred.

Preferred Qualifications

AWS Certified DevOps Engineer Professional.

Certified Kubernetes Administrator (CKA).

Experience with GitOps tools ( ArgoCD , Flux) and Helm charts.

Familiarity with service mesh (Istio, Linkerd ).

Knowledge of secrets management (Vault, AWS Secrets Manager).

Soft Skills:

Strong problem-solving and troubleshooting ability.

Excellent communication and collaboration skills.

Ability to work in fast-paced, agile environments.

Proactive mindset with a focus on automation and continuous improvement.

KPIs & Success Metrics

Deployment frequency: increase release cadence without rollback.

Mean time to recovery (MTTR): reduced for production incidents.

Cost efficiency: measurable reduction in AWS spend through optimization.

Pipeline success rate: high automation reliability with minimal manual interventions.

Compliance: zero high-risk security vulnerabilities in production deployments.

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Manager, DevOps Engineer