Senior DevOps Engineer

Zelis Healthcare

Hyderabad

On-site

INR 2,000,000 - 3,200,000

Full time

13 days ago
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Job summary

Zelis Healthcare seeks a Cloud DevOps Engineer to architect, build, and maintain scalable platform solutions on AWS with EKS, containerization, and IaC using CDK. You will implement robust CI/CD pipelines with GitHub Actions, and integrate security tooling like Veracode to enforce DevSecOps across cloud environments.

The role covers Windows/.NET workloads, multi-cloud readiness with Azure, and collaboration with development, security, and architecture teams to improve reliability and automation.

Qualifications

  • Hands-on AWS core services experience (EKS, IAM, VPC, EC2).
  • Production experience with Docker and Kubernetes in cloud environments.
  • CDK Workflows and CI/CD pipeline engineering using GitHub Actions or similar tools.
  • PowerShell scripting and YAML-based workflows.
  • Experience deploying Windows-based and .NET workloads in cloud environments.
  • Strong DevSecOps with automated security scanning and compliance.
  • Ability to work cross-functionally and contribute to continuous improvement initiatives.
  • Nice to have multi-cloud AWS/Azure; AI/ML platform exposure; monitoring excellence.

Responsibilities

  • Architect, build, and maintain scalable platform solutions on AWS with EKS and containers.
  • Design IaC using AWS CDK for automated provisioning.
  • Develop and maintain CI/CD pipelines with GitHub Actions.
  • Deploy and optimize workloads across AWS and Azure.
  • Implement cloud security best practices and IAM controls.
  • Integrate Veracode into CI/CD pipelines for security.
  • Advance DevOps automation to improve deployment reliability.
  • Collaborate with development, security, and architecture teams.
  • Lead AI adoption initiatives using AWS Bedrock and Copilot-based tools.

Skills

AWS core services
EKS
IAM
VPC
EC2
Docker
Kubernetes
CDK workflows
CI/CD pipelines
PowerShell
YAML workflows
Windows workloads
DevSecOps
Cross-functional collaboration
AI/ML tools exposure

Tools

GitHub Actions
Veracode
AWS CDK
CI/CD tooling

Job description

Key Responsibilities
  • Architect, build, and maintain scalable platform solutions using AWS services with a strong focus on EKS and containerization.
  • Design and implement Infrastructure as Code (IaC) using AWS CDK, enabling fully automated and repeatable cloud provisioning.
  • Develop and maintain robust CI/CD pipelines using GitHub Actions, leveraging YAML and PowerShell scripting to drive automation.
  • Deploy, manage, and optimize workloads across AWS and Azure, including Windows Services and .NET-based applications.
  • Implement and enforce cloud security best practices, including secure networking, IAM, secret management, and compliance controls.
  • Integrate application and security scanning tools such as Veracode into CI/CD pipelines to ensure continuous security validation.
  • Drive DevOps automation best practices, improving deployment reliability, observability, and operational efficiency.
  • Collaborate closely with development, security, and architecture teams to streamline delivery workflows and enhance platform reliability.
  • Lead and support AI adoption initiatives, including the responsible use of AWS Bedrock and Copilot-based tools to improve productivity and automation.
Required Skills & Experience
  • Strong hands-on experience with AWS core services, including EKS, IAM, VPC, EC2, and related managed services.
  • Proven experience with container technologies (Docker, Kubernetes) in production environments.
  • Expertise in CDK Workflows, CI/CD pipeline engineering using GitHub Actions or similar tools.
  • Solid scripting skills in PowerShell and experience authoring YAML-based workflows.
  • Experience deploying and supporting Windows-based and .NET workloads in cloud environments.
  • Strong understanding of DevSecOps principles, including automated security scanning and compliance.
  • Ability to work cross-functionally and contribute to continuous improvement initiatives.
Nice to Have
  • Experience with multi-cloud architectures (AWS and Azure).
  • Exposure to AI/ML platform services and developer productivity tools.
  • Strong troubleshooting, performance optimization, and monitoring expertise.
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