Description

Responsibilities

• Define and implement DevOps and cloud architecture strategies across enterprise applications and platforms.
• Design and implement highly available, scalable, and secure AWS and Azure cloud infrastructure.
• Develop and standardize CI/CD pipelines for application deployment and automated testing.
• Implement Infrastructure as Code using Terraform, CloudFormation, or similar technologies.
• Establish containerization and orchestration solutions using Docker and Kubernetes/OpenShift.
• Develop automation using Python, PowerShell, Bash, or similar scripting languages.
• Implement monitoring, logging, alerting, and observability using tools such as Grafana, Prometheus, ELK/Elastic, Splunk, or Datadog.
• Integrate security into the development and deployment lifecycle through DevSecOps practices.
• Establish standards for source control, branching strategies, artifact management, release management, and deployment automation.
• Work with application and engineering teams to improve deployment reliability, scalability, and operational efficiency.
• Provide technical leadership and architectural guidance to DevOps engineers and development teams.
• Identify opportunities to automate manual processes and improve platform reliability.
• Ensure solutions meet enterprise security, compliance, availability, and performance requirements.
• Troubleshoot complex production and infrastructure issues and provide architectural solutions.

Qualifications

• Required
  • 12+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Architecture.
  • Strong experience with AWS; Azure or GCP experience is a plus.
  • Strong hands-on experience with Terraform and Infrastructure as Code.
  • Extensive experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar.
  • Strong experience with Kubernetes and Docker.
  • Strong Linux/Unix administration and networking fundamentals.
  • Proficiency in Python, Bash, or PowerShell.
  • Experience with Git, artifact repositories, and automated release management.
  • Experience with Grafana, Prometheus, ELK/Elastic, Splunk, Datadog, or similar observability platforms.
  • Strong understanding of cloud security, IAM, secrets management, networking, and DevSecOps.
  • Experience designing enterprise-scale, highly available and resilient platforms.
• Preferred
  • Experience in large enterprise environments.
  • Experience with microservices and API-based architectures.
  • Experience with service mesh technologies.
  • Experience with AWS EKS, ECS, Lambda, API Gateway, CloudWatch, IAM, VPC, etc.
  • Experience with ArgoCD, Helm, Ansible, or similar deployment/automation technologies.
  • Experience with Kafka/event-driven architectures.
  • Experience implementing SRE practices, SLIs/SLOs, monitoring, and incident management.
  • Experience working with cybersecurity teams on cloud security and compliance

Key Skills

Education

Bachelor's degree