Sr. DevOps Engineer
Role details
Job location
Tech stack
Job description
- Act as the Subject Matter Expert (SME) for DevOps and release platforms including IBM UrbanCode Deploy (uDeploy), GitHub Actions, Jenkins, Tekton, and Harness.
- Design, maintain, and optimize CI/CD pipelines to support frequent, secure, and reliable software releases.
- Drive DevOps, API platform (Apigee, APIM), and AI tooling adoption across enterprise applications to ensure high availability and reliability.
- Implement and manage observability and monitoring using Prometheus, Grafana, Kibana, Splunk, and OpenTelemetry for proactive issue detection and resolution.
- Define, measure, and track SLIs, SLOs, and SLAs to improve service reliability and operational transparency.
- Automate infrastructure provisioning and operational workflows using Terraform, Ansible, and scripting (Python, Bash, PowerShell) for scalable, repeatable deployments.
- Support and optimize containerized and cloud-native workloads on Kubernetes, OpenShift, and AWS, ensuring best practices for scalability, resiliency, and security.
- Manage API traffic routing, load balancing, versioning, and secure deployments using NGINX, Apigee, and enterprise API gateways.
- Collaborate with cross-functional teams to troubleshoot production issues, optimize performance, and drive continuous improvement across systems and platforms.
Requirements
Do you have experience in Terraform?, We are seeking a highly skilled Senior DevOps Engineer to lead enterprise-scale automation, platform reliability, and continuous delivery initiatives. This role demands deep expertise across DevOps, AWS Cloud, CI/CD engineering, infrastructure automation, container platforms, and API management. The Senior DevOps Engineer will serve as a technical SME for DevOps, release engineering, observability, and cloud-native architectures-driving high availability, performance, and operational excellence across enterprise applications., Hands-on experience with:
- AWS Cloud services and cloud-native architectures
- CI/CD tools: Jenkins, GitHub Actions, TeamCity, Tekton, Harness, uDeploy
- Infrastructure automation: Terraform, Ansible
- Containerization & orchestration: Docker, Kubernetes, OpenShift
- API management: Apigee, APIM, NGINX
Strong expertise with Linux, Git, and scripting languages (Python, Bash, PowerShell).
Strong understanding of monitoring, observability, logging, and reliability engineering.
- Proven experience in designing scalable, secure, and automated deployment practices.
Preferred Qualifications
- Certifications in AWS, Kubernetes (CKA/CKAD), Terraform, or DevOps disciplines.
- Experience with AI-based tooling for operations, predictive monitoring, or automated remediation.
- Strong understanding of security best practices in CI/CD, cloud, and API management.