Technical Staff leading the architecture, reliability, and modernization of enterprise ALM and DevOps tools. Driving strategy and influencing product development in collaboration with various teams.
About the role
- DevOps Engineer for designing, automating, and optimizing cloud-native infrastructures across AWS, Azure, and GCP. Collaborating with teams to improve delivery workflows, reliability, and performance.
Responsibilities
- Design, build, and maintain cloud-native infrastructures across AWS, Azure, and (optionally) GCP.
- Implement scalable, secure, and highly available systems using Kubernetes, Terraform, and CI/CD pipelines.
- Automate cloud provisioning and deployments, improve platform reliability, and ensure cost and performance optimization.
- Integrate observability tools (Datadog, Grafana, Prometheus, Splunk) into applications and support teams in monitoring and troubleshooting.
- Collaborate with developers, QA, and cross-functional teams to enable DevOps practices, streamline workflows, and improve delivery processes.
- Support AI/ML workloads by designing infrastructure for training, inference, and MLOps pipelines (SageMaker, Azure ML, Vertex AI).
- Maintain documentation, build self-service DevOps tools, and contribute to platform best practices.
Requirements
- 4+ years of experience in DevOps, SRE, or cloud platform engineering.
- Strong expertise in AWS or Azure cloud architectures, networking, and security.
- Skilled in Kubernetes (EKS/AKS), Docker, Helm, and modern infrastructure-as-code (Terraform).
- Solid understanding of Linux systems, distributed systems, and scalable architecture design.
- Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and GitOps (ArgoCD).
- Comfortable with observability tooling (Datadog, Splunk, Prometheus, Grafana).
- Experience with AI/ML platforms or ML-driven workloads is a strong plus.
- Ability to work well with cross-functional teams, communicate clearly, and enjoy building reliable, automated, developer-friendly platforms.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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