Senior DevOps Engineer
3 days ago
Job Summary
We are looking for a highly skilled and experienced DevOps/CloudOps/ML Ops Engineer to lead the design, implementation, and optimization of our cloud-native infrastructure and deployment pipelines. The ideal candidate will have deep expertise in CI/CD automation, container orchestration, and scalable cloud environments to support development, operations, and machine learning workflows.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
- Manage containerized applications using Docker and orchestrate them with Kubernetes (EKS, AKS, GKE, or self-managed).
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Monitor, troubleshoot, and optimize cloud infrastructure for performance, reliability, and cost-efficiency.
- Collaborate with development, data science, and operations teams to streamline deployment and release processes.
- Implement security best practices across cloud environments and CI/CD workflows.
- Support ML Ops workflows including model packaging, deployment, and monitoring (if applicable).
- Maintain documentation for infrastructure, processes, and operational runbooks.
Required Skills & Qualifications
- Minimum 5 years of experience in DevOps, CloudOps, or ML Ops roles.
- Strong hands-on experience with CI/CD tools and practices.
- Proficiency in Docker and Kubernetes for containerization and orchestration.
- Experience with at least one major cloud platform (AWS, Azure, or GCP).
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK, CloudWatch).
- Scripting skills in Bash, Python, or similar languages.
- Solid understanding of networking, security, and system administration in cloud environments.
- Excellent problem-solving and collaboration skills.
Job Type: Full-time
Work Location: Remote
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