Job Summery:
We’re looking for a skilled DevOps/Cloud Infrastructure Engineer to design, implement, and maintain scalable cloud infrastructure and CI/CD pipelines, with a focus on supporting advanced AI and machine learning workloads. This role blends hands-on engineering with strategic architecture, ensuring high availability, security, and collaboration across DevOps, ML, data science, and security teams.
Key Responsibilities:
- Cloud Infrastructure: Design and maintain scalable, secure cloud systems (AWS/Azure/GCP), optimize cost/performance, and support AI/ML workflows.
- CI/CD Pipelines: Build and maintain automated pipelines for continuous integration and deployment.
- Containerization: Use Docker and Kubernetes for orchestration and scalable deployments.
- Automation & Scripting: Automate tasks and system processes using Bash, Python, Ansible, etc.
- Monitoring & Incident Management: Set up observability tools, alerts, and incident response systems.
- Security & Compliance: Implement secure practices and ensure policy compliance.
- Team Collaboration: Work cross-functionally with Dev, QA, IT; support agile processes.
- Documentation & Knowledge Sharing: Maintain clear documentation and conduct knowledge transfers.
- Ongoing Improvement: Stay updated with DevOps trends and improve infrastructure processes.
Key Competencies:
Core Skills:
- Expert in cloud platforms (AWS, Azure, GCP)
- Strong in CI/CD (e.g., Jenkins, GitHub Actions), containerization (Docker, K8s)
- Proficient with IaC tools (Terraform, CloudFormation), scripting (Python, Bash)
- Strong understanding of monitoring tools and DevSecOps principles
Soft Skills:
- Strong problem-solving, communication, and collaboration
- Self-driven, adaptable, and detail-oriented
- Effective documentation and teamwork mindset
Language:
- Advanced proficiency in English.
JOB SPECIFICATIONS
Necessary Knowledge and Experience
- 3–5+ years of experience in DevOps, Cloud Engineering, or similar roles.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Strong experience with CI/CD, Infrastructure as Code, and containerization.
Education and Certification Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.