Job Title: DevOps Engineer
About the Role
We are launching a cutting-edge AI training initiative that leverages real-world engineering expertise to build next-generation intelligent systems. As a DevOps Engineer, you will play a key role in designing, documenting, and translating real-life DevOps and backend incidents into high-quality benchmark scenarios. Your experience with outages, scalability challenges, secure deployments, and distributed systems will directly contribute to training advanced AI models.
Key Responsibilities
- Capture and document real-world DevOps and backend engineering incidents, converting them into structured benchmark tasks
- Design and contribute to secure, scalable, Kubernetes-native architectures
- Build and optimize CI/CD pipelines and infrastructure-as-code workflows
- Implement and maintain observability, monitoring, and alerting systems
- Work across identity and access management (IAM), infrastructure security, and backend services
- Collaborate with engineering teams to build realistic, production-grade workflows
- Contribute to best practices for secure and isolated (air-gapped/offline) environments
Required Qualifications
- 5–15 years of experience in DevOps Engineering, Backend Engineering, or related roles
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience building secure and scalable distributed systems
- Proven experience in client-facing roles and successfully clearing client interviews
- Excellent communication and stakeholder management skills
Technical Skills
Core Expertise
- Kubernetes (including tools such as k9s, k3s)
- Terraform (Infrastructure as Code)
- CI/CD pipelines (preferably GitLab CI)
- Docker and containerized environments
Programming & Backend
- Proficiency in at least one: Go, Python, or Java
- Experience with gRPC and Kubernetes-native services
Preferred Experience
- Secure, offline, or air-gapped deployment environments
- Distributed systems and/or ML pipeline workflows
Additional Requirements
Candidates must demonstrate hands-on experience across at least five functional areas/tools, including:
- Identity & Access Management (IAM)
- Observability (Prometheus, Grafana)
- CI/CD Pipelines
- Keycloak
- GitLab CI
- Terraform OSS
- Kubernetes ecosystem tools
- ML / Distributed pipelines (nice to have)
What We Offer
- Opportunity to work on next-generation AI systems
- Exposure to complex, real-world engineering challenges
- Collaborative and high-performance work environment
- Career growth in advanced DevOps and AI-driven platforms
Job Type: Full-time
Pay: ₹50,000.00 - ₹100,000.00 per month
Benefits:
Work Location: In person
