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:

• Provident Fund

Work Location: In person