DevOps Engineer

• *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