DevOps Engineer

• *Job description:**

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

• *Key Requirements (Must Have)**

• 5–15 years of hands\-on DevOps / Platform Engineering experience
• Strong Kubernetes expertise (production\-scale deployments, troubleshooting, scaling, security)
• Terraform OSS and Infrastructure as Code (IaC) experience
• CI/CD pipeline implementation (preferably GitLab CI)
• Docker and containerized environments
• Multi\-cloud experience across AWS, Azure, and/or GCP
• Proficiency in Go, Python, or Java
• Experience designing and operating distributed systems
• Observability and monitoring expertise (Prometheus, Grafana, logging, alerting)
• IAM and infrastructure security experience, including Keycloak or similar identity platforms
• Client\-facing experience with a proven track record of clearing customer/client technical interviews
• Strong communication and stakeholder management skills
• Ability to document and translate real\-world production incidents into structured engineering scenarios

• *Preferred (Good to Have)**

• Experience with air\-gapped/offline deployment environments
• Exposure to Data Engineering platforms and pipelines (Airflow, Kafka, Spark, etc.)
• MLOps / AI infrastructure experience
• gRPC and Kubernetes\-native application development
• Experience working on large\-scale platform modernization or cloud migration initiatives

• *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