Role Overview

As a DevOps Engineer at KGeN, you will own and evolve our cloud infrastructure, deployment pipelines, observability, and security posture. You’ll work closely with backend, AI, frontend and platform teams to enable fast, safe, and scalable product development.

This is not a pure ops role — we’re looking for someone who thinks in systems, automates everything possible, and cares deeply about reliability and security.

Key Responsibilities

Cloud & Infrastructure

• Design, build, and maintain cloud infrastructure primarily on AWS (mandatory) and GCP (secondary).
• Manage compute, networking, storage, IAM, and managed services for production workloads.
• Implement Infrastructure as Code (IaC) using tools like Terraform / CloudFormation.

CI/CD & Automation

• Build and maintain CI/CD pipelines for backend services, AI workflows, and internal tools.
• Automate deployments, rollbacks, environment provisioning, and operational workflows.
• Write Python scripts for automation, tooling, and operational tasks.

Reliability & Observability

• Ensure high availability, scalability, and performance of production systems.
• Set up monitoring, logging, and alerting (e.g., CloudWatch, Prometheus, Grafana).
• Drive incident response, root cause analysis, and post-mortems.

Security & Compliance

• Implement and enforce cloud security best practices (IAM, secrets management, network security).
• Work on vulnerability management, secure CI/CD, and least-privilege access.
• Support compliance and security reviews for customer and partner integrations.

Collaboration

• Partner with backend, AI/ML, and product teams to enable smooth releases.
• Contribute to platform architecture decisions and technical standards.

Required Skills & Experience

Must-Have

• 4–8 years of hands-on DevOps / Platform Engineering experience.
• Strong experience with AWS (EC2, EKS/ECS, S3, RDS, IAM, VPC, CloudWatch, etc.)
• Working knowledge of GCP (Compute, GKE, networking, IAM).
• Strong Python scripting skills with an automation-first mindset.
• Solid understanding of cloud security principles and best practices.
• Experience with Linux, containers (Docker), and container orchestration (Kubernetes).

Good to Have

• Experience with Terraform or similar IaC tools.
• Exposure to multi-cloud or hybrid cloud setups.
• Experience supporting AI/ML or data-heavy workloads.
• Familiarity with secrets management tools (Vault, AWS Secrets Manager).
• Knowledge of cost optimization and cloud FinOps practices.

What You’ll Get

• Opportunity to build 0→1 systems and scale them
• Work closely with founders and core engineering team
• High ownership and fast growth environment
• Exposure to AI, platform systems, and cutting-edge tech