Live opening · Posted 7 hours ago
At a glance
The key details from the original listing.
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About the role
Description supplied by the original job listing.
The core responsibilities for the job include the following:
Cloud and 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 and 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 and 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 and Compliance:
Implement and enforce cloud security best practices (IAM, secrets management, and 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.
Requirements:
6-10 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.
Skills
DevOps, CI / CD, Kubernetes, AWS
Experience
6-10 yrs
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