Staff DevOps Engineer

Overview

Staff DevOps Engineer responsible for designing, building and maintaining CI/CD, MLOps and cloud infrastructure, including AWS services, Kubernetes and observability tooling.

What you'll do

• Design, build, and maintain CI/CD and MLOps pipelines for automated application and AI model deployments.
• Manage cloud infrastructure and compute resources using IaC tools like Terraform or CloudFormation.
• Implement end-to-end observability using tools like Prometheus, Grafana, and Datadog to monitor system health.
• Collaborate with development and AI/ML teams to containerize applications using Docker and Kubernetes.
• Provision, configure, and manage core AWS services, including EC2, S3, RDS, IAM, VPC, and EKS.
• Scale and optimize containerized workloads using Amazon EKS, including cluster upgrades and node group tuning.
• Configure and manage NGINX for ingress routing, reverse proxying, load balancing, and SSL/TLS termination.
• Build custom dashboards, define SLOs/SLAs, and set up proactive alerting via PagerDuty and Datadog.
• Support AI teams by providing self-service platform tools and optimizing GPU/TPU compute resources.

What you'll need

• Minimum of 3 to 6 years of proven experience in DevOps, Cloud Infrastructure, or a related field.
• BSc/B.Tech/BE in Computer Science, Engineering, or a related technical discipline is mandatory.
• Extensive hands-on experience with AWS Cloud Infrastructure and core cloud services.
• Proficiency in Kubernetes, Docker, and managing containerized workloads at scale.
• Strong expertise in building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
• Deep understanding of observability, telemetry, and monitoring tools (Datadog, Open Telemetry, Grafana).
• Excellent design, analytical, and troubleshooting skills with a methodical approach to problem-solving.
• Fluent in English with strong written and verbal communication skills for cross-team collaboration.

Nice to have

• Experience in testing methodologies and developing unit, integration, system, and API tests.
• Strong networking foundations, including TCP/IP, DNS, Network Protocols, and Routing.
• Knowledge of security principles, risk management, threat modeling, and secure configuration.
• Hands-on database usage experience and a solid understanding of data engineering concepts.
• Demonstrated experience working within Agile development methodologies and practices.
• Active Cloud Solution Architect Certification (e.g., AWS Certified Solutions Architect).
• Familiarity with the open-source community and a proactive drive for continuous self-learning.

Details

• Location: Hyderabad, India (office-based; most teams work from the office full time, with flexibility when needed).
• Visa sponsorship: not available for this position.