We are seeking an experienced Senior DevOps Engineer with strong expertise in cloud platforms, automation, container orchestration, and CI/CD. The ideal candidate will have hands-on experience in AWS, GCP, Kubernetes (EKS/GKE), ECS, Infrastructure as Code (Terraform), and GitOps practices. You will be responsible for designing, building, and maintaining scalable, secure, and automated infrastructure that supports our application lifecycle end-to-end.

Cloud & Infrastructure

- Design, implement, and manage cloud infrastructure on AWS and GCP.

- Architect scalable, secure, and highly available systems using VPCs, subnets, load balancers, NAT gateways, and security controls.

- Manage and optimize compute, storage, networking, IAM, and managed services.

- Implement monitoring, logging, alerts, disaster recovery, and cost-optimization strategies.

Containers & Orchestration

- Containerize applications using Docker and manage image lifecycles.

- Deploy and operate workloads on Amazon EKS, Google Kubernetes Engine (GKE), and Amazon ECS (Fargate & EC2 modes).

- Build GitOps-based deployments using ArgoCD.

- Create and manage Helm charts, Kubernetes manifests, and ECS task definitions.

- Optimize cluster performance, auto-scaling, networking, and security policies.

CI/CD & Automation

- Build and maintain CI/CD pipelines using GitHub Actions.

- Automate builds, tests, deployments, and environment promotion workflows.

- Integrate security scanning, linting, and quality checks.

- Improve deployment reliability through automation, validation, and rollback strategies.

- Leverage AI-assisted tooling to enhance deployment automation, release validation, troubleshooting, and operational efficiency.

Infrastructure as Code

- Develop and maintain Terraform modules for reusable, scalable infrastructure.





- Manage provisioning, configuration, policy enforcement, and environment standardization.

AI-Assisted Development/Deployments

- Familiarity with modern AI-assisted development tools and workflows to improve engineering productivity.

- Understanding of scalable website/application deployment architectures for AI-enabled or API-driven platforms.

- Experience supporting infrastructure for modern web applications integrating third-party AI/LLM services is a plus.

- Awareness of performance, security, and scaling considerations for AI-powered web platforms.

- Ability to evaluate and adopt AI-powered DevOps/automation tools for smarter infrastructure management and deployment processes.

Source Control & Collaboration

- Manage branching strategies, code reviews, and workflows using Git and GitHub.

- Collaborate with developers, QA, product teams, and platform teams.

- Promote best practices for DevOps, cloud security, and automation.

Requirements

Technical Skills

- 5+ years of experience as a DevOps Engineer

- Robust working experience with AWS & GCP

- Expert knowledge in Linux systems

- Proficiency with Docker and container lifecycle management

- Deep understanding of Kubernetes (EKS, GKE) and ECS (Fargate/EC2)

- Experience building GitOps workflows using ArgoCD and Helm

- Strong knowledge of Terraform and IaC best practices

- Hands-on with CI/CD using GitHub Actions

- Experience with monitoring tools like CloudWatch, Prometheus, Grafana, (GCP)

- Exposure to modern AI-enabled web application deployment patterns and scalable platform architecture

- Familiarity with AI-assisted developer tooling / automation platforms

- Ability to work in fast-paced environments with ownership and accountability

- Capable of mentoring junior engineers and driving DevOps culture

Work Location: In person

📌 Senior DevOps Engineer (Shamshabad)
🏢 Heartfulness Education Trust
📍 Shamshabad