Senior DevOps Engineer – Multi-Cloud Infrastructure (AWS / GCP / Azure)

Position: Senior DevOps Engineer Multi-Cloud Infrastructure (AWS / GCP / Azure) Location: Hyderabad (8:00 PM - 5:00 AM IST) Work Type: Full-Time Experience: 5+ Years PETADATA is looking for a Senior DevOps Engineer Multi-Cloud Infrastructure (AWS / GCP / Azure) with strong experience in cloud infrastructure, automation, CI/CD pipelines, and scalable deployment solutions. Roles & Responsibilities Infrastructure & Application Modernization

• Analyze the existing application end-to-end, including runtime dependencies, environment variables, secrets, databases, networking, and infrastructure assumptions.
• Containerize applications using Docker and ensure builds are reproducible and production-ready.
• Establish a clean separation between application code, configuration, and infrastructure.
• Transform loosely structured infrastructure requirements into clear, maintainable, and production-ready solutions.

Multi-Cloud Infrastructure & Terraform

• Design, develop, and maintain Terraform-based Infrastructure as Code across AWS, GCP, and Azure.
• Build reusable Terraform modules for compute, networking, storage, managed databases, IAM, secrets, and observability.
• Design a cloud-agnostic infrastructure architecture with thin provider-specific layers to maximize portability.
• Manage Terraform remote state, state locking, workspaces/environments, and module structures across development, staging, and production.
• Provision and manage cloud-native services across AWS, GCP, and Azure.
• Deploy containerized workloads using Kubernetes (EKS/GKE/AKS) or managed serverless container platforms such as ECS/Fargate, Cloud Run, and Azure Container Apps.

CI/CD & Automation

• Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, or equivalent technologies.
• Automate infrastructure provisioning using Terraform plan/apply workflows, approvals, and deployment pipelines.
• Automate application testing, container image builds, infrastructure validation, and multi-cloud deployments.
• Build repeatable deployment and environment-management processes.

Security & Secrets Management

• Implement secure secrets management using AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, HashiCorp Vault, or equivalent solutions.
• Ensure secrets are never stored in source code or plaintext configuration.
• Establish least-privilege IAM and secure access controls across cloud environments.
• Implement network isolation, encryption at rest, and encryption in transit.
• Establish infrastructure security baselines and support compliance requirements where applicable.

Networking & Data Infrastructure

• Design secure cloud networking using VPCs, VNets, subnets, routing, firewalls, private connectivity, DNS, TLS, and egress controls.
• Build infrastructure that supports secure movement of data between source and target systems.
• Provision and tune managed databases and object storage, including RDS, Cloud SQL, Azure SQL, S3, GCS, and Azure Blob Storage.
• Design infrastructure for data-heavy and long-running workloads involving large transfers, retries, idempotency, and operational resilience.

Reliability, Observability & Disaster Recovery

• Implement backup, disaster recovery, rollback, and recovery strategies.
• Establish centralized logging, metrics, alerting, and environment-level dashboards.
• Monitor system health and infrastructure performance across multiple cloud providers.
• Design reliable infrastructure capable of supporting production workloads and data migration operations.

Cost Optimization & Operational Ownership

• Monitor and optimize infrastructure spend across AWS, GCP, and Azure.
• Evaluate where multi-cloud parity provides business value and where it may introduce unnecessary cost or complexity.
• Identify infrastructure bottlenecks, operational risks, and opportunities for optimization.
• Own infrastructure outcomes end-to-end, including design, implementation, documentation, deployment, and operational reliability.

Note: Should be able to work independently and work in USA time zones Required Skills

• 6+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Infrastructure roles.
• Strong hands-on Terraform experience, including reusable modules, remote state, state locking, workspaces, provider configuration, and infrastructure management at scale.
• Production experience with at least two of AWS, GCP, and Azure, with …