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

PETADATA; Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

PETADATA seeks a Senior DevOps Engineer for multi-cloud infrastructure across AWS, GCP and Azure. You will modernize applications, containerize workloads, and implement scalable Terraform IaC with secure practices.

Role requires 6+ years in DevOps, strong CI/CD expertise, and hands-on cloud experience. Hyderabad-based, full-time, 5+ years of experience, and readiness for US-time collaboration are expected.

Qualifications

• 6+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Infrastructure.
• Strong hands-on Terraform experience with reusable modules and remote state.
• Production experience with AWS, GCP and Azure; containerization with Docker.

Responsibilities

• Analyze end-to-end application and infrastructure dependencies for modernization.
• Containerize apps with Docker and ensure reproducible builds.
• Design multi-cloud Terraform IaC across AWS, GCP, Azure.
• Build and maintain CI/CD pipelines using mainstream tools.
• Implement secrets management, least-privilege access, and security baselines.

Skills

Terraform

Docker

Kubernetes

CI/CD

Linux administration

Cloud IAM

Security & Secrets

Networking fundamentals

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Terraform

AWS

GCP

Azure

Docker

Kubernetes

GitHub Actions

Job description

Location: Hyderabad (8:00 PM - 5:00 AM IST)

Work Type: Full-Time

Experience: 5+ Years

Roles & Responsibilities

• 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.
• 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.

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 the ability to quickly ramp up on the third cloud platform.
• AWS / GCP / Azure cloud infrastructure experience, with strong understanding of compute, networking, storage, databases, IAM, and managed services.
• Docker and containerization fundamentals with experience deploying production applications using containers.
• Experience with Kubernetes such as EKS, GKE, or AKS, or managed serverless container platforms.
• Strong experience designing and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, or equivalent.
• Strong Linux administration and troubleshooting skills.
• Strong understanding of cloud networking, including DNS, TLS, VPCs/VNets, subnets, routing, firewalls, and private connectivity.
• Strong scripting skills using Bash and preferably Python or Go.
• Practical experience with secrets management and secure credential handling.
• Strong understanding of cloud IAM and least-privilege security design.
• Experience implementing monitoring, logging, metrics, alerting, backup, disaster recovery, and rollback strategies.
• Ability to take an existing prototype or loosely structured codebase and make it production-ready with minimal supervision.
• Strong ownership, architectural decision-making, troubleshooting, and problem-solving skills.

Preferred / Nice-to-Have Skills

• Experience migrating applications from PaaS, hosted IDEs, or single‑vendor environments to self‑managed cloud infrastructure.
• Experience with multi-cloud abstraction technologies such as Crossplane, Pulumi, or Terragrunt.
• Experience with service meshes and cloud-agnostic infrastructure patterns.
• Experience with data-heavy infrastructure, managed databases at scale, ETL/data pipelines, or large-object transfer optimization.
• Experience with Airflow, Dagster, CDC tooling, or similar data orchestration technologies.
• Experience with GitOps tools such as Argo CD, Flux, or Helm.
• Knowledge of Policy-as-Code and infrastructure security/testing tools such as OPA, Sentinel, tfsec, Checkov, or Terratest.
• Experience with FinOps and multi-cloud cost optimization.
• Exposure to compliance frameworks such as SOC 2, HIPAA, or GDPR.
• Experience mentoring engineers and establishing infrastructure standards and best practices for engineering teams.

Education

Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field.

Candidates are required to attend Phone/video calls and in‑person interviews. After the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.