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.
- Robust 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.
- Robust 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. Please email your resume to [email protected] After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps

📌 Senior DevOps Engineer – Multi-Cloud Infrastructure (AWS / GCP / Azure) (Hyderabad)
🏢 PETADATA
📍 Hyderabad