Senior DevOps Engineer - AWS/Azure

Job Title : Senior DevOps / Cloud Engineer

About the Role :

We are looking for an experienced Senior DevOps / Cloud Engineer to design, build, and maintain highly automated, secure, and scalable cloud environments on Azure and AWS. The role will focus on infrastructure as code, CI/CD pipelines, container orchestration, and observability, with an eye toward supporting AI/ML workloads and GPUaccelerated tasks.

Key Responsibilities :

- Architect, implement, and manage multicloud infrastructure using Terraform and native Azure/AWS services.

- Develop and maintain CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.) to enable rapid, reliable software delivery.

- Containerize applications and orchestrate workloads with Docker and Kubernetes (AKS/EKS), ensuring high availability and performance.

- Write automation scripts and utilities in Python to streamline operational tasks and improve efficiency.

- Implement cloud security best practices, including identity & access management, network segmentation, and secret management.

- Set up comprehensive monitoring, logging, and alerting using Datadog and native cloud tools to ensure system reliability and quick incident response.

- Collaborate with development, data science, and AI/ML teams to provision GPU resources and optimize workloads for machinelearning pipelines.

- Participate in oncall rotation and incident postmortems, driving continuous improvement of reliability and resilience.

Required Skills :

- Deep handson experience with Azure and AWS cloud platforms.

- Proficiency in Terraform for infrastructure as code.

- Strong background in CI/CD pipeline creation and management.

- Expertise with Docker and Kubernetes (AKS/EKS) in production environments.

- Solid Python programming skills for automation and scripting.

- Experience with Datadog or comparable observability platforms.

- Knowledge of cloud security principles and implementation.

- Ability to troubleshoot complex distributed systems and performance issues.

Preferred Skills :

- Direct experience supporting AI/ML or GPUintensive workloads.

- Familiarity with additional monitoring tools (Prometheus, Grafana) or logging solutions (ELK stack).

- Exposure to serverless architectures (Azure Functions, AWS Lambda).

- Understanding of networking concepts such as VPC, VPN, and load balancing.

Qualifications :

- Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

- Minimum 5+ years of professional experience in DevOps, Cloud Engineering, or Site Reliability Engineering roles.

- Demonstrated track record of delivering scalable, secure, and highly available cloud solutions.

Recruiter Summary :

- Senior-level DevOps/Cloud Engineer with deep Azure, AWS, Terraform, CI/CD, Docker, and Kubernetes expertise.

- Strong Python automation skills and proven experience with Datadog for monitoring and observability.

- Focus on cloud security, automation, scalability, and reliability across multicloud environments.

- Preferred exposure to AI/ML workloads and GPU provisioning.

- Minimum 5 years of relevant experience; bachelors degree or equivalent required.