Role/Job Description :

Were looking for a strong DevOps Engineer who designs, builds, and maintains scalable cloud-native infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (IaC) and automation. They streamline software and data delivery by managing CI/CD pipelines, optimizing cloud costs, and ensuring robust security and observability.

Responsibilities :

- Infrastructure as Code (IaC) : Build and manage cloud foundation platforms using tools like Terraform, AWS CDK, or CloudFormation.

- Pipeline Automation : Design, implement, and maintain CI/CD pipelines in Azure DevOps or similar platforms to automate deployments.

- Cloud Operations & Cost Optimization : Configure cloud services (IAM, VPC, EC2, Kubernetes) and optimize resource usage for cost efficiency and scalability.

- Security & Compliance : Enforce security best practices, including IAM policies, least privilege access, data encryption, and compliance monitoring.

- Monitoring & Support : Develop robust observability, logging, and alerting frameworks using tools like Datadog, Prometheus, or CloudWatch.

- Implement security best practices and integrate vulnerability scanning for source code, containers, and infrastructure within CI/CD pipelines.

- Identify, assess, and remediate security vulnerabilities and configuration issues across cloud and application environments.

- Recommend and implement cloud resource organization, subscription structure, access controls, and governance standards.

- Collaborate with development and architecture teams to design secure, scalable, and cost-effective cloud solutions.

Requirements :

- Bachelor's degree in computer science engineering, or a related field.

- 4-6+ years of professional IT experience, with at least 4 years focused on cloud, data engineering, or DevOps.

- Cloud Platforms : Strong, demonstrable expertise in AWS, Microsoft Azure, or Google Cloud Platform (GCP).

- Scripting & Languages : Proficiency in programming languages like Python, Bash, or Go.

- DevOps Tools : Hands-on experience with Docker, Kubernetes, and Git/GitOps practices.

- Database/Data Skills : Familiarity with SQL and data lake/warehouse architectures, as EXL heavily integrates DevOps with AI-driven analytics.