DevOps Engineer

Responsibilities:

• Manage and maintain cloud infrastructure across AWS and Azure environments.
• Provision, configure, and monitor AWS services, including EC2 S3 EBS, EFS, IAM, VPC, CloudWatch, and Security Groups.
• Design, implement, and maintain CI/CD pipelines using Jenkins and other automation tools.
• Automate application deployment, testing, monitoring, and rollback processes.
• Build, optimise, and manage Docker-based deployments for development and production environments.
• Monitor infrastructure health, system performance, application uptime, and resource utilisation.
• Implement logging, monitoring, and alerting solutions to improve platform observability.
• Troubleshoot infrastructure, deployment, and networking issues across environments.
• Implement cloud security best practices, access controls, SSL/TLS certificates, firewall policies, and secrets management.
• Create and maintain infrastructure documentation, deployment guides, runbooks, and standard operating procedures.
• Collaborate with backend, frontend, QA, and ML teams to streamline deployment and operational workflows.
• Support AI/ML workloads running on cloud infrastructure, including GPU-based workloads.
• Participate in incident management, root cause analysis, and disaster recovery planning.
• Continuously identify opportunities for automation, reliability improvements, and cost optimisation.

Requirements:

• 2-3 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
• Strong hands-on experience with AWS services: EC2 S3 EBS, EFS, IAM, VPC, CloudWatch, Security Groups
• Working knowledge of Microsoft Azure services.
• Strong experience with Jenkins for CI/CD automation.
• Hands-on experience with Docker and containerised deployments.
• Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.
• Strong Linux system administration skills.
• Experience with monitoring and logging tools.
• Strong understanding of networking concepts, including DNS, SSL/TLS, load balancers, reverse proxies, and firewalls.
• Familiarity with Python, Bash, or Shell scripting.
• Knowledge of Infrastructure as Code (IaC) concepts.
• Strong documentation and process management skills.
• Understanding of cloud security best practices and infrastructure hardening.
• Excellent debugging, troubleshooting, and problem-solving skills.

Good to Have:

• Experience with Kubernetes.
• Experience with Terraform, Pulumi, or similar infrastructure as code tools.
• Experience managing GPU-based workloads.
• Experience with PostgreSQL, Redis, and distributed systems.
• Experience supporting AI/ML infrastructure and production workloads.
• Knowledge of backup, disaster recovery, and high-availability architectures.
• Exposure to FastAPI, microservices, or media processing platforms.
• Experience optimising cloud infrastructure costs across AWS and Azure.