About the role

Responsibilities:

Design, build, and maintain scalable, secure, and highly available cloud infrastructure.
Develop and manage CI/CD pipelines for faster and more reliable software deployments.
Automate infrastructure provisioning and configuration management.
Monitor application performance, infrastructure health, and system reliability.
Work closely with backend, AI/ML, and platform teams to optimise deployment workflows.
Manage containerised applications and orchestration platforms.
Implement infrastructure security, backup, disaster recovery, and compliance best practices.
Troubleshoot production issues and ensure high availability of services.
Continuously improve deployment processes, observability, and platform performance.

Requirements:

1-4 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
Strong hands-on experience with AWS (EC2 ECS/EKS, Lambda, S3 IAM, VPC, CloudWatch, RDS, etc. ).
Experience building and managing CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools.
Strong experience with Docker and containerization.
Hands-on experience with Kubernetes (EKS preferred).
Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation.
Good understanding of Linux system administration and shell scripting (Bash/Python).
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Loki, or CloudWatch.
Familiarity with networking fundamentals, security best practices, and cloud architecture.
Experience with Git and modern DevOps workflows.

Preferred Experience:

Experience supporting AI/ML or Generative AI workloads and GPU-based infrastructure.
Familiarity with model deployment, inference services, or MLOps pipelines.
Experience managing scalable distributed systems and microservices architectures.
Exposure to message queues (Kafka, RabbitMQ, SQS) and caching systems (Redis).
Knowledge of security scanning, secrets management, and cloud cost optimisation.

DevOps Engineer