DevOps Engineer
Posted Updated
Description
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.
Skills
- AI
- AWS
- Bash
- CI/CD
- Cloud
- CloudFormation
- CloudWatch
- Containerization
- DevOps
- Distributed Systems
- Docker
- EC2
- ECS
- EKS
- ELK
- Generative AI
- Git
- GitHub
- GitHub Actions
- GitLab
- GPU
- Grafana
- IAM
- Infrastructure as Code
- Jenkins
- Kafka
- Kubernetes
- Lambda
- Linux
- Loki
- Machine Learning
- Microservices
- MLOps
- Model Deployment
- Networking
- Observability
- Prometheus
- Python
- RabbitMQ
- RDS
- Redis
- S3
- Secrets Management
- SQS
- SRE
- Terraform
- VPC
