onsite
Senior AWS DevOps & Platform Engineer - Fractal Analytics
Devops Engineer
Lead the design, deployment, and scaling of cloud-native platforms on AWS, driving automation, CI/CD pipelines, and infrastructure as code to support AI and analytics workloads.
About the role
Key Responsibilities
- Architect and maintain highly available, secure, and scalable AWS infrastructure for AI and analytics services.
- Design and implement CI/CD pipelines using Git, Jenkins, GitHub Actions, or similar tools to automate build, test, and deployment processes.
- Write and manage Terraform modules and CloudFormation templates for reproducible infrastructure provisioning.
- Containerize applications with Docker and orchestrate them on Kubernetes (EKS) clusters, ensuring optimal resource utilization.
- Implement monitoring, logging, and alerting solutions with CloudWatch, Prometheus, Grafana, and ELK stack.
- Collaborate with data science, ML, and application teams to optimize performance, cost, and security of cloud resources.
Requirements
- 6–9 years of professional experience in DevOps or Platform Engineering roles.
- Deep expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation).
- Proficient with infrastructure as code tools (Terraform, CloudFormation) and container orchestration (Kubernetes, EKS).
- Strong scripting skills in Python or Bash for automation.
- Experience with CI/CD tooling, monitoring, and security best practices in cloud environments.
Skills
awsterraformdockerkubernetespython