We re looking for an experienced Senior DevOps Engineer (Hybrid) to join our engineering team and lead the automation deployment and scaling of our cloud infrastructure. Youll play a critical role in managing CI/CD pipelines optimizing cloud usage and ensuring the smooth deployment of our Python/Django applications with a particular focus on containerized environments using AWS services like Fargate etc. This role is ideal for someone passionate about infrastructure automation scalable architecture and driving DevOps best practices across the organization.
Key Responsibilities
- Design implement and maintain CI/CD pipelines for Python/Django applications
- Build and manage secure scalable cloud environments using AWS with emphasis on AWS Fargate
- Containerize applications using Docker and deploy using Fargate or other ECS services
- Automate infrastructure provisioning with tools like Terraform or CloudFormation
- Monitor system performance availability and cost-efficiency
- Collaborate with development teams to ensure seamless feature releases and infrastructure support
- Implement robust observability logging and alerting systems
- Drive incident response root cause analysis and system hardening initiatives
- Enforce cloud and application security best practices
Requirements
Key Requirements
- 5 years of experience in a DevOps Site Reliability or Cloud Engineering role
- Strong experience deploying and managing Python/Django applications in production
- Hands-on experience with AWS services especially AWS Fargate ECS EC2 S3 RDS IAM and VPC
- Proficiency with CI/CD tools such as GitHub Actions Jenkins GitLab CI or CircleCI
- Deep knowledge of Docker and container orchestration on AWS
- Experience with infrastructure-as-code (e.g. Terraform AWS CDK or CloudFormation)
- Comfortable with Linux administration networking and shell scripting
- Strong understanding of security monitoring and compliance in cloud environments
- Excellent communication and cross-team collaboration skills
Nice to Have
- Experience with other cloud platforms (e.g. GCP Azure)
- Knowledge of Kubernetes and Helm (if not using Fargate in all deployments)
- Familiarity with observability tools like Prometheus Datadog CloudWatch or Grafana
- Exposure to microservices and serverless architectures
- Experience with cost optimization in AWS environments