Job Description
The
DevOps Engineer
will be responsible for designing, building, and maintaining scalable, cloud-native production infrastructure. The role requires strong hands-on experience with
Kubernetes
,
Docker
,
Terraform
, and
AWS services
such as
Lambda, EC2, S3, and Fargate
. The ideal candidate will have experience implementing
CI/CD pipelines
,
monitoring systems (Grafana, Dynatrace)
, and exposure to
Generative AI services
on AWS, Azure, or GCP. This position emphasizes collaboration with development teams to optimize performance, scalability, and deployment workflows in a modern cloud environment.
🔑
Primary Skills
Core DevOps Tools:
Kubernetes, Docker, Terraform, CloudFormation
Cloud Platforms:
AWS (Lambda, EC2, Fargate, S3, DynamoDB), Azure, GCP
Monitoring Tools:
Grafana, Dynatrace
CI/CD \& Infrastructure:
Infrastructure as Code (IaC), Continuous Integration/Deployment
Scripting \& Automation:
Bash, Python (nice to have)
Other Skills:
Performance optimization, cloud scalability, generative AI familiarity
💻
Responsibilities
Build, deploy, and manage scalable cloud-native applications using Kubernetes and Docker.
Automate infrastructure provisioning using Terraform and CloudFormation.
Implement CI/CD pipelines to streamline deployment processes.
Manage and monitor system health using Grafana, Dynatrace, and other observability tools.
Collaborate with development teams to enhance deployment workflows and system reliability.
Ensure optimal performance and high availability of infrastructure.
Stay updated with emerging
Generative AI tools
across AWS, Azure, and GCP.
Participate in production deployments and optimize enterprise-scale systems.