AWS DevOps Engineer
Quantum Strides LLC
IndiaremotePosted 13 days ago
Skill Required
DevOps-EngineerAWS-DevOps-EngineerCloud-EngineerCloud-Infrastructure-EngineerSite-Reliability-EngineerAWS-DevOps-EngineeringAWS-DevOps-SpecialistAWS-EngineerCloud-DevOps-EngineerAWS-Operations-EngineerAWS-Cloud-EngineerAWS-DevOpsDevOps EngineerDevOpsAWSDockerCD pipelinesEngineeringKubernetesPrometheusnetworkingautomationdevelopingObservabilityTerraformdesigningGitsecurityPythonetc.)designCI/CDCloudDesign PatternsShell ScriptingIAMandElasticsearchFulltime
Key highlights
- 4-6 years of DevOps/Cloud Engineering experience required
- Fully Remote Work Setup
- Strong proficiency with AWS CDK (Python) is essential
- Hands-on expertise with Amazon EKS for deploying and managing Kubernetes clusters
- Automation-first culture
- Opportunity to work on impactful global projects
Role overview
Quantum Strides LLC is seeking an AWS DevOps Engineer with 4-6 years of hands-on experience in AWS, Python-based CDK development, CI/CD automation, and Kubernetes. This remote, part-time position involves building scalable and resilient cloud infrastructure for a global client portfolio. The ideal candidate will thrive in an automation-first environment and contribute to impactful enterprise digital transformation projects.
Responsibilities
- Develop and manage Infrastructure as Code (IaC) using AWS CDK with Python
- Create modular, reusable, and maintainable constructs for scalable infrastructure
- Provision and manage AWS services including EC2, S3, IAM, VPC, RDS, Lambda, and CloudWatch
- Automate deployment workflows and operations using Python, Bash, and related tooling
- Design and maintain CI/CD pipelines using Git-based workflows (GitFlow, trunk-based)
- Manage and integrate multiple Bitbucket repositories with consistent automation standards
- Containerize applications using Docker and orchestrate workloads using Kubernetes / Amazon EKS
- Monitor system performance, optimize infrastructure cost, and enforce security best practices
Requirements
- 4-6 years of DevOps / Cloud Engineering experience
- Strong proficiency with AWS CDK (Python)
- Proficient in using the AWS Cloud Development Kit (CDK) with Python
- Experienced in writing modular, reusable, and maintainable CDK constructs for scalable environments
- Solid knowledge of AWS cloud stack and networking fundamentals
- Strong knowledge of core AWS services such as EC2, S3, IAM, VPC, RDS, Lambda, and CloudWatch
- Hands-on experience designing and managing infrastructure within AWS for production workloads
- Experience with automation scripting (Python, Bash)
- Skilled in developing automation scripts and tooling to streamline infrastructure provisioning, deployments, and operational workflows
- Focused on reducing manual intervention and improving efficiency through automation
- Hands-on expertise in CI/CD pipelines and Git workflows
- Deep understanding of Git branching strategies and workflows (GitFlow, trunk-based development)
- Experienced in designing and maintaining CI/CD pipelines for automated builds, tests, and deployments
- Skilled at managing and integrating multiple Bitbucket repositories, ensuring consistent workflows and pipeline automation across projects
- Practical experience with Docker, Kubernetes, and Amazon EKS
- Proficient with Docker for containerization and image optimization
- Strong experience with Kubernetes for orchestration and managing containerized workloads
- Hands-on expertise with Amazon EKS for deploying and managing Kubernetes clusters in AWS
Nice to have
- Exposure to Terraform or CloudFormation
- Experience with logging/monitoring tools like Prometheus, Grafana, or ELK
- Understanding of AWS cost and security optimization practices
Benefits
- Fully Remote Work Setup
- Automation-first culture
- Opportunity to work on impactful global projects
- Collaborative team and learning-driven environment
Additional details
- Originally posted on Himalayas