AWS DevOps Engineer: CI/CD Automation & Cloud Ops

United States Digital Space LLC; United States; Remote; USD 95,000 - 135,000; Full time

Job summary

United States Digital Space LLC is seeking a skilled DevOps professional to join our New York team to automate deployments, implement CI/CD pipelines, and monitor AWS environments. The role requires hands-on AWS experience, Docker/Microservices familiarity, and strong scripting skills in Python and Terraform.

You will work within an agile team, align deployments across DEV/QA/PROD, and ensure automated QA gates.

Qualifications

• Bachelor or Master degree.
• +3 years of hands-on experience supporting application build and deployment in an AWS Cloud environment.
• Experience with core DevOps practices: Configuration Management, CI, IaC, CD, Monitoring.
• Experience with DevOps integration with automated testing and deployment verification.
• Scripting languages and databases: Python, Terraform, MongoDB, Redis.
• Knowledge of AWS services: EC2, ECS, ELB/ALB, Security Groups, Route53, IAM, KMS, Cognito, Secrets Manager, Parameter Store, Lambda, SES, SNS, SQS.
• Familiar with branching strategies, pull requests, Git commands, Bash.
• Knowledge/experience of Microservices, Docker container implementation.
• Excellent knowledge of English (written and verbal).

Responsibilities

• Work with an agile team to implement process automation for MEAN platform apps.
• Implement the CI/CD pipelines using GitLab and AWS services.
• Automation of code builds and deployments with automated QA gates.
• Implement process tracking and monitoring in AWS cloud environment.
• DEV, QA and PROD automated deployment pipelines to match industry standards.
• Continuously monitor and record configuration changes of AWS resources.

Job description

United States Digital Space LLC is seeking a skilled DevOps professional to join our New York team to automate deployments, implement CI/CD pipelines, and monitor AWS environments. The role requires hands-on AWS experience, Docker/Microservices familiarity, and strong scripting skills in Python and Terraform.

You will work within an agile team, align deployments across DEV/QA/PROD, and ensure automated QA gates.