AWS DevOps Engineer

Talentrix AI; Chicago (IL); On-site; USD 59,000 - 84,000; Full time

Job summary

Talentrix AI in Chicago, IL seeks an AWS DevOps Engineer to design and operate enterprise-grade CI/CD pipelines in Harness, TeamCity and AWS CodePipeline. You will build cloud infrastructure with Terraform/CloudFormation, containerize workloads with Docker and Kubernetes (EKS), and oversee deployments across Dev, QA, Stage and Production.

Your role includes monitoring system health with Dynatrace, incident response, and guiding vulnerability remediation using Veracode, SonarQube and Wiz.

Qualifications

• 8+ years of experience with AWS and DevOps practices.

Responsibilities

• Design, build and maintain enterprise-scale CI/CD pipelines in Harness and TeamCity; deployment orchestration and release management, including AWS CodePipeline; automated builds and Git repository management.

Skills

CI/CD pipelines

Infrastructure as Code

AWS cloud platforms

Containerization

Multi-cloud experience

Monitoring & SRE

Networking & troubleshooting

Git & repository mgmt

Communication skills

Integrity & trust

Teamwork

Tools

Harness

TeamCity

Terraform

CloudFormation

Docker

Kubernetes (EKS)

AWS CodePipeline

EC2

Lambda

Dynatrace

Git

Veracode

SonarQube

Wiz

Job description

AWS DevOps Engineer - Chicago, IL - Onsite Rate $52/hr C2C MAX

8+ years of experience 4+ years running production systems on AWS. Experience in designing, building and maintaining enterprise-scale CI/CD pipelines, cloud infrastructure and deployment automation across AWS and multi-cloud environments.

Key Responsibilities

• CI/CD pipeline engineering - design, build and maintain enterprise-scale CI/CD pipelines in Harness and TeamCity; deployment orchestration and release management, including AWS CodePipeline; automated builds and Git repository management.
• Cloud infrastructure and IaC - design and maintain cloud infrastructure across AWS and multi-cloud; Infrastructure-as-Code with Terraform and CloudFormation; build and run AWS microservices on EKS, EC2 and Lambda.
• Containers and deployment automation - containerize and deploy with Docker and Kubernetes (EKS nodes and clusters); automate deployments across Dev, QA, Stage and Production; apply AWS best practices for container monitoring.
• Production monitoring and incident support - monitor application availability, latency and system health in Dynatrace; define and implement production alert standards; support alarms and outages as needed; coordinate with cross-functional, Problem Management and escalation teams; manage uptime, availability and reporting.
• Vulnerability remediation - fix critical, high and medium findings identified through Veracode, SonarQube and Wiz.

REQUIRED QUALIFICATIONS - KNOWLEDGE/SKILLS

• Expert in Harness and TeamCity for CI/CD pipeline automation, deployment orchestration and release management.
• Expert in Infrastructure-as-Code - Terraform and CloudFormation; good understanding of Serverless.
• Hands-on with Docker and Kubernetes (EKS node, cluster and AWS native services).
• AWS microservices - CodePipeline, EKS, EC2 and Lambda; multi-cloud exposure.
• Site and log monitoring and APM administration, specifically Dynatrace.
• Strong understanding of systems, networks and troubleshooting techniques.
• Source control, branching and merging with Git (Repository Management); familiarity with configuration management software.
• Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level.
• Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn't misrepresent him/herself for personal gain.
• Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussionsSolid experience in Harness, TeamCity, Terraform, CloudFormation, Docker, Kubernetes (EKS), AWS CodePipeline, EC2, Lambda and Dynatrace (refer to the Scope of Work for details).

Nice-to-have skills (highly preferred): Hands-on experience and familiarity with AI-assisted "vibe coding" using tools such as GitHub Copilot, Claude Code, Amazon Q, Cursor, or similar AI development platforms is preferred. Given the evolving nature of these technologies, practical exposure and a clear understanding of AI-assisted development concepts are acceptable.