Senior AWS DevOps Engineer – MLOps & GenAI Infra (Hybrid)

3Core Systems; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

3Core Systems in Chicago is seeking an experienced AWS DevOps Engineer focused on MLOps and GenAI infrastructure. The role involves designing and implementing cloud-native CI/CD pipelines, IAM, security best practices, and scalable ML workflows across AWS services in a hybrid environment.

You will collaborate with cross-functional teams to build reliable AI platforms, emphasizing automation, monitoring, and performance optimization to support scalable workloads.

Qualifications

• Experience in a DevOps Engineer role (5+ yrs).
• AWS cloud experience (5+yrs).
• Proficient with GitHub and GitHub Actions for source control (5 yrs).
• Proficient AWS experience with MLOps and AI services (5 yrs).
• AWS Associate or AWS Professional certifications preferred.

Responsibilities

• Perform programming, project management, and development tasks with minimal supervision.
• Tackle complex application and infrastructure issues, including off-shift support.
• Work independently on systems used by multiple applications or services.
• Drive development focused on delivering valuable features to the business.
• Maintain high software quality standards within the team and promote best practices.
• Identify growth opportunities and improvements within the team.
• Collaborate with end users and stakeholders to direct development, debugging, and testing.
• Participate in integrated and customer acceptance testing and ensure timely, quality results.

Skills

AWS

DevOps

GitHub

Job description

3Core Systems in Chicago is seeking an experienced AWS DevOps Engineer focused on MLOps and GenAI infrastructure. The role involves designing and implementing cloud-native CI/CD pipelines, IAM, security best practices, and scalable ML workflows across AWS services in a hybrid environment.

You will collaborate with cross-functional teams to build reliable AI platforms, emphasizing automation, monitoring, and performance optimization to support scalable workloads.