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Capstone Integrated Solutions logo
Capstone Integrated Solutions

A full-service software and services company

AWS DevOps, MLOps Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

78 days ago

Salary

0

Seniority

Senior

Job Description

AWS DevOps, MLOps Engineer

Capstone Integrated Solutions

• Collaborate with cross-functional engineering, infrastructure, and AI teams to design, implement, and maintain scalable AWS cloud environments and CI/CD pipelines. • Build, automate, and manage AWS-based infrastructure supporting development, production, and AI/ML workloads. • Design and maintain Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation. • Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions/GitHub CI/CD workflows. • Support deployment, monitoring, automation, and operational excellence across cloud-native applications and services. • Work closely with development and AI teams to integrate modern AI tooling and automation capabilities into engineering workflows. • Implement best practices around reliability, scalability, observability, security, and performance optimization in AWS environments. • Participate in architecture discussions, infrastructure planning, troubleshooting, and continuous improvement initiatives. • Support MLOps-related workflows and infrastructure for AI-enabled applications and services.

Job Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • Strong hands-on experience as an AWS DevOps Engineer or MLOps Engineer in enterprise environments.
  • Experience working with or supporting AWS Professional Services (AWS ProServe) engagements is strongly preferred.
  • Deep expertise with AWS services including Lambda, API Gateway, Step Functions, ECS/EKS, IAM, CloudWatch, Amplify, and other core AWS technologies.
  • Expert-level experience with Terraform, AWS CDK, and CloudFormation.
  • Strong experience building and maintaining CI/CD pipelines using:
  • Azure DevOps
  • GitHub Actions / GitHub CI/CD
  • Experience incorporating AI-enabled development tooling and automation into engineering workflows.
  • Familiarity with modern AI engineering tools such as Kiro CLI or similar AI-assisted development tooling.
  • Strong scripting/programming skills in Python or similar languages.
  • Experience with infrastructure monitoring, logging, and performance optimization.
  • Experience with databases such as RDS, PostgreSQL, Oracle, and DynamoDB.
  • Strong understanding of DevOps, cloud security, automation, and infrastructure best practices.
  • Excellent troubleshooting, analytical, and problem-solving skills.
  • Strong communication and collaboration abilities in cross-functional enterprise environments.
  • Ability to work independently in fast-paced, highly technical client-facing environments.

Benefits

  • Remote work

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