AWS DevOps, MLOps Engineer

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🕒 May 18

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Capstone Integrated Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require.

📋 Description

• 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.

🎯 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