[Hiring] AWS DevOps / MLOps Engineer @Capnexus

Role Description

Capnexus is looking for a highly motivated and experienced AWS DevOps / MLOps Engineer to join our growing team. This is an exciting opportunity for a driven professional passionate about building cutting-edge cloud, automation, and AI-enabled infrastructure solutions in enterprise AWS environments.

We are specifically looking for candidates with deep hands-on AWS DevOps experience, ideally including experience working with or alongside AWS Professional Services (AWS ProServe) teams.

Responsibilities:

• 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.

Qualifications

• 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 and 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.

Requirements

• Experience supporting AI/ML infrastructure or MLOps workflows.
• Experience with Kubernetes, Docker, and container orchestration.
• Experience supporting front-end deployments and modern web applications (ReactJS or similar).
• AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty, etc.).
• Experience with version control systems such as Git.

Benefits

• Remote work

Company Description

Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you.