AWS DevOps/MLOps Engineer (AI)

TL;DR

AWS DevOps/MLOps Engineer (AI): Building and maintaining scalable cloud infrastructure and CI/CD pipelines for enterprise AWS environments with an accent on AI/ML workload integration and automation. Focus on designing Infrastructure as Code (IaC) solutions, optimizing cloud-native performance, and supporting cross-functional engineering teams in delivering high-impact software solutions.

Company

hirify.global is a comprehensive services provider specializing in designing, building, and supporting retail software through a build-as-a-service model.

What you will do

• Collaborate with cross-functional teams to design and maintain scalable AWS cloud environments.
• Build and manage infrastructure supporting development, production, and AI/ML workloads.
• Develop Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation.
• Optimize CI/CD pipelines using Azure DevOps and GitHub Actions.
• Integrate modern AI tooling and automation capabilities into engineering workflows.
• Implement best practices for reliability, observability, security, and performance optimization.

Requirements

• Strong hands-on experience as an AWS DevOps or MLOps Engineer in enterprise environments.
• Deep expertise with core AWS services including Lambda, ECS/EKS, Step Functions, and IAM.
• Expert-level experience with Terraform, AWS CDK, and CloudFormation.
• Strong experience building CI/CD pipelines with Azure DevOps and GitHub Actions.
• Proficiency in Python or similar scripting languages.
• Experience with databases such as RDS, PostgreSQL, and DynamoDB.

Nice to have

• Experience supporting AI/ML infrastructure or MLOps workflows.
• Experience with Kubernetes, Docker, and container orchestration.
• AWS certifications such as Solutions Architect or Machine Learning Specialty.
• Experience supporting front-end deployments and modern web applications.

Culture & Benefits

• Fully remote work environment.
• Culture focused on continuous learning, knowledge sharing, and professional growth.
• Emphasis on delivery, consistency, and building long-term trust with customers.
• Commitment to an inclusive and safe work environment.