Senior DevOps Engineer

Callibrity is a developer owned and managed custom software development consulting company dedicated to creating quality software using modern technologies. They are seeking a Senior DevOps Engineer to help operationalize machine learning at enterprise scale by building reliable deployment pipelines and cloud infrastructure.

Responsibilities:

• Design, build, and maintain production-grade CI/CD pipelines for machine learning applications and services
• Deploy and operationalize machine learning models using AWS services, with an emphasis on Amazon SageMaker
• Develop and maintain production Python applications supporting model deployment, inference, automation, and platform tooling
• Build and deploy cloud infrastructure using Infrastructure as Code (Terraform or AWS CloudFormation)
• Deploy and support containerized workloads within AWS-based machine learning environments
• Create automated deployment, testing, monitoring, and promotion processes across multiple environments
• Collaborate with architects and engineering teams to improve platform reliability, scalability, and operational maturity
• Implement monitoring, alerting, logging, and operational best practices to support production systems
• Mentor junior engineers and promote engineering best practices across the team
• Partner with cross-functional teams including platform engineering, infrastructure, security, and business stakeholders

Requirements:

• 7+ years of software engineering, DevOps, platform engineering, or MLOps experience
• Strong production-level Python development experience
• Deep experience building, testing, and promoting applications through CI/CD pipelines (tool agnostic)
• Experience deploying containerized applications in cloud environments
• Hands-on Infrastructure as Code experience using Terraform or AWS CloudFormation
• Strong AWS experience deploying production workloads
• Experience supporting the machine learning deployment lifecycle, including model deployment, inference pipelines, monitoring, and operational support
• Ability to contribute quickly with minimal ramp-up time
• Excellent communication skills with the ability to collaborate across technical and non-technical teams