Senior DevOps Engineer

Callibrity is based in Cincinnati, Ohio. This role may be virtual, remote based

but must work U.S. Eastern Time work hours. Strongly prefer candidates in

Midwestern and Eastern / Southeastern U.S. cities. Will not consider non-US

based candidates.

Callibrity is a developer owned and managed custom software development

consulting company that is dedicated to creating quality software using modern

technologies and adding unquestionable business value to companies across

multiple industries and verticals. We are problem solvers...people who like a

challenge and enjoy working with modern tech stacks. We offer an incredibly

collaborative culture and enjoy solving complex problems with our clients.

At Callibrity, we partner with organizations to solve complex software

engineering challenges through modern technology, thoughtful collaboration, and

exceptional engineering talent. We're looking for a Senior DevOps Engineer to

join a high-impact engagement where you'll help operationalize machine learning

at enterprise scale. This is an opportunity to work alongside an experienced

architecture team while building the deployment pipelines, cloud infrastructure,

and operational capabilities that bring machine learning models into production.

As a Senior DevOps Engineer, you'll focus on the engineering and operational

side of machine learning—not model development. You'll work closely with

software engineers, data engineers, architects, and business stakeholders to

build reliable, scalable deployment pipelines and cloud infrastructure.

Key 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.

Qualifications

• * 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.