Top 107 Python developer Jobs in Utah

Senior DevOps Engineer
Callibrity —United States
- $135,000 - $165,000 a year
- Full-time
- Remote
- Mentoring
- Senior level
- Communication skills
- Paid training
- Paid parental leave
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1d
Full Stack Engineer
Nextlink Internet —United States
- $100,000 a year
- Overtime
- Background check
- Computer science
- Azure
- Health insurance
- Dental insurance
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4d

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Senior DevOps Engineer

Callibrity -
United States

Quick Apply

Job Details

Full-time
$135,000 - $165,000 a year
1 day ago

Benefits

Paid training
Paid parental leave
Health savings account
Paid holidays
Health insurance
Dental insurance
401(k)
Flexible spending account
Paid time off
Flextime
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Professional development assistance
Conference stipend
Life insurance
Lunch & learns

Qualifications

Teamwork
Engineering development testing
Infrastructure as Code (IaC)
Machine learning cloud services
Model deployment
Terraform
DevOps automation
Python
AWS CloudFormation

Full Job Description

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.

Benefits of Being a Callibrity Consultant:

Health/Vision/Dental insurance effective day 1 of employment
401k match vested immediately
Annual training/conference stipend
Paid parental leave
Paid bench time
Paid flex time for training, blogging, speaking engagements, and thought leadership
Paid time off for vacation, holidays, and sick days
Competitive industry salary
Weekly lunch and learns
Regular team-building events
Small company feel with the resources of a sustainable and proven business model
High employee retention and satisfaction (One of Cincinnati’s Best Places to Work!)
Work-life balance

Pay: $135,000.00 - $165,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Vision insurance

Work Location: Remote

Quick Apply

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