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Ops Engineer Jobs in Kansas (NOW HIRING)

Reporting directly to the VP, Ops Engineering, the Director will drive manufacturing test strategy, execution, automation, quality improvements, factory yield optimization, and continuous process ...

GTM Ops The Opportunity Agent Systems Engineer is what we call this role. You may know it as GTM Engineer, Revenue Systems Engineer, Growth Engineer, or internal Forward Deployed Engineer. The ...

Senior Data Engineer

Toronto, KS · On-site

$83K - $113K/yr

The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years. The role lives at the intersection of production engineering and data engineering, and ...

Our engineering services are powered by Morrow Engineering, a Guidant Power company providing ... Zero to two years of experience; internships and co-ops in power or industrial settings count * FE ...

Civil Engineer

Overland Park, KS · Hybrid

$34 - $48/hr

Bachelor's degree in Civil Engineering or related field. * 6 months to 1 year of civil engineering experience through employment, internships, or co-ops. * Proficiency in AutoCAD. Additional Skills ...

Site Ops Manager - Sapphire Americas Cement Chanute, Kansas, United States Job ID: 525637 Ash Grove ... Knowledge of process engineering principles * Proficient computer skills, including email and ...

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Ops Engineer information

See Kansas salary details

$33K

$77.8K

$121.7K

How much do ops engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ops engineer in Kansas is $77,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Ops Engineer vs DevOps Engineer?

AspectOps EngineerDevOps Engineer
CredentialsTypically requires a degree in computer science or related field, with certifications like AWS, Linux, or CiscoSimilar credentials, often with additional certifications in automation tools and cloud platforms
Work EnvironmentFocuses on maintaining and supporting existing infrastructure, often in data centers or cloud environmentsInvolves automation, CI/CD pipelines, and collaboration between development and operations teams
Industry UsageCommonly used in IT operations, cloud services, and infrastructure managementWidely used in software development, cloud deployment, and continuous integration practices

While both roles require technical expertise in infrastructure and cloud platforms, Ops Engineers primarily focus on maintaining and supporting systems, whereas DevOps Engineers emphasize automation, deployment, and collaboration between development and operations teams.

How much do operations engineers make in the US?

Operations engineers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, location, and industry. Salaries can vary based on skills such as automation, scripting, and familiarity with cloud platforms or monitoring tools.

Is operations a high paying job?

Operations engineering is generally considered a well-paying role, especially for those with technical skills, experience, and certifications. Salaries vary by industry, location, and level of responsibility but tend to be competitive within engineering and technical fields.

What does an Ops Engineer do?

An Ops Engineer is responsible for managing and maintaining an organization’s IT infrastructure, including servers, networks, and cloud services. They automate deployment processes, monitor system performance, troubleshoot issues, and ensure system reliability and security using tools like scripting languages and monitoring platforms.

What cities in Kansas are hiring for Ops Engineer jobs?

Cities in Kansas with the most Ops Engineer job openings:

Senior Software Engineer

Olathe, KS • On-site

Garmin International, Inc.
Electronics and Appliance Stores • 10K+ employees

$118K - $156K/yr

Full-time

Re-posted 3 days ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

16th of 162 rated electronics manufacturers


Job description

Overview
We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that enable scalable delivery of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self-service ML Ops solutions that reduce friction associated with model deployment, monitoring, reliability, and operational support. This is an opportunity for you to shape the future of AI enablement at Garmin by designing production-grade systems that improve the scalability, efficiency, and developer experience of enterprise AI/ML workflows.
Essential Functions
  • Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
  • Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
  • Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
  • Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
  • Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
  • Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
  • May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
  • Decomposes functional requirements into well-defined tasks
  • Researches fundamental problems and implements algorithm solutions that are appropriate
  • Offers peer technical assessments in areas of expertise, new technologies and software designs
  • Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
  • Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
  • Mentors and provides guidance to less experienced Software Engineers (1 & 2)
  • Contributes to advanced technical research on new technologies
  • Offers process improvement suggestions and authors new procedures as appropriate
  • Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
  • Supports working hours as part of a rotating schedule to provide on call support of Garmin's 24/7 operations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience
  • Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
  • Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
  • Demonstrated ability to serve as a lead software engineer for a complex software project
  • Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
  • Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
  • Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment

Desired Qualifications
  • Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
  • Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
  • Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
  • Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
  • Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
  • Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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