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Exempt Java Software Engineer Jobs in Kansas City, MO

LRS

Software Engineer

Kansas City, MO · On-site

$35 - $43/hr

... Java, C#, .NET, Python, SQL, or similar technologies Analyze and improve existing systems and ... or Software Engineer Proficiency in one or more programming languages, such as Java, C#, .NET, ...

T-Mobile

Software Engineer

Overland Park, KS · On-site

Full-Stack Development & Java Engineering - Proficiency across front-end and back-end technologies ... software specifications, system design documents, runbooks, API documentation, and business ...

Garmin International, Inc.

Software Engineer 2

Olathe, KS · On-site

$94K - $129K/yr

... C, C++, C#, Java, assembly language, or other selected languages * Proficient knowledge ... of relevant software engineering tools (configuration management systems, build processes ...

Garmin

Senior Software Engineer

Olathe, KS · On-site

$115K - $152K/yr

... 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 ...

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How much do exempt java software engineer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for exempt java software engineer in Kansas City, MO is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $66.63 per hour, depending on experience, location, and employer.

What is the difference between Exempt Java Software Engineer vs Non-Exempt Java Software Engineer?

AspectExempt Java Software EngineerNon-Exempt Java Software Engineer
Overtime EligibilityNot eligible for overtime payEligible for overtime pay
Work EnvironmentTypically salaried, project-focused rolesUsually hourly, may involve more structured hours
CredentialsOften requires a bachelor's degree in CS or related fieldSimilar educational requirements, may include certifications
Industry UsageCommon in tech companies, corporate environmentsFound in various industries, including government and consulting

The main difference between an Exempt Java Software Engineer and a Non-Exempt Java Software Engineer lies in overtime eligibility and pay structure. Exempt engineers are salaried and do not receive overtime pay, while non-exempt engineers are hourly and eligible for overtime. Both roles typically require similar educational backgrounds and are used across various industries, but their work hours and compensation structures differ.

How do Java Software Engineers typically collaborate with cross-functional teams during the software development lifecycle?

Java Software Engineers often work closely with product managers, quality assurance testers, and UI/UX designers throughout the software development lifecycle. They participate in regular sprint meetings, code reviews, and brainstorming sessions to align on project goals and address any technical challenges. Effective collaboration ensures that software solutions are robust, user-friendly, and meet business requirements. Open communication and the ability to adapt to feedback are key to success in this collaborative environment.

What is an Exempt Java Software Engineer?

An Exempt Java Software Engineer is a professional software developer who specializes in building applications using the Java programming language and is classified as 'exempt' under the Fair Labor Standards Act (FLSA). This means they are typically salaried employees who are not eligible for overtime pay due to their professional, managerial, or technical duties. Their responsibilities often include designing, developing, testing, and maintaining Java-based software solutions, collaborating with teams, and ensuring code quality. Being 'exempt' also implies a certain level of autonomy and responsibility within the workplace.

What are the key skills and qualifications needed to thrive as an Exempt Java Software Engineer, and why are they important?

To thrive as an Exempt Java Software Engineer, you need strong proficiency in Java programming, knowledge of software development methodologies, and typically a bachelor’s degree in computer science or a related field. Familiarity with tools like Eclipse or IntelliJ IDEA, version control systems such as Git, and frameworks like Spring or Hibernate is essential, along with relevant certifications. Problem-solving abilities, teamwork, and effective communication are standout soft skills in this role. These skills and qualities are crucial for building robust software solutions, collaborating effectively, and adapting to evolving technical requirements.
What are the most commonly searched types of Java Software Engineer jobs in Kansas City, MO? The most popular types of Java Software Engineer jobs in Kansas City, MO are:
What cities near Kansas City, MO are hiring for Exempt Java Software Engineer jobs? Cities near Kansas City, MO with the most Exempt Java Software Engineer job openings:
Exempt Java Software Engineer jobs near you
Senior Software Engineer

Senior Software Engineer

Garmin International, Inc.

Olathe, KS • On-site

$118K - $156K/yr

Full-time

Posted 10 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

8th of 139 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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