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Sports Software Engineer Jobs in Seattle, WA (NOW HIRING)

Socket.dev

Software Engineer in Test -AI/ML

Seattle, WA · On-site

$140 - $190/hr

... Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for ... Description The Apple Services Engineering AI/ML quality organization is looking for a Software ...

Twitch

Software Engineer, Memberships I

Seattle, WA · On-site

$127K - $185K/yr

... sports, cooking, and more. It is where thousands of communities come together for whatever, every ... About the Role Join Twitch's Memberships team within the Commerce Engineering organization, where ...

Apple

Software Engineer in Test -AI/ML

Seattle, WA · On-site

$142K - $263K/yr

... Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for ... Description The Apple Services Engineering AI/ML quality organization is looking for a Software ...

Fiveonefour

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

I firmly believe that engineering is a team sport; the best technical architectures and designs come out of tight collaborations between team members. I will challenge your designs, encourage you to ...

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Showing results 21-40

All JobsSports Software Engineer JobsSports Software Engineer Jobs in Seattle, WA

Sports Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do sports software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for sports software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a sports software engineer?

A Sports Software Engineer develops and maintains software solutions for the sports industry, such as performance analysis tools, game simulations, fan engagement platforms, and sports data analytics. They work with technologies like AI, machine learning, and real-time data processing to enhance athletic performance, optimize team strategies, or improve user experiences. This role requires strong programming skills, knowledge of sports-specific data, and the ability to collaborate with coaches, analysts, and other stakeholders.

What does a sports software engineer do?

As a Sports Software Engineer, you may work on projects like developing real-time analytics dashboards, building data pipelines for player and game statistics, or integrating wearable sensor data into coaching tools. Daily responsibilities often include collaborating with data scientists or sports analysts, designing user-friendly interfaces for coaches and athletes, and maintaining or optimizing existing systems. Many roles also involve ensuring accurate data capture, troubleshooting technical issues during live events, and customizing software for specific sports or teams. This work provides a dynamic environment where you see the direct impact of your code on athletic performance and team strategy.

What are the key skills and qualifications needed to thrive as a sports software engineer?

To thrive as a Sports Software Engineer, you need a strong foundation in software development, proficiency in programming languages such as Python, C++, or JavaScript, and a good understanding of data structures and algorithms, often supported by a degree in computer science or related fields. Familiarity with technologies like sports analytics platforms, sensor data integration, RESTful APIs, and version control systems, as well as experience with cloud services or machine learning, is highly valuable. Soft skills such as teamwork, strong communication abilities, and adaptability help you collaborate with coaches, analysts, and non-technical stakeholders. These combined skills ensure you can design and implement effective software solutions that drive performance insights and user engagement in the sports industry.

What are the most commonly searched types of Sports Software Engineer jobs in Seattle, WA?

The most popular types of Sports Software Engineer jobs in Seattle, WA are:

What are popular job titles related to Sports Software Engineer jobs in Seattle, WA?

For Sports Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Sports Software Engineer jobs in Seattle, WA look for?

The top searched job categories for Sports Software Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Sports Software Engineer jobs?

Cities near Seattle, WA with the most Sports Software Engineer job openings:

Sports Software Engineer jobs near you
Infographic showing various Sports Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

Software Engineer in Test -AI/ML

Socket.dev

Seattle, WA • On-site

$140 - $190/hr

Other

Posted 9 days ago

Job description

Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what we could accomplish! The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. The products we build power the intelligence behind App Store, Apple TV, Apple Games, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. If you are looking for an opportunity to grow in a technical capacity by leveraging your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you!

Description

The Apple Services Engineering AI/ML quality organization is looking for a Software Developer In Test with expertise in building developer tools, test frameworks and libraries and strong experience in leading cross functional projects on a fast moving team. This role requires someone with a passion for quality engineering as well as solid software engineering skills, to deliver high quality services to Apple's customers. You will be responsible for the following:

  • Design, implement and maintain automation tests, testing & development frameworks and tooling to support various backend services and machine learning models and pipelines
  • Analyze, recommend, and implement best practices for coding guidelines and design principles, process workflow, quality gates, CI/CD process, etc.
  • Partner with cross functional teams to define and drive quality assurance best practices, techniques and methodologies needed to enhance productivity and quality
  • Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC
  • Guide tool analysis, create proof of concept models, and make recommendations to support the tools selection process.
  • Mentor junior team members
Minimum Qualifications

Bachelor’s degree with a minimum of 5 years, or Master’s degree with a minimum of 3 years, of experience in software development and/or test automation, including at least 3 years leading complex, distributed systems.

  • Proficiency in Java, Python or similar programming languages
  • Experience in designing and implementing testing frameworks for distributed systems, service-layer testing, including backend APIs, data processing, and infrastructure components
  • Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems
  • Impeccable communication skills and ability to effectively collaborate with multiple stakeholders across organizations and project timelines
  • Highly organized, creative, self-motivated, and passionate about achieving results.
  • Excited about the possibilities unlocked by AI and ML technologies
  • Advocacy for a positive customer experience
Preferred Qualifications

Knowledge of Big Data systems, Apache Spark is a plus

  • Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms is a plus
  • Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows
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