> Markdown version of [/jobs/ext/3772251-software-development-engineer](https://www.wearedevelopers.com/jobs/ext/3772251-software-development-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Automation of Tests, Big Data, Continuous Integration, Programming Tools, Distributed Data Store, Distributed Systems, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Data Processing, Apache Spark, Backend, Machine Learning Operations, Data Pipelines, SDET, Web Api, Programming Languages - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_apple2-200677065 ## About the Role 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 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.