• Lead the design and implementation of complex technology projects and strategic initiatives • Develop, test, and deploy high-quality, production-ready code for large-scale software components • Set the standard for code quality by performing rigorous peer reviews and establishing best practices • Solve sophisticated software problems involving high risk or complexity • Drive significant improvements in software quality, system performance, and the end-customer experience • Lead initiatives to improve testability, internal documentation, and operational excellence metrics • Communicate effectively with senior stakeholders and cross-functional partners • Proactively manage technical debt and improve runbooks and internal tooling • Actively mentor engineers and interns, serving as a technical guide to elevate the team’s overall capability.

• Architect and break down ambiguous product problems into concrete, well-scoped tasks for agents to execute and ship full-stack features, owning work from design through production release. • Design and operate complex agent orchestration systems that ship real product features. • Design APIs and data models that are clean, consistent, and built to last, not just fast to write. • Contribute to our AI-first engineering culture, share patterns, document what works, and help the team level up on how we build with AI. • Use AI tools fluently - Claude Code, Augment, or equivalent- to compress implementation time, then critically review everything that comes out of them. • Collaborate closely with Product and Design to identify gaps in specs, surface edge cases early, and push back when something isn't ready to ship. • Set the quality bar: well-structured, maintainable code; conduct thorough code reviews; maintain adequate test coverage; and catch bugs introduced by AI before they reach production.

• Design, develop, and test software systems and applications incorporating AI capabilities • Architect cloud-native solutions using microservices and containerization • Build and maintain Kafka-based stream processing components • Implement and maintain cloud infrastructure using AWS services • Collaborate with TR Labs and research scientists to integrate new search capabilities

APPLICATION INSTRUCTIONS: - CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. - CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. - If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS The Food Science Department in the College of Agricultural Sciences is looking for a part-time teaching assistant for Food Science 105 (Food Facts and Fads). The ideal candidate will be available 5-20 hours per week, with flexible scheduling based on workload. The TA will work remotely and will be responsible for grading assignments. The TA will meet with the instructor online to review grading criteria and any questions that arise as well as communicating progress with the instructor. Responsibilities include: - Grading assignments following a grading rubric provided by instructor - Communicate feedback to students - Provide status updates to the instructor - Perform other duties as assigned (ex: keep track of assignment extensions) Candidates must be able to work independently and meet deadlines remotely. Good communication skills are necessary. Experience with Canvas is preferred. Candidates who have previously taken FDSC 105 and/or are FDSC majors are preferred. BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police Criminal Background Check, PA Child Abuse History Clearance Form, and Federal (FBI) Fingerprint Criminal Background Check. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines