Product Software Engineer — AI & Scalable Solutions

Meta; Salt Lake City (UT); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta in Utah seeks talented experienced engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems, create new features, and improve products across mobile and web platforms.

You will collaborate with product, design, and operations, set direction for initiatives, mentor peers, architect scalable systems, and drive performance improvements while exploring AI-enabled workflows.

Qualifications

• Experience explaining technical problems using data-driven analysis.
• Proven track record leading complex technical projects.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Skills

Cross-functional collaboration

UI development

Code quality & reviews

Technical leadership

System architecture

Performance optimization

Multiple languages

Ownership of components

Job description

Meta in Utah seeks talented experienced engineers to join our teams building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems, create new features, and improve products across mobile and web platforms.

You will collaborate with product, design, and operations, set direction for initiatives, mentor peers, architect scalable systems, and drive performance improvements while exploring AI-enabled workflows.