Note: The job is a remote job and is open to candidates in USA. Meta builds technologies that help people connect, find communities, and grow businesses. The Software Engineer, Infrastructure will build and improve scalable systems and application experiences, optimize performance, lead complex technical initiatives, and provide technical guidance and mentorship.
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) 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, and help onboard new team members
- 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
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Demonstrated experience driving change within an organization and leading complex technical projects
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
- 6+ years relevant experience building large-scale infrastructure applications or similar experience
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Benefits
- Bonus
- Equity
Company Overview