[Remote] Software Engineer, Infrastructure
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 large-scale applications and systems, solve complex technical problems, optimize performance and scalability, and provide technical leadership 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
Company Overview