Senior Software Engineer

• Design challenging, real-world software engineering problems involving feature implementation, bug fixes, code refactoring, and performance optimization
• Create high-quality reference implementations
• Build deterministic verifiers, validation scripts, and comprehensive test cases
• Apply backend expertise in scalable services, APIs, asynchronous processing, and distributed systems
• Analyze software defects, investigate system bottlenecks, and identify root causes
• Design testing strategies, maintain large test suites, diagnose flaky tests, and improve software quality
• Review code for correctness, readability, maintainability, performance, security, and engineering best practices
• Develop refactoring and optimization tasks for AI systems
• Evaluate AI-generated reasoning related to architecture, debugging, algorithms, system design, and implementation decisions
• Document task requirements, expected behavior, test coverage, solution approaches, and verification criteria
• Analyze model failures and refine coding tasks and evaluation methods
• Complete an approximately 30-minute AI interview and technical assessment if required
• Begin first tasks within 24–48 hours of completing onboarding if selected

• Strong professional experience in software engineering, particularly backend development and production-grade systems
• Proficiency in one or more of Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar technologies
• Proven experience designing, building, and maintaining scalable services and APIs
• Strong understanding of data structures, algorithms, system design, and fundamental computer science concepts
• Extensive experience with debugging, troubleshooting, performance optimization, and code review
• Practical experience with automated testing, test design, and software quality assurance
• Ability to identify implementation defects, edge cases, inefficient algorithms, and architectural weaknesses
• Strong understanding of code maintainability, refactoring, reliability, and software engineering best practices
• Excellent analytical, problem-solving, and technical communication skills
• Ability to work independently and exercise sound technical judgment
• Candidates must complete interviews and assessments independently, without assistance from AI tools or other individuals
• Minimum submission requirements apply, with a specified minimum number of tasks per week

• Flexible schedule; choose hours and days, including weekends if desired
• Approximately 15 hours per week
• Output-based compensation for tasks meeting project specifications and acceptance criteria
• Necessary instructions and resources provided during onboarding