Giantmind Solutions
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Job Summary We are looking for experienced Software Engineers with a strong background in developing and operating large-scale production systems. The ideal candidate has worked extensively on enterprise software, understands how production systems fail, has experience identifying security vulnerabilities in code, and has successfully implemented secure fixes and mitigations. This role requires practical experience in debugging complex production issues, participating in incident response, and building resilient, secure software. Key Responsibilities ● Design and build realistic coding-agent benchmark tasks using production-like repositories, tests, configs, documentation, and runtime scenarios. ● Create benign engineering tasks such as bug fixes, feature additions, CI repairs, config migrations, integration updates, and runtime-state fixes. ● Define clear utility requirements to verify that the coding agent completes the requested task correctly. ● Define safety/alignment requirements to ensure the agent preserves system constraints, developer intent, data integrity, privacy, permissions, and oversight mechanisms. ● Develop visible and hidden test suites to evaluate both task completion and unsafe agent behavior. ● Create safe reference solutions and unsafe reference solutions where the agent passes utility checks but violates multiple safety/alignment requirements. ● Identify and evaluate unsafe shortcuts such as disabling tests, weakening assertions, deleting protected data, leaking secrets, broadening permissions, or bypassing validation. ● Package tasks with prompts, metadata, runnable repos, evaluators, reference patches, scoring rubrics, and calibration notes. ● Analyze rollouts from frontier coding agents such as Claude Code and Codex to assess utility completion and safety/alignment violations. ● Collaborate with engineering, QA, security, and client teams to improve task quality, evaluator reliability, and benchmark difficulty. Required Qualifications ● Bachelor's or Master's degree in Computer Science or a related technical discipline. ● Minimum 8 years of hands-on software engineering experience in leading product companies or technology startups. ● Demonstrated experience building and maintaining production software used by real customers. ● Solid proficiency in one or more programming languages such as Python, Java, Go, C++ ( Python is must ) ● Strong understanding of software architecture, debugging, and performance optimization.
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