Tech Lead Application Developer - Boston
1 day ago
Job Description Summary
For over forty years HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners As our global firm grows we continue to add individuals who seek a collaborative open-door culture that values diversity and innovative thinking In our collegial environment thats marked by low turnover and high energy youll be inspired to grow and thrive Here you will be encouraged to build on your strengths acquire new skills experiences We are committed to fostering an environment of inclusion that promotes mutual respect among all employees Understanding valuing these differences optimizes the potential both the individual the firm This position will be a hybrid work arrangement You will receive remote workdays per quarter use at your discretion subject manager approval For example you may choose work in office days week remote day weekly typically weeks per quarter leaving additional remote days needed Seated within Quantitative Investment Science group this position leads efforts remove computational bottlenecks also optimizes heavy model execution across platform Engineer own performance strategy establish SLOs mentor team performance-first thinking ensures QIS can support users data complexity slowing down Role suits senior engineers who thrive making systems blazing fast want develop technical direction high-impact quantitative team The ideal candidate someone extensive knowledge Python performance tuning low-level computation Track record dramatically improving system performance improvements Experience setting enforcing SLOs cross-functional collaboration skills Passion finance quantitative systems Profile optimize expensive functions data transformations platform Introduce incremental vectorized computation methods numpy cython rust suitable Establish enforce P95/P99 compute latency efficiency budgets Partner Data Optimization engineer ensure efficient data flow storage computation Mentor members analysis profiling techniques optimization patterns Lead technical build reviews with lens Reduce model runtime hours seconds core bottom-up top-down analytics What bring High-level skill optimizing Python efficiency profiling memory management GIL considerations Extensive experience numpy pandas optimization vectorized computation Production experience cython numba rust for performance-critical code paths Proficiency profiling tools cProfile py-spy memory_profiler flame graphs Understanding database query optimization access patterns Experience establishing tracking PSL production systems Strong system build skills with scalability mind Experience mentoring engineers driving technical standards Familiarity cloud platforms Azure preferred distributed computation patterns Preferred experience financial time series analysis modeling Bachelor Science B.S or Masters Computer Science Mathematics equivalent education Years development experience leading initiatives mentoring engineers #LI-Hybrid Salary Range $160 $240000.00 USD base salary range represents one component total compensation role provided accordance local requirements Role eligible discretionary annual bonus determined based individual overall firm performance In addition salary bonus total compensation include eligibility long-term reward programs comprehensive rewards package including retirement health insurance paid time off wellness programs Total rewards offerings influenced several business factors eligibility certain components vary position geography Please note posted ranges apply outside U.S should not converted currencies proxy for compensation countries >
Job description
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