{"id":2599539,"url":"https://alion.io/job/qube-research-technologies-research-platform-software-engineer","title":"Research Platform - Software Engineer","company":{"id":706156,"name":"Qube Research & Technologies","domain":"qube-rt.com","url":"https://alion.io/company/qube-research-and-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":64,"open_postings":177,"ghost_share":0.605,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":162000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6933},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"HPC","optional":false},{"name":"Java","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rust","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-01-20T10:19:59Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-10-17T03:38:07Z","board_verified":true,"closed_at":null,"days_open":269,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":268},"description":"Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.\nAs part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure.\nThis role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling.\nWhat You'll Do\nDesign, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure\nDevelop platform APIs and tooling that improve the productivity of quantitative researchers\nImprove the reliability, scalability, and performance of compute-intensive research workflows\nBuild solutions for scheduling, resource management, observability, and security\nPartner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities\nTake ownership of systems end-to-end, from design and implementation through production operation\nWhat We're Looking For\nRequired\nBS, MS, or PhD in Computer Science or a related field, or equivalent practical experience\n5+ years of experience building and operating large-scale distributed systems in production\nStrong proficiency in C++, Java, Rust, Go, or similar systems languages\nStrong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance\nExperience designing services, platforms, or infrastructure used by other engineers\nPreferred\nExperience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments\nFamiliarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow\nExperience supporting researchers, data scientists, or other highly technical users\nExposure to quantitative finance or large-scale data-intensive environments\nWhy Join QRT?\nSolve challenging distributed systems and infrastructure problems at scale\nBuild platforms that directly accelerate research and innovation\nWork closely with world-class quantitative researchers and engineers\nTake ownership of critical systems in an environment that values technical excellence, autonomy, and impact\nQRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. 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