Sr Staff Software Engineer (Genomics)

Location: Singapore - Woodlands - NorthCoast

No salary information provided.

Company

hirify.global develops genomic technologies that support early disease detection, diagnosis, treatment discovery, and broader health equity.

What you will do

• Transform statistical genetics methods, including genome-wide and phenome-wide association testing, into high-performance, scientifically accurate commercial software.
• Design cloud-native lakehouse analysis pipelines that scale to millions of samples and establish reusable low-latency analysis patterns for petabyte-scale data.
• Deliver APIs, web interfaces, and natural-language or agentic query experiences for exploring genomic, cohort, phenotype, and association data.
• Operate and optimize workloads spanning millions of concurrent jobs, including orchestration, monitoring, debugging, fault tolerance, reproducibility, and cloud cost management.
• Partner with bioinformatics scientists, cloud infrastructure engineers, and product management to define product architecture and delivery plans.
• Set technical direction through design reviews, mentorship, rapid prototyping, and hands-on engineering across a globally distributed team.

Requirements

• Degree in Computer Science, Engineering, Bioinformatics, Mathematics, or a related field.
• At least 12 years of related experience with a bachelor's degree, 8 years with a master's degree, 5 years with a PhD, or equivalent experience.
• Experience delivering large-scale cloud data-analysis software using containerization, orchestration, infrastructure automation, and CI/CD.
• Deep knowledge of lakehouse technologies such as Apache Iceberg or Delta Lake, Parquet, Spark, Trino, or Databricks, including table internals, partitioning, compaction, catalog services, and schema evolution.
• Strong systems engineering skills in C/C++ and Python, including concurrency, memory management, SIMD, vectorized processing, and tools such as Apache Arrow, DuckDB, or Velox.
• Experience with distributed workflows, cloud batch or Kubernetes, APIs, numerical validation, reproducibility, technical leadership, and AI tooling for software development.

Nice to have

• Knowledge of statistical genetics, population genomics, association studies, genomic formats, and quality-control practices.
• Experience with TileDB, TileDB-VCF, Hail, GLOW, GenomicsDB, or other genomics-native storage and query stacks.
• Experience commercializing or delivering clinical-grade genomics or life-science data products.
• Experience with agentic workflows, MCP-style integrations, machine learning, deep learning, data governance, and large-scale visualization.
• Experience with cloud cost engineering, including spot capacity, storage tiering, and egress management.

Culture & Benefits

• Inclusive environment focused on belonging, openness, collaboration, and diverse perspectives.
• Employee Resource Groups provide career development, cultural awareness, and social-responsibility opportunities.
• Commitment to equal employment opportunity and pay equity.
• Background checks may be conducted after a conditional offer.
• This position is not eligible for visa sponsorship.