Staff Software Engineer, Platform

Job not on LinkedIn

🕒 February 3

🇺🇸 United States – Remote

💵 $170k - $250k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Illumina

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

🧬 Biotechnology

⚕️ Healthcare Insurance

🔬 Science

💰 $750M Post-IPO Debt on 2023-01

Biotechnology • Healthcare Insurance • Science

Illumina is a leading company in the genomics field, providing innovative technologies for the analysis of genetic variation and function. They offer a wide range of products and services, including sequencing platforms, microarray technology, library preparation kits, bioinformatics software, and comprehensive genomic solutions. Illumina's next-generation sequencing platforms are used for various research and clinical applications, such as cancer research, reproductive health, and genetic disease detection. The company is dedicated to improving human health by enabling researchers and clinicians to accelerate their genomic discoveries and applications, ultimately impacting precision medicine and life sciences globally.

📋 Description

• Languages and associated tooling (DSLs, parsers, compilers) for external and internal system abstractions • Architecting and maintaining distributed computing environments. • Simplify system bottlenecks and proactively re-architect foundational abstractions to support scale • Lead core technical initiatives setting high quality foundations in the codebase • Define and scale experimentation, monitoring, reliability, and observability concepts for production systems • Drive improvements to the core Luminai IDE to deliver a stellar experience for end users • Help champion high performance engineering foundations and practices across the codebase

🎯 Requirements

• A minimum of 8+ years of experience as a software engineer, that involves spearheading zero to one engineering projects • Proven track record of shipping high-quality code in challenging projects • Direct experience designing and implementing high performance systems in production, and an understanding of how to navigate key architectural trade-offs • Prior experience or working familiarity with modern infrastructure stack (Kafka, Kubernetes etc.) • Knowledge of parallel computing concepts and distributed systems • Exceptional problem-solving skills and an ability to work across the stack

🏖️ Benefits

• Offers Equity