Software Engineer 2

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Genomics, Healthcare TechnologyIndustries

Requirements

Candidates should have experience with cloud computing platforms like Amazon AWS, Microsoft Azure, or Google GCP, and experience using Docker, ideally with orchestration platforms such as Kubernetes. Extensive knowledge and experience with .NET Core, C#, or other object-oriented languages, building and consuming REST APIs, RDBMS such as AWS-RDS, PostgreSQL or MySQL, and message queues like AWS-SQS, Apache Kafka, or RabbitMQ are required. Familiarity with software engineering principles such as agile methodologies, scrum, DevOps, and continuous integration is also necessary. Preferred qualifications include knowledge of Python, Javascript/Typescript, or Java, at least a B.Sc. in Computer Science, Bioinformatics, or a related field, and experience in biotech and bioinformatics.

Responsibilities

The Software Engineer 2 will design and develop distributed cloud software applications for managing, analyzing, and interpreting Next Generation DNA Sequencing (NGS) data. This role involves evaluating and implementing suitable cloud alternatives, developing and maintaining .NET-based microservices, and displaying a passion for clean code, loose coupling, and clean architectures. The engineer will be a results-oriented, hyper-collaborator, leading design sessions, pair programming, and code reviews. They will also demonstrate a passion for leading-edge development practices like Continuous Integration/Delivery and DevOps, develop sustainable, automated deployment and build processes, and practice software engineering principles such as agile methodologies, scrum, and continuous integration.

Skills

.NET framework

cloud applications

microservices

distributed systems

NGS data

Continuous Integration

Continuous Delivery

DevOps

REST

Agile methodologies

Scrum

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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