Software Engineer 2 at Illumina

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Genomics, HealthcareIndustries

Requirements

Master’s degree in computer science, engineering, or Bachelor’s degree with equivalent experience
Full Stack Developers who are proficient in both frontend and backend coding
Experience in an object-oriented programming language; C# preferred
Demonstrated strong ability to design, develop, and maintain object-oriented multi-threaded .NET applications
Building and consuming REST APIs
RDBMS such as AWS-RDS, PostgreSQL or MySQL
Message Queues (AWS-SQS, Apache Kafka, RabbitMQ or similar)
Able to write robust code that meets product requirements while being lean, maintainable, unit tested, and easy to understand
Excellent problem-solving and troubleshooting skills
Self-starter mentality with excellent communication skills
Be curious, detail oriented, and analytical, with a proven ability to learn quickly
Team-oriented, motivated, taking ownership of assigned tasks
Have proven verbal and written communication skills
Ability to present complex technical information in a clear and concise manner
Passion for technology
Extensive experience writing high quality unit tests against mock objects
Proficient with source control management repositories

Responsibilities

Work as part of Agile scrum teams to design, implement, and test world-class distributed cloud software that powers our industry-leading DNA sequencing and laboratory information systems
Develop and maintain Java / C# / .Net based web application and microservices
Evaluate and propose suitable alternatives for our software architecture, designs, and implementations
Show a passion for leading-edge software development practices
Display a passion for clean code, loose coupling, and clean architectures
Be a results-oriented, hyper-collaborator: leading joint design sessions, pair programming, design and code reviews, etc
Develop sustainable, automated deployment and build processes
Practice software engineering principles such as agile methodologies, scrum and continuous integration
Learn and have fun with some of the smartest people you’ll ever meet!

Skills

Java

.NET

Microservices

Full Stack

Agile

Scrum

Continuous Integration

Cloud

OOP

Web Applications

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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