Software engineer

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Software Engineer
Compunnel Inc. • South San Francisco, CA, United States • via LinkedIn
5 hours ago
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
5 years of software development experience
Proven track record of constructing quality, user-friendly tools in a fast-paced
Product Expertise: With 3 years of experience in testing, maintaining, or launching software products, and 1 year in software design and architecture, you'll be a key player
15 more items(s)
Responsibilities
Design, develop, and maintain user-friendly and responsive web UI based software applications on AWS cloud
Develop and maintain backend systems
Develop and maintain asynchronous and/or synchronous integrations between systems
11 more items(s)
More job highlights
Job description
Primary Skills: Java, Spring boot, AWS, SQL, REST API, Microservices

The Position

The Computational Catalyst in the Genentech Research & Early Development (gRED)

Computational Sciences (gCS) organization is seeking a talented and passionate Software

Engineer who loves tackling challenging technology problems and creating architecturally sound, high-quality software that empower scientists and transform critical business strategies.

gCS is on a mission to partner across the organization to realize the potential of data, AI, and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.

Duties Include

Design, develop, and maintain user-friendly and responsive web UI based software applications on AWS cloud

Develop and maintain backend systems

Develop and maintain asynchronous and/or synchronous integrations between systems

Design and optimize SQLand No-SQL database schemas and queries for efficient data storage and retrieval

Contribute code to other cloud based services written in languages like Java, Python,etc.

Write and maintain robust suite of tests to ensure the functionality and integrity of the developed applications

Collaborate cross-functionally with the team to understand user needs and translate them into user-friendly and aesthetic user interfaces

Collaborate closely with a team of scientists to build tools that assist in ground-breaking biology research

Minimum Qualifications

5 years of software development experience

Proven track record of constructing quality, user-friendly tools in a fast-paced

environment

Product Expertise: With 3 years of experience in testing, maintaining, or launching software products, and 1 year in software design and architecture, you'll be a key player

in our success

Understanding of data structures algorithms(DSA) and programming languages like Python Java and Groovy

Ability to identify patterns, develop general-purpose frameworks, and address scalability requirements for data pipelines and database/data warehouse solutions

Ability to quickly acquire new technologies and programming languages

Follow test driven development and clean code patterns.

Use Continuous integration and delivery approach

Experience with cloud computing platforms, especially AWS, AWS services and data

warehouse solutions like Snowflake or Redshift

Demonstrated technical expertise in solving challenging programming and design

problems

Proficiency in developing and optimizing both batch and real-time data pipelines,

encompassing tasks such as data collection, consolidation, normalization, and

scheduling

Team-oriented individuals with strong collaboration, prioritization, and adaptability skills

Effective collaboration with data scientists to refine data models, design improvements,

conduct experiments, and iteratively improve results

Preferred Qualifications

Experience with biological data and processes is a strong plus

Experience working with scientists or in a research environment is advantageous

Proficiency in full-stack development, spanning both back-end (Java, Python) and

front-end (JavaScript or TypeScript, HTML, CSS)

ML and Software Expertise: Utilize your deep knowledge of ML and Software Engineering

Machine Learning skills to unlock the potential of data, technology, and computational approaches.

SQL and no-SQL proficiency

Education

Bachelor’s Degree or higher in Computer Sciences, Data Science, or related fields.

Education: Bachelors Degree