Job Url: https://apply.workable.com/tetrascience/j/81B363A975/

Job Description: What You Will Do

Be a member of the Tetra data acquisition engineering team building highly performant data management tools for scientific instruments and other data sources
Self-start and make concrete progress in the face of ambiguity or conflicting requirements
Design and develop efficient solutions to extract data from data sources and make it available elsewhere
Address the resiliency, scale, and high availability requirements of these solutions
Deliver a high-quality product following the agile software development methodology
Partner with the product management team to take the vision and ideas and turn them into reality
Be comfortable working with a geographically dispersed team, in various time zones
Learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.
Requirements
What You Have Done

8+ Years of experience designing and developing distributed systems to collect and process large datasets
Proficient with Node.js, Typescript, and associated technologies
Proficient with container technologies like Docker
Proficient with cloud infrastructure providers like AWS, Azure, or GCP
Proficient with threading, parallelism, concurrency, and other distributed system concerns
Familiar with networking concepts like DNS, TLS, tunneling
Experience writing maintainable unit tests, and automated integration tests
Experience with on-premise distributed software and operational support for these, such as logging and alerting
Experience with cross-platform development
Good application debugging skills
Strong communication skills, including technical writing
Bachelors or Masters degree in Computer Science or equivalent major
Experience with Python and associated technologies is a plus
Experience in Life Sciences or scientific data is a big plus!