Software EngineerWe are seeking
software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them.
The Role- Work with the AI Engineers and Computational Biologists to design and build high-scale, opinionated APIs that are data/GPU intensive
- Prototype and develop interactive workflow UIs for life-science users
- Iterate on and create data visualization tools that provide users with model results and context to understand them
- Work with users to develop SDK for technical users
- Develop and maintain a secure cloud environment for Valthos data and results.
- Build distributed systems that efficiently/predictably process large-scale user data using both CPUs and GPUs
- Build and maintain the backend infrastructure required for scaling out storage and compute
- Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements.
- Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure.
Qualifications (required)- Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc)
- Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc).
- Preference for working in a fast-paced, autonomous environment
Qualifications (preferred)- Experience working with AWS or other IaaS providers.
- Experience working with large scale data and it's associated technologies (parquet, pandas, etc)
- Experience building data pipelines and asynchronous data processing
- Experience working with biological data (sequences) and bioinformatics tools
- Contributions to open-source projects
If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.
