Full Stack Engineer Full Time

Job Description:

B12’s engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We’re generalists in encouraging each other to experience the full stack, but we’re also aware of each other’s preferences in the stack. For this role in particular, we’re searching for a full-stack engineer who brings strong backend skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company.

We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We’ve baked our research into Orchestra, the system that coordinates our expert and machine teams, and released Orchestra into open source to contribute our software back to the community.

We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology:

• We live on Python/Django and TypeScript/React.
• We store blobs in Amazon’s S3, munch on them in Amazon’s EC2, develop in Docker, and deploy containers to Amazon’s Elastic Beanstalk.
• We believe PostgreSQL should be the first system you consider when thinking about persisting structured data.
• We clean and centralize data in Amazon’s Redshift, and are able to answer almost any question in SQL.
• We leverage AI in our product and our internal tooling, and faced with a landscape in constant flux, try to pick the right model or agent on a task-by-task basis.
• We have near-full test coverage on the backend, and are making progress on our frontend and integration tests.
• We set up continuous integration and deployment because, while this model comes with its own pains, we’ve disliked being on fixed release schedules on previous projects.
• We like to move fast and support point-in-time recovery :).

You’d be a good fit if

• You have at least 4 years of experience building products and systems in production.
• You are an amazing communicator.
• You feel comfortable managing your time and deciding among competing priorities.
• You are passionate about the future of work.
• You enjoy learning and teaching.
• You have some mobile experience.
• You are comfortable working with backend and frontend technologies, but have a deeper background and interest on the backend side.
• You care about and want to contribute to our mission of helping people do meaningful work.

Don’t fear:
We’re somewhat flexible on the number of years of previous experience for this role. We highly favor talent and interest.
Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are.
B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.

How to apply
Please provide:

• A pointer to your CV, resume, LinkedIn profile, or any other summary of your career so far.
• If you have a profile on websites like GitHub or other repositories of open source software, you can provide that as well. If you don’t have one, it’s still very possible for us to get along just fine!
• In addition to the traditional application details, we also ask that you complete a small technical challenge below. Two notes:By virtue of submitting your application via a public platform like GitHub, it’s possible for people to search for projects with “B12” in the repository name/description/contents and see that you have applied. You can obfuscate these details for your privacy, but contact us if you could benefit from a slightly different process to further protect your privacy.
• We’ve never tried a “write code to apply to B12” exercise before, and introduced it because of a recent deluge of AI-generated/AI-mediated applications that has made reviewing inbound applications infeasible for us. We hope that introducing this exercise results in a smaller number of qualified candidates without serving as too much of an impediment. You are welcome to use AI assistance on this exercise (we did!). We imagine we’ll iterate on this experiment, and very much welcome your feedback on your experience.