Full Stack Engineer

​​​​​​Position: Remote Full Stack Engineer (Backend Emphasis)

Location: Remote

Working hours: Core working hours are 9am to 12pm Eastern Time, but the candidate can work productively outside of those core hours as well.

​​​​​Interview Process to Follow:

• Initial screening interview 

• Take-home assignment or evaluation

• Assignment review with the engineering team

• Live coding exercise with the engineering head

• Character reference checks

• Final interview with the CEO and engineering team

Job Description

Our 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.

Our Technology Stack

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 have direct experience with Python, Django, TypeScript and React.
  
  You have at least 4 years of experience building products and systems in production.

• You are an amazing communicator.

• You can speak English comfortably.

• 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.

• We are 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.

Please share:

• A cover letter explaining why you would be a strong fit for the role. Use this as an opportunity to pitch yourself directly by highlighting your relevant experience, achievements, and motivation for applying.Please include reasons for leaving any roles with short tenure, and share your long-term career plans. We value long-term commitment and wants to ensure a stable, mutually beneficial working relationship going forward.

• What is your expected salary for the role?

• If successful, what is your notice period or how soon would you be able to start?

• Your Github or Portfolio, if you have one.

• An updated and detailed CV. Ensure it includes relevant keywords and highlights key skills and experience you have related to the role.

• The completed Skills Matrix below.

• Video introduction link where you introduce yourself and summarize your experience and key achievements. You don't need to mention the specific role you are applying for—keep it general by highlighting your background, expertise, and what you can bring to your next role. You may use any platform you prefer (Google Drive, Dropbox, Loom, YouTube, etc.). Please ensure that the link is unrestricted and viewable by anyone with the link. It is imperative to have a video introduction to move forward with the application process.

Tips for a professional, well-presented video:

• Record in a quiet, well-lit space with minimal background noise and distractions.

• Dress professionally, as you would for an interview.

• Maintain good posture, speak clearly, and make eye contact with the camera. Remember first impressions last

To help us better understand your technical background for the role, please complete the Skills Matrix below. 

Add your comfort level and months of expereince for each skill

Skills Matrix Template:

Comfort Level Scale (1-5)

1 – No Experience | 2 – Basic Familiarity | 3 – Competent | 4 – Proficient | 5 – Expert

Core Technology Stack

Technology/Skill
Comfort Level (1-5)
Months of Experience

Python (Backend Development)

Django (Web Framework)

PostgreSQL (Relational Database)

TypeScript (Frontend)

React (Frontend Library)

SQL (Complex Querying/Analysis)

Infrastructure & Deployment

Technology/Skill
Comfort Level (1-5)
Months of Experience

AWS (General)

Amazon EC2

Amazon S3

Docker

Amazon Elastic Beanstalk

CI/CD Setup

Backend & Engineering Practices

Technology/Skill
Comfort Level (1-5)
Months of Experience

Backend Design & Architecture

Database Schema Design

Backend Testing (Unit/Integration/E2E)

Data Warehousing / Analytics

AI/ML Integration

PITR / Disaster Recovery Knowledge

N.B All requirements must be submitted for a successful application

 

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