Fullstack Engineer (junior - mid)
🔍 Who are you?
You’re a builder at heart and love shipping code
You have a start-up mentality and understand shipping a feature early and learning from the result is more important than perfecting it
You take ownership and have a strong user-centric mindset
You’re structured but also fast on your feet when changes happen
You're not afraid to get your hands dirty in an unfamiliar part of codebase to get the job done
You’re autonomous and communicative
You have strong opinions that are loosely held. You challenge the status quo but are quick to find common ground
You bring your authentic self to work every day
Most importantly, you're passionate about the impact you could make with us at FOBOH
👷 What you will be doing?
You will be a part of a small and ambitious team, solving interesting problems in beautiful ways. This is an exciting opportunity for someone to come in as an early member of the team to shape and build our product 0 ➡ 1. In this role, you will:
Work across the entire software stack to build our product from design > development > deployment
Collaborate directly with founders and work in a small cross functional team to creatively and swiftly, solve the most important problems for our customer
Architect and implement scalable infrastructure as we grow
Role model engineering best practices for code deployment, review, and development
Ensure high-standards for security, privacy, reliability, performance, and code quality
Work with a stack that includes node.js, typescript, python ReactJS, MongoDB, AWS (open to new tech if it solves problems)
🛠️ What will you need to be successful?
Strong experience with javascript and typescript on the backend and ReactJS on the frontend, familiarity with AWS cloud platform and DevOps.
Have shipped high-quality, cloud native production code (ideally +5 years experience)
Experience building scalable technical architecture, including automated testing, observability tooling, and performant applications.
Experience in early to mid-stage startups or a sense of comfort / adaptability in unstructured, ambiguous environments.
Bonus points! Experience, knowledge or curiosity about artificial intelligence, machine learning, and deep learning techniques. Familiarity with popular AI/ML libraries and frameworks.
A deep sense of ownership from feature design through production release.
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