Founding Engineer - Fullstack In Office (Sydney, Australia) | Remote (Australia)

In Office (Sydney, Australia) | Remote (Australia)
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 .NET Core, ReactJS, MongoDB, Azure (open to new tech if it solves problems) 
? What will you need to be successful? Strong experience with .NET Core on the backend and ReactJS on the frontend, familiarity with Azure cloud platform and DevOps. 
Have mid-senior level experience shipping high-quality, cloud native production code
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. 
A deep sense of ownership from feature design through production release. 
Bonus points! Experience, knowledge or curiosity about artificial intelligence, machine learning, and deep learning techniques. Familiarity with popular AI/ML libraries and frameworks. 
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