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 codeExperience 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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