TurbineOne - Full-Stack Product Engineer
Requirements
• 5+ Years working in full-stack product development positions. • 3+ years experience with strongly typed languages, such as GoLang, C++, C# or Java. • Deep understanding of reactive web frameworks, such as Vue and React. • Experience with API design and best practices for REST, GraphQL and gRPC. • Experience working with a team to develop a maintainable code base using design documents, code reviews, style guides and other industry best practices. • A deep love for iterating closely with design to deliver magical experiences to the end user. • Startup Culture Expectations: • We’re a small, fully remote, team; you have to be self-driven and disciplined. • The teams at TurbineOne thrive on autonomy, trust and solid communication. • While work/life balance is key to preventing burnout, in emergency situations, it is important that key personnel be available and involved. • The mission is key; given the sacrifices of those that serve, we want a team that will work to make every mission we are involved in a success, regardless of what that takes. • Eligibility: • Must be eligible to obtain a clearance with the U.S. government.
Responsibilities
• Deliver edge-focused product experiences, integrating the latest in machine learning and autonomy, to support the missions of intelligence officers, frontline soldiers and security forces around the world. • Work closely with our expert design team to develop novel and intuitive user experiences allowing laypeople to take full advantage of advanced technologies. • Knowing the limits and shortcomings of machine learning, design systems and application flows that, nonetheless, allow machine learning to be a force multiplier for our frontline warfighters. • Collaborate with the infrastructure team, and other product teams, to create an efficient and elegant application stack, taking into account the resource constraints of the edge-focused environments we deploy into. • Work with ML engineers to design and build our internal modeling APIs, making sure they support optimal user experiences on the front end.
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