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The engineer will build and maintain orchestration capabilities using agentic workflows while driving quality through automated testing and code reviews. They will also develop features across the full stack, refactor legacy systems, and collaborate with cross-functional teams to ensure system reliability.
Onfleet is hiring a Full-Stack Engineer based in Latin America or Canada to join one of our cross-functional teams as we build out our Orchestration capabilities. You'll be a core contributor across new feature development, architectural improvements, and system integrations. Your work will span our core platforms, APIs, webhooks, and other integration surfaces, evolving courier and orchestration functionality, and improving internal tooling and developer experience.
The majority of backend work is in Node.js, with Rust in our newer orchestration service, and TypeScript across the web application and full-stack surfaces. Front-end work is in React, with a mix of JavaScript and TypeScript. You'll work across a blend of greenfield development and continual, thoughtful development and refinement of existing systems: creating high-quality, well-tested code, contributing to a healthy Scrum cadence, and helping tame legacy complexity by putting code under test, isolating change boundaries, and simplifying tangled implementations.
This role carries one additional emphasis: quality and automation. Your primary focus will be feature development, but we're looking for someone with strong testing and automation skills as well. Quality will continue to be owned by every engineer on the team, and your expertise and guidance will help the team level up.
If you have strong Computer Science fundamentals, care deeply about quality and craft, and bring a scrutinizing, questioning mindset, we'd love to hear from you.
Our engineers combine Computer Science fundamentals with a principled approach to software development that sets a high bar for quality. We're pragmatic, quality-driven, and deliberate about the tools and practices we adopt.
We code using agents, and nearly 100% of our code is written this way. Success here takes a scrutinizing, questioning mindset: the engineers who thrive are the ones who avoid slop, catch the wrong call before it ships, and drive quality and the right engineering choices forward. Generating code is the easy part; knowing what good looks like, and holding the bar, is the job. To be successful in this role you will need enough expertise in the languages we use to challenge both the code an agent writes and the architecture it proposes.
We also expect every engineer to be an active contributor to how we work, not just a consumer of existing workflows. Improving our agentic workflows, orchestration, and tooling is a core part of the role; we're always looking for ways to raise the team's quality and efficiency, and that's expected from everyone. Desire and excitement for the application of AI to software development are critical to this role. We are seeking candidates who want to work in and maintain leading-edge agentic workflows, and stay there as the models and tools evolve.
Onfleet's culture is one that strongly values diversity in its workplace and we are committed to working with potential team members who can bring diverse perspectives and experience to our company and culture.
We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law.
We highly encourage members of underrepresented groups to apply and we will consider qualified applicants with arrest and conviction records.
The base salary range for this role is $60K USD to $80K USD per year, depending on experience, skills, and background. Where an offer lands within that range reflects the engineering level and the depth of experience a candidate brings to the role.
You need an identity-verified LinkedIn profile to apply. That's the free "Verified" badge, the shield icon next to your name. We check for it, and applications without it don't move forward.
Before any offer, we verify your identity and work history. That includes a live video ID check and reference calls. We use AI, automated systems, and a person to review applications: every application that meets the requirements is also read by an engineering leader or a recruiter. If you misrepresent your identity or experience, the process ends.
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