Alvys is building the operating system for modern freight with a multi-tenant SaaS platform that streamlines day-to-day transportation operations. As a Senior Product Engineer, you will own meaningful product areas end-to-end, leveraging AI to enhance engineering execution and operational ownership.
Responsibilities:
- Product ownership (outcome-driven): Own a product area end-to-end, including problem framing, implementation, rollout, and iteration
- Technical leadership: Lead multi-person projects, write and review design docs, and make sound architectural decisions
- Operational excellence: Build systems that are observable and reliable, participate in incident response, and drive post-incident improvements
- Cross-functional collaboration: Partner closely with Product, Design, and operational stakeholders to ship high-leverage workflow improvements
- Mentorship: Mentor engineers through code reviews, pairing, and setting high standards for quality and product thinking
- Complexity reduction: Identify opportunities to simplify architecture, workflows, and UX to improve both customer experience and developer velocity
Requirements:
- 5+ years of professional software engineering experience, with ownership of production systems
- Strong proficiency in at least one modern programming language (C#, TypeScript, Java/Kotlin, etc.)
- Full-stack capability: you can contribute across backend services and web UI when needed, and you are comfortable working end-to-end (API → data → UI)
- Experience building and operating production software, including debugging, monitoring/alerting, and performance tuning
- Experience with data stores in production (relational and/or NoSQL)
- Experience with at least one major cloud provider (Azure, AWS, or GCP)
- Strong collaboration and communication skills with cross-functional partners (Product, Design, and operations stakeholders)
- AI-first product engineering experience: you have actively used AI to ship product faster (not just experimentation), and you have refined your personal/team workflow over time
- Championing AI adoption: experience introducing AI tooling to a team, setting lightweight standards (prompt/playbook patterns, review practices, safety/quality checks), and helping others level up
- Strong React proficiency: experience building complex, data-heavy UIs in React and TypeScript, including performance, state management, and maintainable component architecture
- Design systems experience: experience building, evolving, or operating within a design system (component libraries, tokens, accessibility, consistency), and partnering effectively with Design
- Experience building and operating large-scale systems, with a focus on reliability, performance, and cost
- Experience with observability and operational rigor (dashboards, alerting, incident response, performance tuning)
- Experience with .NET/C#, CosmosDB, Postgres, Elastic Search, and modern web APIs
- Experience mentoring engineers and raising engineering quality through design reviews, code reviews, and strong technical standards
- Experience in logistics or transportation software is a plus