Senior Full-Stack Software Engineer (Ruby on Rails) #1148

• Knowledge of data engineering, ELT pipelines, or analytics platforms.
• Background in API analytics, anomaly detection, or trend-based error analysis.
• Open-source contributions or a strong public engineering portfolio.
• Domain experience in commercial vehicle, fleet, logistics, or industrial software.

Required

• Travel – 5%
• Due to travel requirements, you must reside in the United States

Show Us What You've Got

Send us your GitHub, code samples, or any artifact that shows how you think and ship, including the workflow you have built around your own work to operate at higher leverage. We are equally interested in what you have shipped and how you got there.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor work visas.

Originally posted on Himalayas

BS/BA or equivalent experience; 6+ years building production web applications, including 3+ years with Ruby on Rails in production.

Technical foundation (required)

• Deep, current experience with Ruby on Rails in production environments.
• Strong proficiency with relational databases, PostgreSQL preferred, including schema design, indexing, and query performance.
• Experience integrating modern front-end frameworks (React, Vue, Angular, or similar) with Rails back ends.
• Strong API design and implementation skills (REST, JSON:API, OpenAPI; GraphQL a plus).
• Working knowledge of AWS, Docker, GitHub, and CI/CD pipelines.
• Practical experience with testing (RSpec, Capybara), performance tooling, observability, and production debugging.

How you work (required)

• Modern tooling fluency.You have already evolved your workflow to take advantage of the latest generation of developer tooling, and you have well-formed opinions about where it earns its keep and where it does not.
• Systems thinking.You instinctively reason about end-to-end behavior, integration points, failure modes, and the second-order effects of design choices.
• High agency and ownership.You take loosely-defined problems and drive them to shipped, operating outcomes, and you stay accountable when things break.
• Quality judgment under leverage.You can move quickly without lowering the bar. You review your own work and the work of your tools with the same rigor.
• Clear written communication.You can explain technical decisions and tradeoffs in writing, precisely enough that teammates, stakeholders, and your toolchain can act on them.

Bonus points for

• Hands-on experience building on top of large language models: evaluations, agent orchestration, or retrieval systems in production.