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Senior Software Engineer

ron turley associates

Remote, USA

Full-time

Remote

USD 200000-220000 yearly

Discovered 1 weeks ago

Full-stack software engineeringNode.jsTypeScriptRelational databasesSQL optimizationAI-assisted development

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Full-stack software engineeringNode.jsTypeScript

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Role overview

RTA is hiring a Senior Software Engineer to help build and evolve Fleet360, a fleet-management SaaS platform.

The role has high ownership and impact, including solution shaping, architectural decisions, cross-stack engineering, and raising engineering standards.

The company is developing an AI-first engineering organization and expects engineers to use AI as a force multiplier with sound engineering judgment.

Required experience

5-7+ years of professional software engineering experience with ownership of production software.
Ability to work across browser, API, database, infrastructure, and third-party integrations.
Production-scale Node.js and TypeScript experience building resilient APIs and services.
Deep relational database expertise covering schemas, SQL, performance, integrity, and concurrency.
Daily AI-assisted development experience using coding agents with evaluation, testing, and engineering judgment.

Preferred experience

Vue.js is preferred, while strong React or Angular experience is considered transferable.
Experience with browser architecture, distributed systems, messaging, caching, cloud-native applications, observability, CI/CD, and automated testing is advantageous.
Experience building AI-powered capabilities with LLM APIs, retrieval, agents, embeddings, vector search, or structured outputs is advantageous.
A Bachelor's degree, especially in computer science or a related field, is beneficial but not required.

Core responsibilities

Own features from idea through production across front end, APIs, business logic, databases, integrations, and infrastructure.
Build user experiences and scalable Node.js and TypeScript back-end systems.
Use AI-assisted development daily and improve AI-enabled engineering workflows.
Build AI-powered customer capabilities where they create meaningful value.
Mentor engineers, conduct code reviews, and raise engineering standards.
Resolve performance bottlenecks, production incidents, integration issues, security risks, and reliability problems.
Collaborate with Product, QA, Support, and engineering teams on customer and business problems.

AI engineering practices

Use coding agents for multi-file refactors, migrations, test coverage, debugging, documentation, and repetitive implementation.
Review AI-generated work as rigorously as work from any contributor and test it before release.
Evaluate whether AI features improve through measurable evaluation practices.
Recognize when probabilistic models are inappropriate for compliance, warranty, or inventory information.

Success expectations

By day 90, ship at least two end-to-end features, lead a production incident through resolution and postmortem, improve an AI-assisted workflow, and document an architectural opinion.
By the end of year one, own a significant Fleet360 domain, ship an evaluated AI-powered capability, improve a tracked engineering metric, and influence how other engineers work.

Compensation and work location

Total compensation is between $200,000 and $220,000 per year.
This is a full-time, fully remote role open anywhere in the United States, with occasional travel to the Glendale, Arizona headquarters for team gatherings.
The position is classified as exempt and is not eligible for overtime pay.