Senior Software Engineer

Job not on LinkedIn

🕒 September 1

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $200k - $220k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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geekoffice

WebsiteLinkedInAll Job Openings

1 - 10 employees

🔌 API

🛍️ eCommerce

API • eCommerce

GeekOffice is your missing team—an engineering and digital product development partner. We build everything from custom designed websites, to mobile apps to full stack platforms. Our network of engineers, designers, and systems thinkers come alongside your teams to build product and enable your business strategy. Your stuff is important, let us help you build it right.

📋 Description

• Own features end to end from idea to production across front-end interfaces, APIs, business logic, databases, integrations, and infrastructure • Build responsive, reliable, maintainable front-end functionality with understanding of underlying systems and data • Design and build scalable Node.js and TypeScript services and APIs • Use AI-assisted development and coding agents throughout the daily workflow • Experiment with AI-enabled workflows and improve engineering productivity practices • Build AI-powered product capabilities using LLMs, retrieval, agents, and intelligent automation • Conduct rigorous code reviews, mentor engineers, and share techniques and patterns • Identify and resolve bottlenecks across browser, network, application, database, and infrastructure • Investigate production problems across the whole system and drive them to resolution • Integrate third-party APIs and internal services with reliability, failure handling, observability, and maintainability • Champion secure development practices and system reliability • Collaborate with Product, QA, Support, and engineering teams to turn customer and business problems into software • Ship at least two end-to-end features within the first 90 days • Take point on a production incident and drive resolution and postmortem within the first 90 days • Improve the team's AI-assisted workflow within the first 90 days • Document an opinion on a Fleet360 architecture change within the first 90 days • Take ownership of a significant Fleet360 domain by the end of year one • Ship an AI-powered customer-facing capability by the end of year one • Measurably improve a tracked engineering metric by the end of year one • Change how at least two other engineers work by the end of year one

🎯 Requirements

• 5–7+ years of professional software engineering experience with real ownership of production software • Genuine full-stack capability across browser, API, database, infrastructure, and third-party integrations • Production-scale Node.js and TypeScript experience • Ability to design well-designed APIs and services that hold up under real load • Deep relational database ability, including schema design, SQL writing and optimization, performance diagnosis, data integrity, and concurrency • Daily AI-assisted development workflow with engineering judgment • Ability to break problems down, give coding agents useful constraints, evaluate outputs, iterate, and guide them to production quality • Vue.js experience is advantageous; strong React or Angular experience translates well • Experience with browser-side application architecture, component design, state management, asynchronous behavior, performance, and maintainable UX is advantageous • Systems design experience involving services, event-driven patterns, distributed systems, and data flows is advantageous • Experience with messaging and queues such as RabbitMQ, Kafka, or AWS SQS is advantageous • Experience with caching and distributed application patterns, including Redis, is advantageous • Experience with Docker, AWS ECS/EKS, and Kubernetes is advantageous • Observability experience with logs, metrics, traces, profiling, and APM is advantageous • DevOps fundamentals including CI/CD and automated testing are advantageous • Experience building AI-powered product capabilities using LLM APIs, tool/function calling, RAG, embeddings, vector search, structured outputs, and evaluation is advantageous • Bachelor's degree in computer science or a related field is not required • Ability to work agentically with coding agents for multi-file refactors, migrations, and test coverage • Ability to maintain context files, rules, and prompts for team-wide AI tools • Ability to review, understand, challenge, test, improve, and ship AI-generated work • Ability to evaluate AI features and determine when not to use a model • United States work location; student visas are not accepted and sponsorship is not provided • Ability to sit or stand for extended periods and work at a computer for prolonged periods • Occasional travel to corporate headquarters in Glendale, Arizona • Successful completion of a background check and other pre-employment screenings may be required

🏖️ Benefits

• 401(k) with 6% Safe Harbor match (100% vested day one) • Flexible PTO model built on trust and manager-approved time off • Cigna PPO and HSA medical plan options with company contributions ($780–$1,950 annually) • Garner Health HRA program: up to $1,000 individual / $2,000 family reimbursement opportunity • Wellness rewards up to $350 annually • Virtual care and mental health support resources • Company-sponsored dental, vision, EAP, life, STD, LTD, legal plan, and identity theft protection options • Additional employee perks, wellness initiatives, and discount programs • Occasional team gatherings and company lunches/desserts • Reasonable accommodations for qualified individuals with disabilities