Senior Software Engineer

Vaga não está no LinkedIn

🕒 Setembro 1

🌵 Arizona – Remoto

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💵 $200.000 - $220.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 23%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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geekoffice

1 - 10 funcionários

🔌 API

🛍️ Comércio Eletrônico

API • eCommerce

GeekOffice é o time que faltava para você—um parceiro de desenvolvimento de produtos digitais e engenharia. Construímos desde sites personalizados até aplicativos móveis e plataformas completas. Nossa rede de engenheiros, designers e pensadores de sistemas se integra às suas equipes para desenvolver produtos e viabilizar sua estratégia de negócios. O que você faz é importante, deixe-nos ajudá-lo a construir da melhor forma.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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