Backend/Full-Stack Engineer

HireOn

San Francisco (CA)

Sur place

USD 110 000 - 185 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

A tech firm innovating in construction software is seeking a Backend/Full-Stack Engineer to design and build scalable solutions that unify fragmented systems. You will connect with legacy systems and handle millions of API requests daily. Ideal candidates have 2-4 years of experience in engineering and are committed to working onsite in San Francisco. Competitive compensation included.

Qualifications

  • 2-4+ years of experience in backend or full-stack engineering.
  • Familiarity with cloud infrastructure tools and platforms (e.g., AWS).

Responsabilités

  • Design and build scalable solutions to unify fragmented systems with standardized data objects.
  • Connect with on-premises systems built decades ago and enable modern functionalities.
  • Handle millions of API requests daily, ensuring data efficiency and reduced latency.
  • Develop a robust API layer on top of legacy systems, adhering to SLAs.

Connaissances

Backend engineering
Full-stack development
Cloud infrastructure (e.g., AWS)
System integration
API development

Formation

Bachelor's degree in Computer Science from a top 25 US/Canada university

Description du poste

Job Opportunity: Backend/Full-Stack Engineer

Client: Agave (YC W22)
Position: Full-Time
Location: On-site, San Francisco, CA
Compensation: $110k - $185k + Equity (0.15% - 0.50%)

About Agave: Agave is revolutionizing the $12T global construction industry by modernizing outdated, siloed software systems. We connect these systems through proprietary APIs and a modern UI, enabling construction software companies and teams to automate workflows, save time, and increase profitability. As a Y Combinator (YC W22) company, we are scaling rapidly and seeking top engineering talent to join us in our mission.

Primary Requirements
  • 2–4+ years of experience in backend or full-stack engineering.
  • Familiarity with cloud infrastructure tools and platforms (e.g., AWS).
  • Bachelor’s degree in Computer Science from a top 25 US/Canada university.
  • Commitment to work in-person five days a week in San Francisco.
Secondary Requirements
  • Startup experience, preferably in seed to Series B stages.
  • Strong internship or co-op experience for new graduates.
  • Passion for solving complex technical challenges in a fast-paced startup environment.
Primary Responsibilities

1. System Unification:

  • Design and build scalable solutions to unify fragmented systems under a single standard. This includes developing standardized data objects, models, authentication, account-linking UX, and scalable features like filters and pagination.
  • Conduct deep research on supported systems to implement generic, system-agnostic solutions for new features.

2. Legacy System Integration:

  • Connect with on-premises systems (SQL-based, DLL-based, API-based) built 20-40 years ago, enabling them to function as secure, fast, and reliable modern systems.
  • Implement real-time communication and webhooks for legacy systems lacking native APIs, using tools like web-sockets.

3. Scalability and Optimization:

  • Handle millions of API requests daily, ensuring efficient data storage, retrieval, and caching to reduce latency.
  • Build elegant backend solutions for large-scale data operations and iterate quickly based on customer feedback.

4. Operational Excellence:

  • Develop a robust API layer on top of legacy systems, ensuring reliability and adherence to SLAs.
  • Innovate scalable testing frameworks to catch edge cases and bugs across hundreds of endpoints, enhancing the breadth and depth of our integrations.

5. Full-Stack Development:

  • Build front-end applications that utilize our APIs to improve user experience and API performance.
  • Design and implement features that address customer needs while ensuring our APIs remain world-class.

6. Varied and Unique Challenges:

  • Address high-ambiguity problems by researching and understanding unique system nuances before building integrations.
  • Approach each new integration as a combination of engineering and system archeology, delivering tailored solutions.
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