Tech Generalist

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Company: Capchase

Location: Logy Bay, NL A1K 3G2

Description:

Capchase provides flexible payment solutions to B2B software, cloud, and AI companies. Our core product offering, Capchase Pay, is a flexible buy-now-pay-later payment option for B2B SaaS, hardware, and cloud purchases. It helps companies sell more and collect their cash faster.

Capchase was founded in 2020 and is headquartered in NYC. We've provided over $2.5B in funding to thousands of companies and operate in eight countries across North America and Europe. To carry out our mission, we've raised over $1B in capital from some of the best fintech investors and credit facility partners, including QED (Nubank, Klarna), 01 Advisors (Tipalti, MasterClass), Bling Capital (Airtable, GitLab, Lyft, Square), SciFi (Stripe, Brex), and Caffeinated (Opendoor, Airtable).

Some of our achievements:

Supporting thousands of software companies and software buyers
100 Capchasers representing 15+ nationalities
Active in 8 markets Top Decile Growth Ranked #2 across the entire BNPL category, #1 for B2B

In December 2024 we reached the top of the Installment Payment, BNPL category on G2, #1 in B2B, and surpassed 2,000 Vendors and Buyers using Capchase Pay.

Why work with us?

Help accelerate an industry

At Capchase, we're building a category that hasn't existed before-so we mean it when we say every day is different. We're always looking for the brightest minds to join us. We're a diverse team of 15+ nationalities with a shared passion for helping innovative companies thrive. Join the climb with us!

As a Tech Generalist, you'll wear multiple hats and tackle a wide array of challenges across the stack. Whether it's crafting elegant frontends, building robust backends, designing scalable infrastructure, or diving into data science, this is your opportunity to define, build, and iterate in a fast-paced environment.

You'll take ownership of critical systems, make foundational technical decisions, and deliver solutions that directly impact our mission.

What will you do?
  • Build and Scale: Design, develop, and maintain both frontend and backend features, creating beautiful, performant, and secure systems for customers and internal teams.
  • Architect and Optimize: Take our current systems to the next level by evolving architecture, integrating best practices, and ensuring scalability and security across the board.
  • Data Science Meets Engineering: Lead the development of data pipelines, risk analysis engines, and machine learning models to drive creditworthiness scoring and operational insights.
  • Integrate and Automate: Connect with third-party APIs (e.g., Stripe, Plaid, Chargebee) to automate data collection, underwriting, and cash movement processes.
  • Mentor and Lead: Collaborate with and mentor junior engineers, fostering a culture of clean, tested, and performant code.
  • Innovate: Work closely with the product team to ideate and implement solutions that align with business goals while ensuring a seamless user experience.


What are we looking for?

Technical Excellence:
  • 4+ years of experience in software engineering or data science roles, ideally in fast-paced startup environments.
  • Proficient in Node.js and Python, with experience in frameworks like React and nestjs.
  • Deep understanding of building and testing APIs and database systems (PostgreSQL, BigQuery).
  • Familiarity with CI/CD, Docker, and cloud platforms like GCP or AWS.

Full-stack Mastery:
  • From frontend frameworks (React preferred) to backend services and data pipelines, you're ready to own the entire stack.

Data-Driven Mindset:
  • Expertise in machine learning models, risk scoring, and data infrastructure is a big plus.

Startup-Ready:
  • You're adaptable, thrive on wearing multiple hats, and have experience building systems from scratch.

Collaborative Spirit:
  • A natural mentor and team player who thrives in cross-functional environments.


Bonus Points
  • Experience in fintech, payment platforms, or SaaS.
  • Familiarity with Typescript, AI/ML, or container platforms like Kubernetes.
  • Background in credit risk modeling or propensity models.
  • Passion for fostering a strong engineering culture and mentoring others.


Useful info:
  • This role will be 100% remote. If you're based in Madrid or Barcelona, you'd have the option to go to our office with a flexible arrangement
  • Flexible hours
  • Benefits depending on Location
  • Stock options.
  • Check our Tech blog!


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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