Back End Software Engineer

Who We Are
We’re the engine behind smarter growth. By combining Buxton’s predictive analytics, Audiense’s audience intelligence, and Elevar’s server-side tracking, we give brands the power to turn customer behavior into meaningful business outcomes. From SMBs to global enterprises, we help organizations unlock growth with precision and confidence. Backed by private capital, we’re scaling rapidly across industries and markets.


Why This Role Matters
As a Back End Software Engineer, you’ll help architect the systems that power the lifeblood of our platform. You’ll bring robust engineering skills, fresh ideas, and hands-on expertise to projects that directly shape how we deliver value to our customers. This isn’t just about writing code — it’s about helping us scale, innovate, and deliver breakthrough technology that drives smarter decisions and meaningful impact.

Key Responsibilities

  • Build scalable, high-performance software using modern technologies like C#, .NET Core, and ASP.NET.
  • Design and contribute to the system architecture behind our SaaS platform, working hand-in-hand with other engineers, product managers, and designers.
  • Write clean, testable code — and help level up the team’s quality standards through unit tests, automation, and code reviews.
  • Collaborate in brainstorming sessions to shape the future of our products and algorithms.
  • Own tough technical challenges, deliver results on schedule, and contribute to an agile, fast-moving team.
  • Translate user needs into elegant, practical solutions that power exceptional customer outcomes.

What You’ll Bring

  • 2+ years of experience with C#, .NET Framework, .NET Core, or ASP.NET.
  • Proven experience building complex SaaS web applications.
  • Familiarity with microservices development, testing, version control, and design patterns.
  • Basic SQL skills (DML, DDL, tuning — SQL Server experience is a plus).
  • 2+ years of experience with cloud platforms, preferably AWS.
  • 2+ years working with Docker and containerization.
  • Bonus: 1+ year working with geospatial analysis or big data technologies.
  • Bachelor’s degree in Computer Science or a related field preferred (but we care more about your skills and impact).

Bonus Points

  • Passion for scalable architecture and elegant backend solutions.
  • Curiosity about geospatial data and big data challenges.
  • Enthusiasm for sharing knowledge and mentoring others.

Benefits & Compensation

Taking care of our employees and their loved ones is foundational to who we are. We believe in providing best-in-class benefits that are comprehensive, flexible, and accessible. As our most valuable asset, our employees deserve benefits that support and empower them.

  • Competitive total compensation package
  • Comprehensive health, wellness & supplemental benefits
  • Work remotely from almost anywhere in the United States
  • Unlimited paid time off + paid holidays
  • 401(k) with company match
  • Virtual engagement and in-person team meetups

Employment is contingent upon the successful completion of a background check, as we are dedicated to providing a safe and secure work environment for all Buxton stakeholders.

Compensation

Compensation will vary depending on factors including but not limited to experience, specialized skills, internal alignment and a candidate’s home base. Depending on the position offered, other forms of compensation in addition to base pay may be provided as part of a total compensation package, including eligibility to participate in a bonus plan.

Our Commitment to Diversity & EEO Statement

At Buxton, we believe that diversity of thought, background, and experience makes us stronger. We are committed to building an inclusive workplace where everyone feels empowered to bring their authentic selves to work.


Buxton is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. All employment is decided on the basis of qualifications, merit, and business need.

R&D

Remote (United States)

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