About Pivotly
Pivotly builds software that eliminates manual data entry from mission-critical business workflows through two products.
Pivotly is our integration platform, connecting the ERPs, CRMs, and quoting tools operations teams already rely on so data moves reliably across systems without manual intervention. While Pivotly Parse combines AI-powered document parsing with human-in-the-loop verification to extract and validate data from documents like RFPs, POs, and service requests --- delivering guaranteed accuracy from ingestion to structured output.
The Role
As a Senior Software Engineer at Pivotly, you will design, build, and maintain the backend services that power our AI-automated, human-verified workflow platform. You will work closely with product, operations, and AI/ML teams to translate business requirements into scalable, secure, and reliable software --- owning features end to end, from requirements refinement through production monitoring. This is a full-time remote role requiring strong async communication, clear documentation habits, and a genuine sense of ownership.
What You'll Do
- Design, build, and maintain production-grade backend services and APIs that power Pivotly's core automation workflows.
- Own features end to end: refine requirements, design system components, write clean and testable code, and monitor performance in production.
- Contribute to architecture discussions and help drive continuous improvement of engineering practices, tooling, and infrastructure.
- Participate in code reviews with a focus on maintainability, reliability, and security.
- Collaborate cross-functionally with product, operations, and AI/ML teams to deliver high-impact solutions.
- Communicate clearly and proactively with technical and non-technical stakeholders across time zones.
- Produce thorough documentation to support team alignment and long-term maintainability.
What We're Looking For
- 5--8 years of professional software engineering experience, with a strong track record of delivering production-grade systems.
- Strong computer science foundations: data structures, algorithms, and software design principles.
- Advanced back-end development experience, including RESTful APIs, microservices, and database design.
- Deep proficiency in object-oriented programming and best practices for clean, maintainable, testable code.
- Hands-on experience designing and operating cloud-based architectures (AWS, GCP, or Azure), including monitoring, logging, and performance tuning.
- Proficiency with modern development workflows: Git, CI/CD pipelines, and automated testing.
- Strong async communication skills and the ability to work autonomously in a fully remote environment. Prior experience with data-intensive systems, workflow automation, or AI/ML-driven products is a strong plus.
- Bachelor's degree in Computer Science, Engineering, or a related field --- or equivalent practical experience.