[Remote] Senior Software Engineer
Note: The job is a remote job and is open to candidates in USA. Pivotly builds software that eliminates manual data entry from mission-critical business workflows through two products. As a Senior Software Engineer at Pivotly, you will design, build, and maintain the backend services that power their AI-automated, human-verified workflow platform, collaborating closely with product, operations, and AI/ML teams.
Responsibilities
- 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
Skills
- 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
- Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience
- Prior experience with data-intensive systems, workflow automation, or AI/ML-driven products is a strong plus
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