Principal Software Engineer

About the role

This role is backend-leaning and involves designing and building scalable backend services and APIs that power Noetica's document analysis platform. You will also contribute to frontend features as needed.

Responsibilities

• Design and build scalable backend services and APIs
• Write maintainable, high-performance server-side code and data processing pipelines
• Define clear, efficient API contracts and contribute to service architecture decisions
• Design and craft compositional API primitives to expedite the productionization of document insights
• Build and maintain integrations with third-party services and internal ML systems
• Contribute to frontend features and components as needed to deliver features end-to-end
• Take ownership in engineering excellence and collaborate on code practices and design patterns
• Optimize backend performance for data-intensive backend operations
• Take ownership in developer experience by improving/automating CI/CD and other day-to-day production operations

Requirements

You should have:

• A Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
• 10-12 years of professional full-stack development experience with a strong focus on backend systems
• Proficiency in backend technologies (Node.js, Python, or Go) and API design
• A strong understanding of RESTful APIs, database design, and data modeling
• Familiarity with SQL and NoSQL databases
• Experience with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.)
• Proficiency in TypeScript and React for frontend work
• A foundation in distributed systems, event-driven architectures, and web fundamentals
• Strong communication and collaboration skills
• A self-starting problem-solving approach biased towards action and scope minimization

Qualifications

Preferred qualifications include:

• Experience with microservices architecture and message queues
• Experience building data processing pipelines or working with large-scale data systems
• Familiarity with object-oriented design and functional programming principles
• Experience optimizing backend performance for data-intensive applications
• Interest in language and economics
• The ability to thrive in a high-leverage, fast-paced environment
• Familiarity with technologies like monorepo, jujutsu, mise, pprof, etc.