Senior Software Engineer, Full Stack

About the role

This role is backend-leaning and involves designing and building scalable backend services and APIs that power our document analysis platform. Responsibilities include writing maintainable, high-performance server-side code and data processing pipelines, defining clear API contracts, and collaborating with a talented team of AI/ML PhDs, legal SMEs, and market strategists.

Responsibilities

• Design and build scalable backend services and APIs that power our document analysis platform
• 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 our ever-growing list 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 to ensure long-term maintainability and scalability
• Take ownership in developer experience by improving/automating CI/CD and other day-to-day production operations

Requirements

Requirements include a Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience), 4+ 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, strong understanding of RESTful APIs, database design, and data modeling, experience with SQL and NoSQL databases, familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.), proficiency in TypeScript and React for frontend work, foundation in distributed systems, event-driven architectures, and web fundamentals, strong communication and collaboration skills, self-starting problem-solving approach biased towards action and scope minimization.

Qualifications

• Experience with microservices architecture and message queues
• Understanding of CI/CD fundamentals and experience working in single-tenant architectures
• 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
• Thrives in a high-leverage, fast-paced environment
• Familiarity with technologies like monorepo, jujutsu, mise, pprof, etc.

Skills

• Backend technologies (Node.js, Python, or Go)
• API design
• Database design and data modeling
• Containerization and orchestration platforms (Docker, Kubernetes)
• SQL and NoSQL databases
• TypeScript and React for frontend work
• Distributed systems, event-driven architectures, and web fundamentals
• Microservices architecture and message queues
• CI/CD fundamentals
• Data processing pipelines
• Object-oriented design and functional programming principles
• Backend performance optimization
• Language and economics
• High-leverage, fast-paced environment
• Tech stack like monorepo, jujutsu, mise, pprof, etc.

Benefits

• Hybrid Work Model
• Flexibility & Work-Life Balance
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Make a Real-World Impact

Pay

$127,000 USD - $235,000 USD

Schedule

Not specified