Software Design Engineer

TempWorks Software Incorporated; Frisco (TX); Hybrid; USD 125,000 - 160,000; Full time

Job summary

TempWorks Software Incorporated is looking for a Staff Software Engineer, Full Stack to enhance their backend systems and APIs essential for their document analysis platform. With a focus on backend architecture, the role combines collaboration with a skilled team and responsibility for impactful contributions to the platform's performance.

Ideal candidates should have 7-10 years of full-stack development experience, proficiency in Node.js, Python, or Go, and a strong grasp of database systems and RESTful APIs. This hybrid role offers a dynamic work environment and encourages innovation.

Qualifications

• 7-10 years of professional full-stack development experience with a strong focus on backend systems.
• Proficiency in backend technologies like Node.js, Python, or Go.
• Strong understanding of RESTful APIs and database design.

Responsibilities

• Design and build scalable backend services and APIs for document analysis.
• Write maintainable server-side code and data processing pipelines.
• Optimize backend performance for data-intensive applications.

Skills

Full-stack development

Backend systems engineering

API design

Node.js

Python

Go

SQL

NoSQL

Docker

Kubernetes

TypeScript

React

Job description

Hybrid locations As a Staff Software Engineer, Full Stack at Noetica, you'll help build robust backend systems and APIs that power our search-centric web experience that’s core to the workflow of our end users. This role is backend-leaning — you'll spend most of your time on server-side architecture, data processing, and API design, while also contributing to frontend features as needed. You will collaborate with a talented team of AI/ML PhDs, legal SMEs, and market strategists to design, build, and maintain scalable backend services. The backend service you will contribute to is the critical piece between our data product and our end users. Its system architecture decisions will influence the technical direction of our platform and decide our velocity of making impacts. Your contributions will directly impact the performance and reliability of Noetica's core infrastructure.

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
• Work on performance optimization for data-intensive backend operations
• 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

Qualifications

• 7-10 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
• 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
• Thrive in a high-leverage, fast-paced environment
• Familiar with technologies like monorepo, jujutsu, mise, pprof, etc.