Principal Software Engineer
$50 per hourThomson Reuters
Principal Software Engineer
The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.
As a Principal 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.
About the Role
In this opportunity as Principal Engineer, you will:
- 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.
About You
You're a fit for the role of Principal Engineer, AI if your background includes:
- 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
- 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
Additional preferred qualifications include:
- 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.
What's in it For You?
- Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.
Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Base pay is positioned within the range based on several factors including an individual's knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
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