Principal Backend Software Engineer

About Us

Yahoo Finance is the world's #1 finance destination, empowering investors with news, information, and tools to make financial decisions with confidence. Trusted by over 150M visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high‑quality real‑time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and much more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity.

As a Principal Software Engineer, you will have an opportunity to collaborate/engage with key stakeholders in defining an exciting and ambitious forward‑looking strategy for the AI platform of Yahoo Finance. You will be part of a highly motivated, energetic team, building an amazing platform for LLM‑powered content generation, processing, and serving. You will be working on enabling Yahoo Finance products to deliver quality experience.

• Define and lead the vision for building scalable AI pipeline components, databases, and API endpoints
• Design event‑driven microservices architectures for processing large‑scale financial datasets
• Write production and prototype code for containerized data processing workflows
• Collaborate with product and engineering teams to gather requirements and drive feature development
• Develop integrations with multiple LLM providers and machine learning platforms
• Implement real‑time data processing pipelines with message queuing and fanout patterns
• Collaborate effectively as both a visionary leader, a team player, individual contributor, and mentor junior engineers

• Strong computer science fundamentals (MS or equivalent in CS):
  Python, data structures, algorithms, distributed systems and information retrieval
• 5+ years experience in platform engineering with focus on data‑intensive applications
• Experience with ETL/ELT processing and data management tools
• Deep functional knowledge and hands‑on experience with: AWS cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes), IaC (Terraform)
• An excellent understanding of networking, I/O, and Linux/Unix
• Strong coding background; experience writing production code
• Excellent communication skills

• Experience building AI applications and LLM integrations
• Familiarity with machine learning concepts and model deployment
• Knowledge of vector databases and retrieval systems
• Experience with prompt engineering and AI workflow orchestration
• Understanding of financial datasets and market data processing
• Experience with financial APIs and real‑time data feeds
• Knowledge of financial analysis concepts and metrics
• Familiarity with regulatory data processing requirements

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don't require regular office attendance, you may occasionally be asked to attend in‑person events or team sessions. You'll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal‑opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law.

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