Senior Software Engineer, 15Five

• 5+ years of software development experience with strong foundations in algorithms, data structures, and design principles
• Proficiency in languages used for data and AI (e.g., Python, Java, C++, Go, Scala) plus SQL and relational/NoSQL databases
• Solid understanding of data engineering concepts: ETL pipelines, data modeling, schema design, enrichment, and governance
• Experience with cloud‑native big‑data environments and optimizing for cost and performance
• Familiarity with Python frameworks (Django is a plus)
• Experience or interest in MLOps, AI model development, or knowledge graphs
• Strong communication skills and comfort collaborating across engineering, product, design, and customer‑facing teams in a remote setting
• Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for!

Desirable

• Reports to: Sr. Director of Engineering
• We’re looking for a Senior Software Engineer to help build and evolve 15Five’s Data Intelligence Platform—the foundation that powers our AI, agentic capabilities, and data‑driven product experiences. You’ll work across a modern tech stack, partner closely with Data Science and Product Engineering, and help define the standards, tooling, and infrastructure that enable our next generation of AI‑powered features
• Build and evolve 15Five’s Data Intelligence Platform
• Partner across Data Science and Product Engineering
• Elevate engineering quality and culture
• Build and enhance the Data Intelligence Platform, including pipelines, tooling, and agentic infrastructure
• Partner with Data Scientists to develop AI platform capabilities, complex models, and agentic applications
• Own and improve existing autonomous agents; design, orchestrate, and deploy new ones across the product
• Implement best practices across software, data, and ML/AI engineering to strengthen our agentic ecosystem
• Build data models and pipelines that support the entire engineering organization
• Design scalable data platform features for ingestion, storage, validation, governance, monitoring, and ETL/reverse‑ETL
• Use AI‑assisted code generation effectively while ensuring code quality, security, and performance
• Review code and architecture, contribute to documentation, and elevate engineering standards
• Bring a product mindset to planning, helping shape vision, goals, and roadmap
• Fully Remote, Monday–Friday. Typical hours align with 7/8am–3/4pm PT or 9am–5pm ET, with flexibility. Some early‑morning meetings may be required to support cross‑time‑zone collaboration