Senior Software Engineer

Areas of Ownership

• Build and evolve 15Five’s Data Intelligence Platform
• Partner across Data Science and Product Engineering
• Elevate engineering quality and culture

What You’ll Do

• 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.

What You Bring

• 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.

Nice to Have

• Experience with agentic systems or autonomous agents.
• Exposure to DBT, Airflow, Snowflake, Django, or similar technologies.
• Background in HR tech, people systems, or performance management.

Work Schedule

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.