• Design and build new product capabilities focused on data cost management, including forecasting, anomaly detection, cost allocation, and related workflows.
• Develop reliable and reusable backend and data-engineering solutions that surface actionable insights for customers.
• Build data pipelines and transformation models that support new product capabilities and identify opportunities for optimization.
• Create and improve data visualization features that communicate performance, query timing, efficiency, and other important metrics clearly.
• Develop resilient, reusable UI components that contribute to a smooth and intuitive product experience.
• Improve application reliability, scalability, and performance through thoughtful engineering practices and system design.
• Own features end to end, from identifying problems and shaping requirements through technical design, implementation, testing, and release.
• Evaluate technical and product tradeoffs to prioritize high-impact solutions and deliver meaningful customer value efficiently.
• Collaborate closely with engineers and senior stakeholders through clear proposals, documentation, code reviews, testing, and effective communication.
• Contribute to a culture of pragmatic execution, continuous improvement, and strong engineering quality.
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Requirements

• 5+ years of relevant software engineering experience, with strong expertise in backend development and data engineering.
• Strong working knowledge of Python, FastAPI, PostgreSQL, dbt, Dagster, and Snowflake.
• Solid understanding of system design and the ability to develop scalable, reliable technical solutions.
• Experience building data pipelines, transformation workflows, backend services, and data-driven product capabilities.
• Strong written and verbal English communication skills, with the ability to collaborate effectively in a distributed environment.
• Demonstrated ability to work independently, take ownership, and remain accountable for outcomes from initial concept through delivery.
• Strong analytical and problem-solving skills, with sound judgment when balancing speed, technical depth, and customer impact.
• Comfortable working in a fast-moving and evolving environment where priorities and requirements may change.
• Strong collaboration skills and a commitment to readable, maintainable code, clear documentation, and thorough testing.
• A proactive, curious, and positive approach to engineering, with genuine enthusiasm for solving challenging problems.
• Familiarity with FinOps, cloud infrastructure cost management, data-warehouse management, or observability is a plus.
• Previous experience working in an early-stage startup or similarly lean engineering environment is advantageous.
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