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Salary: USD 230,000 - 270,000 / annual
AiDASH is a climate-tech company leading the PreventionFirst movement for electric utilities, transforming grid resilience through a platform that unifies vegetation, asset, storm, and wildfire intelligence using satellite-first inspection and monitoring. The company serves over 200 customers and has been recognized by Forbes as one of America's Best Startup Employers (4 consecutive years) and by TIME as one of America's Top GreenTech Companies (3 years running).
You will architect and build backend services for new products incubated in product pods, owning multi-tenant SaaS architecture from pilot through production scale. This is a hands-on role where you will write code, ship pilots, and set the technical bar for engineers around you.
Key responsibilities:
- Architect multi-tenant SaaS and distributed backend systems that scale with customer and data growth
- Design PostgreSQL schemas, query patterns, and tenancy isolation models for performance and security
- Build well-structured APIs and expose product capabilities as tool surfaces for AI agents using MCP or similar protocols
- Make and defend language and framework decisions for new pod products, balancing speed to pilot with long-term maintainability
- Take new product ideas from concept to pilot to product, and make the call to stop work that isn't earning its place
- Raise the engineering bar through design reviews, mentoring, and hiring
Requirements:
- 8+ years of backend software engineering experience
- Deep experience architecting multi-tenant SaaS and distributed systems at scale
- Expert PostgreSQL knowledge, including schema design, performance tuning, and tenancy isolation
- Strong API design skills, with hands-on experience or clear depth building tool surfaces for agents (MCP or similar)
- Expert in Java and proficient in Python or TypeScript, with a record of making and defending language and framework choices
- Track record of turning an idea into a pilot and then a product, with judgment to know when to kill one
- Architected a system that is still running in production at scale
- Proven ability to use AI coding tools and agents to rapidly build, evaluate, and ship end-to-end products; candidates will complete a hands-on, AI-assisted product-building interview
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
