Senior Backend Engineer, Data Systems (AI)

TL;DR

Senior Backend Engineer, Data Systems (Python/PostgreSQL): Designing the core data architecture and scalable backend services for an AI infrastructure platform with an accent on relational data modeling and PostgreSQL schema design. Focus on building data ingestion pipelines, defining data contracts, and solving complex data modeling challenges for mission-critical industries.

Location: Boston, MA (Hybrid/Remote)

Salary: $180,000–$300,000 + equity

Company

An AI infrastructure startup building mission-critical software for the defense, aerospace, automotive, and semiconductor industries.

What you will do

• Design scalable relational data models and PostgreSQL schemas.
• Build backend services and APIs using Python.
• Develop data ingestion and normalization pipelines.
• Model business rules through clean, configurable data structures.
• Define data contracts across services and APIs.

Requirements

• 5+ years of backend engineering experience.
• Deep expertise in PostgreSQL and SQL.
• Strong proficiency in Python.
• Experience with SQLAlchemy, Alembic, or similar tools.
• Excellent data modeling and database design skills.

Nice to have

• Experience with PostGIS.
• Knowledge of event-driven systems or versioned datasets.
• Experience in defense or aerospace domains.

Culture & Benefits

• Competitive base salary ranging from $180,000 to $300,000.
• Equity compensation packages.
• Opportunity to work at a fast-growing startup with over $130M raised.
• Flexible work arrangement (Hybrid/Remote in Boston).