Senior Backend | Data Engineer

Key Responsibilities

Backend

• Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
• Build and maintain async-heavy backend services using Python frameworks (e.g., FastAPI) with Pydantic validation.
• Architect scalable data pipelines and orchestrate complex multi-stage data processing workflows.
• Implement and enforce data isolation patterns in shared database environments.
• Design and manage complex data workflows (e.g., additive data changes, diff detection, and selective re-processing).
• Write and maintain OpenAPI contracts that serve as the development spec for cross-functional teams.
• Collaborate with AI/LLM Leads on output validation, deterministic data integration, and system reliability.

Cross-functional

• Craft code that is performant, testable, scalable, and secure.
• Provide accurate status tracking, reporting, and estimation.
• Collaborate with fellow engineers and product leadership to understand requirements.
• Take ownership from technical design through successful delivery.

Minimum Qualifications

• Python 5+ years (primary backend language).
• PostgreSQL & database architecture (RLS, multi-tenancy, schema design).
• FastAPI or equivalent async Python framework.
• Experience with data pipeline orchestration, ETL processes, and async processing.
• 5+ years total software engineering experience with hands-on work in both backend and data engineering.
• Experience in engineering software systems of medium-to-large scope and complexity.
• Contract-first or API-first development – familiarity with OpenAPI, REST API contracts, or similar.
• Familiarity with Agile software development methodologies.
• Proficiency with relational databases and SQL.
• Proficiency in English.

Additional Experience Desired

• Pydantic & JSON schema validation (for structured backend output).
• AWS RDS and managed database services.
• Multi-tenant SaaS architecture patterns.
• Docker & containerization.
• Experience with LLM/AI system integration from a data perspective.
• AWS IAM and secrets management.
• Migration tools (Alembic for Python).
• Testing strategies for data integrity and security (unit, integration).
• Understanding of Software Development Life Cycle (SDLC) and AI SDLC.
• Knowledge of HTTP protocols and serialization formats (JSON, XML).

Benefits

• Medical Insurance benefits as per company policy.
• Life Insurance as per company policy.
• 15 days of paid vacation plus additional days based on tenure.
• Vacation bonus as per local law.
• Sick leave and paid holidays as per local law.
• Profit sharing as per local law.
• Paternity and maternity leave as per local law.
• Marriage, bereavement and graduation leaves as per company policy.
• Christmas bonuses as per local law.
• Work from home allowance as per company policy.
• Punctuality and attendance bonuses as per company policy.
• Food tickets as per company policy.
• Direct deposit of payroll.
• Paid professional certifications.