Principal Software Engineer

Founding Engineer, Distributed Systems

Location: full remote

Contract: 250 Eur/MD

Language: English proficiency

Availability: ASAP

About the project: An American startup building infrastructure for cost attribution and observability for AI workflows.

Core Responsibilities:

• Data Architecture Ownership: Ingestion, computation, storage, and systems for dashboard performance and billing accuracy.
• System Design: * Ingest high-volume event data from AI workflows.
• Manage duplicates, late arrivals, and partial failures (idempotency).
• Compute costs and perform historical recomputations.
• Aggregate and serve time-based analytics.
• Scale from thousands to millions of workflow runs.
• Maintain strict tenant isolation in shared environments.
• Evolve systems from batch to streaming while maintaining contracts.

Requirements:

Technical Environment:

• Languages: Go, Python (async/concurrency focus).
• Storage: PostgreSQL (multi-tenant SaaS data models).
• Infrastructure: AWS, Auth0, Stripe.
• Potential Future Stack: Streaming systems (Kafka/Kinesis), time-series/OLAP databases, batch processing (Spark).

Preferred Experience:

• Kafka, Kinesis, or other streaming systems.
• Time-series databases or OLAP systems.
• Spark or large-scale recomputation pipelines.
• Familiarity with OpenTelemetry.

Operational Mindset:

• Preference for simple solutions over complexity.
• Focus on failure modes, data contracts, and backward compatibility.
• Ownership-driven approach with a focus on evolutionary design.