Software Engineer III

The Integrations Team is responsible for building the ETL pipelines, and data integrations which power Parsec’s analysis tools. This process includes innovative techniques for pulling, formatting, structuring, and testing data for integrity.

We are looking for candidates with a proven track record of delivering software solutions that solve critical business needs. The candidate should be able to refine ambiguous problem spaces into concrete technical requirements, and implement technical solutions satisfying those requirements. They should be able to take ownership of an application, project, or feature and drive it from design to implementation.

Responsibilities:

Lead large projects from inception to execution, architecting systems and agentic workflows that support complex data workflows and large-scale integrations.

Drive technology decisions and shape the overall platform architecture and roadmap, including agentic system design patterns like tool orchestration, context management, human-in-the-loop checkpoints, and reliability strategies for non-deterministic workflows.

Design and implement agentic pipelines that take a first pass on as much engineering work as possible (code, ETL, testing, documentation) while ensuring the resulting output is structured for efficient human validation downstream.

Implement advanced solutions in Go, Python, and TypeScript, ensuring best practices for security, performance, and maintainability, including LLM integration, prompt management, and evaluation harnesses for AI-assisted features.

Oversee and improve cloud infrastructure (preferably GCP) and container orchestration strategies (Kubernetes), integrating advanced data technologies like BigQuery when applicable including async execution patterns, observability tooling, and cost management for AI API consumption at scale.

Mentor Level I and Level II Software Engineers, championing dynamic and innovative development workflows, high standards of quality, and continuous improvement initiatives.

Own the evaluation and governance of AI tools entering the engineering workflow, assessing reliability, security posture, data handling, and vendor risk before team-wide rollout.