Principal-level engineer setting technical direction for Athena, a distributed vulnerability data clearing house. Owns architecture, data validation, and scaling from prototype to production-grade systems.
220k – 258k
Remote7+ YOEBackend Engineering
About the role
What you'll do
Set the technical direction for the Athena clearing house by making the hard architectural calls on data validation pipelines, customer entitlement systems, workflow orchestration, upstream reconciliation, OSV publication, and coalition interfaces. Scale the team and the product area.
Define and drive the transition from rapid prototyping to a sustainable, production-grade product stack including observability, incident handling, and operational rigor
Partner with staff engineers to establish domain ownership and technical standards across the team
Lead the design of systems that process unstructured vulnerability reports from enterprise customers, deduplicate findings, and surface clean signals to the libraries remediation team
Identify and retire technical debt introduced during the team's high-velocity prototyping phase
Serve as a thought partner on build-vs-buy decisions, capacity planning, and long-term architectural bets
Contribute to a hiring bar that brings in engineers who can sustain serious output without burning out
What we're looking for
A track record of setting technical direction for complex, production-facing distributed systems raising the entire team's ceiling
Deep fluency in Go and experience with GCP and Terraform is a must; polyglot engineers who can pick up new stacks quickly are welcome
Ability to work with messy, unstructured data validating, deduplicating, and extracting signal from real-world enterprise inputs
Experience transitioning teams from fast-moving prototypes to maintainable systems, monitoring, alerting, SLOs, on-call
You've built systems that handle multiple customer types with different entitlements, access levels, and interaction patterns
Comfort operating across the full backend stack workflows, data pipelines, APIs with minimal hand-holding
Opinions about cost-efficient AI usage and resource allocation are a plus
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