ThirdLaw is building the control layer for AI in the enterprise, addressing safety, compliance, and operational risks associated with LLMs and AI agents.
The company helps IT and Security teams determine if AI behavior is acceptable and enables real-time action when it is not.
The role involves architecting systems that balance latency, correctness, and observability across distributed pipelines.
Responsibilities include architecting and evolving core backend systems, designing streaming data pipelines, defining data models, identifying architectural weaknesses, implementing data ingestion frameworks, optimizing query performance, and maintaining backend APIs and monitoring infrastructure.
Requirements:
Candidates must have 10+ years of backend or data engineering experience, preferably with a focus on distributed systems or streaming architectures.
Proficiency in Golang and/or Python is required, along with experience in gRPC, REST, and Unix/Linux environments.
Applicants should have been the architect behind at least one complex distributed system, ideally involving real-time data, search, or observability, and be able to articulate their design decisions.
Familiarity with schema evolution, ORMs, and data mapping strategies in evolving analytics systems is necessary.
Comfort with Kubernetes and cloud-native services in AWS, GCP, or Azure is expected.
Candidates must possess the ability to debug deeply, reason about performance tradeoffs, and own systems end to end.
Benefits:
The opportunity to be one of the first backend hires, influencing both the product and the development process.
A small, focused team that values autonomy and real impact over titles and management.
The chance to work closely with customers to shape products and ensure AI trust and safety.
A work environment that encourages thoughtful ideas and challenges the norm, fostering a proactive mindset and clear communication.
