Infinity Constellation is a U.S.-based venture studio that builds and launches AI-driven software businesses for professional services industries.
ABOUT LABRYNTH Labrynth accelerates progress by streamlining regulatory complexity. We build AI-powered platforms that navigate complex regulations, generate audit-level documentation, and provide certainty, not shortcuts. Our technology serves clients across heavily regulated industries, including energy, compliance, and government. We operate as a forward-deployed engineering organization: small, high-velocity teams embedded directly with clients to rapidly discover needs and ship production-quality solutions. ABOUT THE ROLE Patent Intelligence is an active Labrynth engagement delivering an AI-assisted patent intelligence platform. The next product is an invite-only B2C platform for personal and team accounts, built as a greenfield product alongside the current application. Because it handles commercially sensitive (and potentially export-controlled) patent material, security is a first-class requirement. This is a contract engagement (Agency / Statement of Work), with an initial term of 60–90 days and the option to extend, reporting to the Patent Project engineering lead and coordinating with GRC, Backend, DevOps/Platform, and Frontend. The Security contractor reviews and adversarially tests the platform's boundaries, account isolation, external identity/access, and application and AI-agent security, and, alongside the live GRC program, drives SOC 2 Type II readiness. The role does not own application authorization policy (Backend) or the secure-defaults / infrastructure substrate (DevOps); it reviews and verifies these rather than building them. Meaningful overlap with US and Australian project hours is required for the weekly sync and incident response. WHAT YOU'LL DO - Threat-model (STRIDE/PASTA) the B2C architecture, focused on account isolation (PostgreSQL forced RLS + account_id, S3, the BFF boundary, Cognito), external access, and the AI/agent surface. - Run adversarial tenant-isolation testing: prove forged, reused, stale, and pooled-connection authorization contexts fail closed under direct runtime-role SQL, and that cross-account denial holds even when BFF route authorization is bypassed in a test harness. - Review the BFF authorization boundary, the Amazon Cognito identity/access model (customer + operator pools), secrets management, and least-privilege IAM. - Verify data-protection controls: encryption in transit/at rest, data classification, customer-content-safe telemetry, S3 Object Lock evidence integrity, and export-controlled content handling. - Map SOC 2 Type II controls and drive evidence collection via Drata, coordinated with GRC, with owners assigned. - Review CI security-gate policy (dependency/container/IaC/secret scanning) and assess AI/LLM risk (prompt injection, tool data-exfiltration, over-broad tool access) across the public read-only MCP surface. - Build incident-response plans and runbooks, coordinate third-party pen tests, and hand over a prioritized remediation backlog and documented security posture. WHAT WE'RE LOOKING FOR - Multi-tenant isolation: hard account isolation via PostgreSQL forced RLS + account_id, transaction-bound authorization contexts, and service/worker roles. - Identity & access: external-user identity/access over Cognito (customer + operator pools); authentication/authorization review and least-privilege roles. - Application security: OWASP Top 10 in practice; threat modeling (STRIDE/PASTA); secure code review across Python/TypeScript services. - Cloud security: securing AWS, IAM, KMS, Secrets Manager, VPC Lattice with IAM authorization, network exposure, safe defaults, S3 public-access blocking and Object Lock. - Compliance (SOC 2 Type II): hands-on evidence workflows; Drata experience strongly valued, coordinating with an active GRC program. - Data protection: encryption in transit/at rest, data classification, and handling of sensitive / export-controlled content. - Secure SDLC & AI risk: reviewing dependency/container/IaC/secret scanning and CI security gates; LLM/agent risks relevant to a public read-only MCP surface. NICE TO HAVE - Export-control / IP-sensitive data handling and client-segregation controls. - Serving legal disclosures / ToS and recording acceptance at onboarding. - Adversarial testing of RLS and pooled-connection authorization contexts. - VPC Lattice service-to-service authorization review (SigV4). - Incident-response tabletop exercises and coordinating third-party pen tests. - Privacy frameworks relevant to the clients' jurisdictions. WHAT WE OFFER - High-impact work at the intersection of AI and critical infrastructure regulation - Direct customer exposure and a seat at the table when we decide what to build - Small team with outsized influence; your field learning shapes the product roadmap - Modern AI-native development environment (Claude Code, Cursor, multi-model orchestration) - Remote-first - Competitive compensation VALUES WE HIRE FOR - Character: integrity and trustworthiness above all - Competency: evoking trust and reliably delivering - Togetherness: family-level support and alignment - Impact: meaningful outcomes over activity - Commitment: ownership and follow-through WHAT'S IN IT FOR YOU Labrynth is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Hourly rates are determined based on factors such as location, relevant experience, skills, internal pay equity, and market conditions. During the interview process, your Talent Acquisition Partner will confirm the hourly rate range applicable to your location. For contractors outside the U.S., compensation is aligned with local market conditions and cost of living. While every engagement is unique, our compensation philosophy is designed to ensure fairness, consistency, and competitiveness across Labrynth. Additional details regarding compensation, contract terms, and the scope of