Chief Architect

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard's patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace," by Crain's NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company's annual list of the World's Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023. SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody's, Sequoia Capital, GV and Riverwood Capital.

SecurityScorecard is hiring a Chief Architect at a defining moment: we're scaling a new platform already in production, migrating customers off our legacy system, building the architectural foundation for agentic features, and reshaping engineering for an AI-native world.

This is an executive role reporting to the CTO, with a Front-end Architect and AI Architect as direct reports. The core is backend architecture; distributed systems, data flows, and the structural decisions that let a large engineering organization move with confidence. You'll spend most of your time paving the architectural path forward, prototyping to validate decisions, and keeping teams aligned on what they're building and why.

1. Platform Direction and Customer Migration Own the architectural direction for both the evolving new platform and the migration of data and customers off the legacy system. The migration is as much a product experience challenge as a technical one, as customers should finish the process with a clear sense of what they gained. You'll work closely with Product, Engineering, and customer-facing teams across both workstreams simultaneously.
2. Agentic Product Architecture Exercise architectural authority over SecurityScorecard's agentic product capabilities, in close partnership with your AI Architect direct report. Together you'll define how agentic features are designed, integrated, and delivered at production scale — covering agent orchestration, tool integration, state and memory management, and reliability patterns for non-deterministic systems.
3. Engineering Practice Evolution Lead the shift toward AI-assisted and agentic development across the engineering organization. This means defining new patterns for how engineers design, review, and iterate in an AI-native workflow (not just adopting tooling) and building the organizational judgment to apply these capabilities well.

• →Set and maintain architectural direction across the platform, customer migration, and agentic product features
• →Prototype and validate architectural decisions before committing teams at scale
• →Partner with the CTO on technical strategy and engineering roadmap
• →Manage and develop the Front-end Architect and AI Architect, ensuring their work fits cohesively within the overall architecture
• →Define and maintain system-wide standards, patterns, and documentation
• →Mentor senior and staff engineers and measurably elevate technical quality across the org
• →Communicate architectural decisions and trade-offs clearly to executives and customers
• →Develop and maintain a 12–24 month technical roadmap spanning platform infrastructure, APIs, and data architecture

Must-Have

• 12–15+ years of software engineering, with significant time in architectural leadership
• Deep expertise in backend architecture, distributed systems, and data flows at production scale
• Demonstrated experience scaling platforms already in production
• Track record owning large-scale data and customer migrations with smooth end-user outcomes
• Strong experience designing REST APIs at scale; familiarity with gRPC
• Enough breadth to lead and evaluate a Front-end Architect and AI Architect without owning those domains directly
• Ability to communicate complex architectural decisions clearly to executives and customers
• Track record of mentoring senior engineers and shaping engineering culture

Nice-to-Have

• Hands-on experience with AI or agentic systems (agent orchestration, LLM integration, or equivalent); carries significant weight given the scope of this work
• Event-driven architecture experience (Kafka, RabbitMQ)
• GraphQL familiarity
• Experience leading AI-assisted development adoption across an engineering org
• Cybersecurity industry background
• Experience with high-performance C++ or Rust systems

Node.js and TypeScript, React Microfrontend Architecture, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes, Terraform, Helm, ArgoCD, with an actively expanding AI/ML infrastructure. You don't need to have used every tool here, you should be comfortable reasoning across a stack like this and making principled trade-offs within it.