The Role
This is a hands‑on technical leadership role, not a people management position (at least initially). You will operate as a force multiplier for engineering, working across both legacy and greenfield systems to shape the foundation of Cav’s future platform.
You will:
Drive architectural clarity across a stable but complex federal product and a fast‑moving AI‑native product
Identify and extract reusable platform components (e.g., evidence ingestion, control mapping, AI primitives)
Prevent architectural drift and reduce long‑term technical debt while enabling rapid iteration
Partner closely with Engineering, Product, and Security teams to align on scalable system design
Write production‑grade code and lead by example in system design and implementation
Mentor senior engineers and elevate technical decision‑making across the organization
Establish best practices for leveraging AI tools and automation to improve engineering velocity
This role is expected to evolve into a broader leadership position (e.g., Head of Engineering), but the immediate priority is execution and architectural ownership
Key Responsibilities
Define and drive the long‑term technical architecture across multiple products
Build and extract shared services and platform capabilities across systems
Ensure scalability, performance, and security in a highly regulated (federal) environment
Partner with cybersecurity and compliance teams to align with frameworks such as FedRAMP and NIST
Reduce system complexity and improve maintainability of the legacy platform
Guide the AI product toward transparent, scalable, and production‑ready architecture
Make high‑impact technical decisions in ambiguous, fast‑changing environments
Improve developer productivity through tooling, automation, and AI‑assisted workflows
Maintainability Enhancements
Act as a trusted advisor to executive leadership on technical strategy and trade‑offs
Qualifications
8+ years of experience in software engineering, with significant time in startup or high‑growth environments
Proven track record of designing and scaling complex distributed systems
Strong backend engineering expertise (APIs, data pipelines, microservices, or platform architecture)
Experience working across both legacy systems and greenfield development
Solid understanding of cloud‑native architectures (AWS, Azure, or GCP)
Experience working in or alongside cybersecurity, compliance, or regulated environments
Demonstrated ability to make and own high‑stakes architectural decisions
Strong communication skills, with the ability to influence senior technical and business stakeholders
Willingness to be hands‑on and deeply involved in implementation
Desired Experience
Background in cybersecurity platforms or compliance‑driven products (e.g., FedRAMP, NIST, SOC 2)
Experience integrating or building AI/ML‑driven features or platforms
Familiarity with data modeling for complex regulatory or security frameworks
Experience building internal platforms or shared services across multiple products
Prior experience navigating product convergence or platform unification
Exposure to Zero Trust architectures and modern security design principles
Experience mentoring senior engineers or acting as a technical lead across teams
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