Platform Architect (back end lead)

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 fastmoving AInative product
• Identify and extract reusable platform components (e.g., evidence ingestion, control mapping, AI primitives)
• Prevent architectural drift and reduce longterm technical debt while enabling rapid iteration
• Partner closely with Engineering, Product, and Security teams to align on scalable system design
• Write productiongrade code and lead by example in system design and implementation
• Mentor senior engineers and elevate technical decisionmaking 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 longterm technical architecture across multiple products creating a shared extensible services backend platform and multiple marketfocused frontends
• Find, extract and transform services in legacy products into shared services in platform that can be utilized by multiple marketfocused applications while reducing complexity and improving maintainability
• Ensure scalability, performance, and security in a highly regulated (federal) environment
• Partner with cybersecurity and compliance teams to align with frameworks such as FedRAMP 20x and NIST RMF
• Extract AI services from AI product into shared platform
• Ensure shared platform and marketfocused applications are transparent, scalable, and possess a productionready architecture
• Make highimpact technical decisions in ambiguous, fastchanging environments
• Improve developer productivity through tooling, automation, and AIassisted workflows
• Act as a trusted advisor to executive leadership on technical strategy and tradeoffs

Qualifications

• 8+ years of experience in software engineering, with significant time in startup or highgrowth 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 cloudnative architectures (AWS, Azure, or GCP)
• Experience working in or alongside cybersecurity, compliance, or regulated environments
• Demonstrated ability to make and own highstakes architectural decisions
• Strong communication skills, with the ability to influence senior technical and business stakeholders
• Willingness to be handson and deeply involved in implementation

Desired Experience

• Background in cybersecurity platforms or compliancedriven products (e.g., FedRAMP, NIST, SOC 2)
• Experience integrating or building AI/MLdriven features or platforms
• Familiarity with data modeling for complex regulatory or security frameworks
• Experience building data pipelines, extracting and transforming data in realtime
• 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