What you'll do

• Direct the Monolith Evolution: Own the multi-year technical strategy to safely decouple our legacy Python/Jinja monolith into a modern, modular FastAPI architecture using Domain-Driven Design and zero-downtime database migration tactics.
• Drive the AI-Native SDLC: Champion the rollout and adoption of AI-assisted coding tools and AI-augmented workflows across the entire engineering organization, systematically measuring and improving developer productivity.
• Enable AI Feature Development: Treat the internal platform as a product. Guide the development of intuitive SDKs, data pipelines, and internal tools that reduce cognitive load and allow product engineers to easily integrate LLMs and build AI-powered features.
• Lead Application Security (AppSec): Champion a "shift-left" security culture. Embed secure coding practices, automated vulnerability scanning, and threat modeling directly into developer workflows, ensuring our core platform is resilient against modern threats.
• Oversee Core Shared Services: Drive the scale, security, and reliability of enterprise-critical systems, including Identity (AuthN/AuthZ, OAuth2, RBAC), Audit Logs, and high-throughput API & MCP Gateways.
• Navigate Org-Wide Boundaries: Negotiate complex refactoring timelines with Product leaders and collaborate seamlessly with other Engineering teams and DevOps to align our platform capabilities with infrastructure.
• Build a World-Class Organization: Recruit, mentor, and grow a high-performing organization of engineering managers and staff/principal engineers, fostering a culture of architectural pragmatism and deep developer empathy.

Qualifications

• 15+ years of software engineering experience, with at least 5+ years in engineering leadership, including explicitly managing managers and leading multiple teams.
• High AI Fluency: Proven experience architecting systems that support AI features (LLMs, RAG, tool calling) and a track record of driving AI-assisted development tools (AI SDLC) across engineering teams.
• An executive track record of successfully guiding massive monolith-to-modular migrations and decoupling shared database schemas in high-traffic, business-critical environments.
• Deep strategic understanding of Application Security principles, Identity/Access Management (OAuth 2.0, OIDC), and modern API traffic management.
• Strong technical fluency in Python and FastAPI ecosystems, with the ability to guide Staff-level engineers through complex architectural decisions involving both modern APIs and legacy applications.
• Exceptional executive communication skills, with the ability to translate complex technical, security, and AI trade-offs into business value.

Compensation

Compensation for this position includes a base salary, bonus, equity and a variety of benefits. The U.S. base salary range is $230,000 - $285,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

• Health, dental, and vision care for you and your family
• Life insurance
• Mental wellness coverage
• Fertility and growing family support
• Flex Time Off in addition to company-paid holidays
• Paid family leave, medical leave, and bereavement leave policies
• Retirement saving plans
• Allowance to customize your work and technology setup at home
• Annual professional development stipend

Your recruiter can provide additional details about compensation and benefits.