OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
We are looking for someone, who would lead INFUSE ’s technology function, scaling a high-performing engineering organization while delivering secure, AI-native products on a modern stack.
Responsibilities
- Own the technology strategy and execution roadmap across backend and frontend, ensuring delivery predictability, quality, and performance.
- Lead and develop engineering leaders and teams (hiring, onboarding, goal setting, performance management, coaching, and career ladders).
- Drive architecture and engineering standards for our stack: Node.js (latest LTS), NestJS, pnpm, esbuild on the backend; React, Vue 3, Vite, pnpm on the frontend (with strong typing practices and modern engineering standards).
- Build an AI-native engineering culture : identify and deliver high-impact AI use cases, set patterns for safe AI adoption, and define developer workflows for rapid iteration with appropriate governance.
- Own edge and security posture with Cloudflare (WAF, DDoS, CDN, access controls as applicable), and ensure resilience, observability, and incident readiness.
- Raise security and compliance maturity: threat modeling, secure SDLC, dependency management, access control, secrets management, vulnerability remediation SLAs, and audit readiness.
- Establish modern engineering operations: delivery metrics, technical debt management, CI/CD expectations, release management, and post-incident reviews.
Requirements