Software Engineering Lead, Innovation Team

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Requirements:

• 10+ years of full-stack software engineering experience (Javascript/TypeScript, Python, Node.js, Flutter).
• 2+ years leading technical teams or driving architectural decisions in high-scale environments.
• Expertise in PostgreSQL, NoSQL (Graph DB, Vector DB), and cloud computing (AWS, GCP, or Azure).
• Hands-on experience with AI/ML models, LLMs, RAG implementations, and agent-based architectures.
• Strong proficiency in JavaScript frameworks (Node.js, Deno is a plus).
• Extensive knowledge of CI/CD pipelines, DevOps practices, containerization (Docker, Kubernetes), and observability tools.
• Experience in serverless technologies, Supabase, Deno Edge Functions
• Deep understanding of software security best practices (OAuth, JWT, encryption, secure APIs).
• Proven ability to mentor engineers, lead complex projects, and make data-driven decisions.
• Comfortable in a fast-paced, high-ambiguity, and experimentation-driven environment.
• Excellent communication skills, able to present technical solutions to both technical and non-technical stakeholders.
• Self-directed and able to drive projects from ideation to implementation with minimal oversight.

Responsibilities:

• Define and execute the technical vision and roadmap for early-stage products and prototypes.
• Architect and develop scalable full-stack solutions, ensuring high performance, security, and maintainability.
• Integrate AI/ML models, LLMs, agent-based systems, and data-driven features into products.
• Conduct technical deep dives, system optimizations, and architecture reviews to enhance efficiency.
• Stay ahead of emerging technologies, frameworks, and industry trends, identifying innovation opportunities.
• Mentor and coach engineers, fostering a high-performance engineering culture.
• Provide hands-on guidance in code reviews, architectural decisions, and problem-solving.
• Collaborate closely with Product, UX, and Business teams to align technical solutions with business goals.
• Lead by example, implementing best practices in software development, DevOps, and cloud infrastructure.
• Champion cross-team knowledge sharing and ensure innovation best practices are adopted.
• Balance rapid prototyping with long-term scalability, ensuring seamless transitions to production.
• Define and implement best practices for CI/CD, cloud deployment, monitoring, and observability.
• Lead teams through the full software development lifecycle (SDLC), from ideation to production.
• Optimize scalability, security, and performance across services.
• Ensure projects are delivered on time, within scope, and ready for production.