Backend Lead

A high-growth, top-tier backed DeepTech startup developing next-generation autonomous AI agents and real-time computer vision platforms.

Backed by world-leading global venture capital funds and elite institutional investors, the company operates a lean, elite engineering team of approximately 15 professionals.

They combine pioneering AI research with high-scale software architectures, offering the agility and massive equity upside of an early-stage venture alongside exceptional financial runway and stability.

Located in a modern tech park in the North Sharon / Carmel Coast area, operating under a flexible hybrid work model (2 days WFH).

Position Overview-

• Lead / Principal Backend Engineer (Python & Distributed Systems) serving as the technical authority and founding architect for a high-throughput, real-time video processing AI platform.

• Designing and scaling distributed, event-driven backend architectures capable of ingestion, streaming, and analyzing live media pipelines at scale.

• Bridging the gap between bleeding-edge computer vision models and resilient cloud/on-premise production environments.

• Interfacing with strategic global customers to understand product constraints, map technical requirements, and drive architectural decisions.

• Mentoring core team members, establishing modern engineering workflows, and executing rigorous code reviews.

• Core Domain & Ecosystem- Backend Architecture, Python, Distributed Systems, Media Infrastructure (FFmpeg, RTSP, Live Video Ingestion), High-Throughput / Real-Time Systems, Event-Driven Architecture, Cloud Providers (AWS & GCP), On-Premise Deployments, AI & Vision Productization.

Requirements

• 6 years of robust, hands-on professional experience dedicated to backend software engineering inside scale-up or high-tech product environments – Mandatory

• Deep, expert-level programming and architectural mastery in Python – Mandatory

• Extensive, proven background designing and building Distributed Systems and high-scale, event-driven backend architectures – Mandatory

• Solid hands-on experience working with video infrastructure and streaming technologies (e.g., RTSP, FFmpeg, live video processing pipelines) – Mandatory

• Deep technical understanding of high-throughput, low-latency architectures and real-time data streaming constraints – Mandatory

• Proficient handling of modern database systems, caching strategies, and robust API design – Mandatory

• Extensive practical experience deploying infrastructure on major cloud platforms (AWS and/or GCP) alongside an understanding of hybrid cloud/on-premise package delivery – Mandatory

• Natural technical leader with experience mentoring engineers, conducting code reviews, and driving engineering excellence by example – Mandatory

• Exceptional problem-solving capabilities with a proactive, startup-oriented ownership mindset – Mandatory