About the role
We’re looking for a Founding Software Engineer to build the distributed software foundation powering Spacture’s next-generation AI video intelligence platform. You’ll develop microservices and core infrastructure that handle real-time media streaming, data processing, and model inference across edge and cloud systems.
This role combines deep systems thinking with scalable product design. You’ll help define and implement the frameworks, APIs, and data flows that tie together hundreds of intelligent devices and users worldwide. As an early engineering leader, you’ll help shape Spacture’s technical culture, architecture, and roadmap.
Responsibilities
Design, build, and deploy scalable, reliable microservices for video streaming, media processing, and inference coordination.
Develop APIs and orchestration layers connecting edge devices, cloud infrastructure, and client applications.
Collaborate with ML and systems engineers to integrate computer vision models into real-time software services.
Optimize system performance and scalability for live, distributed vision workloads.
Ensure reliability, observability, and security in production environments.
Influence architecture decisions and mentor engineers as a founding software member.
Qualifications
5+ years of experience in backend or distributed systems engineering.
Strong proficiency in C++, Python, or similar languages for high-performance microservices.
Deep understanding of cloud-native infrastructure (AWS, GCP, or Azure).
Familiarity with video and media streaming technologies (RTSP, HLS, WebRTC, FFmpeg, etc.).
Experience deploying and scaling containerized services (Docker, Kubernetes).
Knowledge of distributed messaging, event streaming, or data pipelines.
Strong fundamentals in networking, APIs, and secure service communication.
Ability to work cross-functionally with ML, infra, and product teams in a fast-paced environment.
Bonus skills
Experience with edge computing, hybrid cloud-edge orchestration, or IoT connectivity.
Familiarity with serverless streaming architectures or low-latency transport protocols.
Knowledge of monitoring, tracing, and reliability engineering (Grafana, Prometheus, OpenTelemetry).
Background in real-time analytics, video delivery optimization, or scalable backend frameworks.
Why join
Help build foundational infrastructure for distributed AI video intelligence.
Founding-level equity and ownership of software architecture and platform direction.
Work directly with ML and systems engineers shaping cutting-edge real-world deployments.
Step into a leadership role in a high-growth, venture-backed AI security startup.
Compensation
An equity package aligned with early founding team members, with standard vesting terms.
