Founding Software Engineer - Backend and Infrastructure
Founding engineer owns backend systems and infrastructure for document intelligence and VLM workflows, from R&D to production scale. Requires strong Python backend skills, distributed systems, and cloud/K8s expertise with full ownership mindset.
150k – 300k/yr
On-siteBackend Engineering
About the role
What you Will Do
Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
Design and operate high-throughput, low-latency services in real production environments
Take systems from R&D → production → enterprise scale
Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
Establish best practices for CI/CD, observability, debugging, and incident response
Work closely with the founders and research team to turn research prototypes into production-grade, scalable systems
What We are Looking For
This role is backend & infrastructure-heavy. You should have most of the following:
Experience building and operating scaled production systems
Strong backend engineering skills (Python required; C++/Rust is a major plus)
Experience with distributed systems (microservices, parallel processing, queues, caches like Redis)
Deep familiarity with cloud infrastructure (AWS, GCP, Azure)
Hands-on experience with Docker, Kubernetes, Helm, and infrastructure-as-code (Terraform / Pulumi)
An ownership mindset
Nice to have: Experience serving ML / VLM / GPU-heavy workloads
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