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.
About the job
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
Compensation
- $150k – $300k
- Equity: 0.1% – 1%
Skills
Python, Kubernetes, Docker, Helm, AWS, GCP, Azure, Terraform, Pulumi, Redis, Distributed Systems, Microservices
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