Solutions Engineer
Solutions Engineer deploys and operates AI-powered document extraction services in customer Kubernetes environments, diagnosing issues, optimizing pipelines, and building Python tools while collaborating with customer and internal teams. Requires 2+ years production systems experience and strong infra skills.
About the job
Responsibilities
- Deploy, operate, and debug Pulse services in Kubernetes-based environments
- Work directly with customers to support production rollouts, pilots, and ongoing operations
- Configure and optimize extraction pipelines, schemas, and validation workflows
- Diagnose accuracy, latency, and infrastructure issues across distributed systems
- Build internal tools and customer-facing utilities in Python to support deployments
- Support API integrations, webhooks, and downstream data delivery workflows
- Collaborate with core engineering to surface product gaps and improve platform reliability
- Own operational excellence for customer-facing deployments, including monitoring and incident response
Requirements
- 2+ years building and operating production systems (new grads with strong infra experience considered)
- Strong experience with Kubernetes, including deploying, debugging, and operating services in production
- Proficiency in Python for backend services, tooling, and automation
- Experience working with APIs, distributed systems, and asynchronous workflows
- Comfort working directly with customer engineering teams on technical deployments
- Strong debugging skills across application, infrastructure, and data layers
- Clear written and verbal communication, with a bias toward ownership and execution
Nice to Have
- Experience running workloads on AWS, GCP, or Azure
- Familiarity with Docker, Helm, Terraform, or similar tooling
- Experience with observability tooling (metrics, logs, tracing)
- Background in data infrastructure, ML platforms, or document processing systems
Compensation and Benefits
- Competitive base salary plus equity
- Performance-based bonus
- Relocation assistance for Bay Area moves
- Daily meal stipend
- Medical, vision, and dental coverage
Skills
Kubernetes, Python, APIs, Distributed Systems, Docker, Helm, Terraform, AWS, GCP, Azure
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