Pulse
Production-grade unstructured document extraction
DevOps Engineer
About the role
Overview
Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly.
What makes our tech special is our multi-stage architecture:
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Layout understanding with specialized component detection models
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Low-latency OCR models for targeted extraction
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Advanced reading-order algorithms for complex structures
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Proprietary table structure recognition and parsing
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Fine-tuned vision-language models for charts, tables, and figures
If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.
What we are looking for
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5 days in-office at our San Francisco office
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Eager to learn and adapt quickly
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Prior startup or founding experience is a plus
About the Role
Design and operate a secure platform for multi-tenant and dedicated VPC deployments. Make provisioning, monitoring, and upgrades simple and predictable.
Responsibilities
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Build and maintain Terraform modules and GitHub Actions CI and CD
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Operate EKS, autoscaling, ingress, and secrets management
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Implement SSO, network controls, and audit logging
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Set up logging, metrics, and tracing with clear SLOs
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Drive capacity planning and cost optimization
Requirements
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4+ years in DevOps or platform engineering
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Strong Kubernetes, Terraform, AWS, and Linux fundamentals
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Experience supporting security reviews and compliance evidence
Nice to have
- GPU workloads, Triton Inference Server, HashiCorp Vault
Sponsorship
Sponsorship available.
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.
About Pulse
At Pulse, we're tackling one of the most persistent challenges in data infrastructure - extracting accurate, structured information from complex documents at scale. We've developed a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail.
We're a small but fast-growing team of engineers based in San Francisco, working on technology that's powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We're backed by tier 1 investors and are growing fast.
What makes our tech special is our multi-stage architecture approach to document intelligence:
- Layout understanding with specialized component detection models
- Low-latency OCR models for targeted extraction
- Advanced reading order algorithms for complex document structures
- Proprietary table structure recognition and parsing
- Fine-tuned vision-language models for charts, tables, and figures
If you're passionate about solving complex challenges at the intersection of computer vision, NLP, and data infrastructure, you'll find that at Pulse, your work directly impacts customers and shapes the future of document intelligence.
What Are We Looking For?
- 5 days in-office at our San Francisco office
- Eager to learn and adapt quickly
- Prior startup or founding experience is a plus
Compensation
- Competitive base salary plus equity
- Performance-based bonuses
- Relocation assistance for Bay Area moves
- Daily meal stipends
- Comprehensive medical, vision, and dental coverage
