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Infrastructure Engineer for Customer Deployments

ReductoSan Francisco Office
On-site Full-time $150K/yr - $150K/yr

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Experience Level

Entry Level

Qualifications

Qualifications:Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in deploying infrastructure in cloud and on-premises environments. Strong understanding of networking, security, and systems administration. Proficient in tools such as Kubernetes, Docker, and CI/CD pipelines. Excellent problem-solving skills and ability to work directly with customers. Strong communication skills to effectively collaborate with cross-functional teams.

About the job

About Reducto

Reducto helps AI teams process complex, real-world enterprise data with high accuracy. Most enterprise information lives in unstructured formats like PDFs and spreadsheets. Our vision models read these documents as effectively as a person, supporting product development, model training, and process automation at scale.

Reducto has seen rapid growth, revenue has increased 8x year-over-year. We work with a range of customers, from leading AI teams such as Harvey, Vanta, and Scale, to major corporations including FAANG companies and top trading firms. With over $100 million raised from investors like A16z, Benchmark, and First Round Capital, we are expanding our team in San Francisco.

Role Overview: Infrastructure Engineer for Customer Deployments

This role focuses on deploying Reducto’s platform into customer environments, which can include Virtual Private Clouds (VPCs) and on-premises bare metal. Each deployment brings its own set of hardware, networking, security, and reliability requirements. The engineer in this position works directly with customer teams to ensure successful, secure, and reliable deployments.

Rather than building internal platforms, this role is about hands-on implementation and direct collaboration with enterprise customers’ infrastructure, security, and platform teams. The work bridges Reducto’s technology with customer systems, requiring both technical depth and strong communication skills.

Main Responsibilities

  • Plan, configure, test, and implement end-to-end deployments of Reducto in customer environments.
  • Work closely with enterprise IT, security, and platform teams to understand their infrastructure and security policies, and design deployment strategies that fit their needs.
  • Develop a deep understanding of the hardware supporting Reducto’s in-house machine learning models to ensure deployments run smoothly on customer systems.
  • Build monitoring, telemetry, and phone-home solutions that provide visibility into customer-managed deployments while maintaining security standards.
  • Troubleshoot and resolve infrastructure issues specific to each customer, such as Kubernetes configuration problems or cloud IAM challenges, to reduce downtime.
  • Lead incident response for customer deployments, maintaining high operational standards.
  • Document best practices and create reusable patterns for future deployments.

Location

This position is based at Reducto’s San Francisco office.

About Reducto

About ReductoReducto is at the forefront of AI data processing, helping teams transform unstructured enterprise data into actionable insights. Our cutting-edge technology allows us to train models that read complex documents as humans do, driving innovation across various industries.

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