What are the responsibilities and job description for the Data Infrastructure Engineer position at ExecutivePlacements.com?
About Zaimler
zaimler is building the semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. Were creating the foundation for AI systems that dont just generate, but retrieve, link, and reason over enterprise knowledge.
In just over a year, weve begun partnering with Fortune 500 design partners in insurance, travel, and technology, deploying semantic AI infrastructure into some of the worlds most complex data ecosystems. Our platform enables enterprises to make data AI-ready from the start: automating ontology creation, data mapping, and retrieval-augmented reasoning at scale.
Our team comes from LinkedIn, Visa, Meta, and Branch, and has spent decades solving data and infrastructure challenges at scale. Backed by top VCs, were building the next foundational layer for enterprise AI.
The Role
Were looking for a Data Infrastructure Engineer to build the foundational distributed data layer that feeds our semantic platform. Youll design, build, and scale systems for high-throughput data ingestion, transformation, and real-time processing.
What Youll Do
zaimler is building the semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. Were creating the foundation for AI systems that dont just generate, but retrieve, link, and reason over enterprise knowledge.
In just over a year, weve begun partnering with Fortune 500 design partners in insurance, travel, and technology, deploying semantic AI infrastructure into some of the worlds most complex data ecosystems. Our platform enables enterprises to make data AI-ready from the start: automating ontology creation, data mapping, and retrieval-augmented reasoning at scale.
Our team comes from LinkedIn, Visa, Meta, and Branch, and has spent decades solving data and infrastructure challenges at scale. Backed by top VCs, were building the next foundational layer for enterprise AI.
The Role
Were looking for a Data Infrastructure Engineer to build the foundational distributed data layer that feeds our semantic platform. Youll design, build, and scale systems for high-throughput data ingestion, transformation, and real-time processing.
What Youll Do
- Build and operate large-scale data pipelines on Spark, Kafka, and Ray.
- Design fault-tolerant streaming and batch systems that move terabytes reliably.
- Optimize data workflows for performance, cost, and latency.
- Collaborate with ML and product engineers to ensure data is discoverable, structured, and queryable.
- Automate deployments with Kubernetes, Terraform, and CI/CD pipelines.
- Monitor, debug, and improve distributed jobs in production.
- Deep experience with distributed data systems (Spark, Kafka, Flink, Ray).
- Strong programming skills (Python, Scala, or Java).
- Comfort with Kubernetes and cloud environments (AWS/GCP/Azure).
- Solid understanding of streaming vs. batch tradeoffs, state management, and scaling patterns.
- Ability to collaborate across data, infra, and ML teams.
- A rare chance to be a founding engineer shaping both company and product direction.
- Competitive salary, benefits, and meaningful equity.
- Work alongside engineers and researchers from LinkedIn, Visa, Meta, and Branch.
- Onsite culture in San Mateo, designed for deep collaboration and high-velocity building.
- Full benefits package (Medical, Dental, Vision, 401k).
- We sponsor H-1B visas and assist with immigration processes.