Full-Time

Backend Engineer

Posted on 3/9/2026

zaimler

zaimler

1-10 employees

AI readiness platform for enterprise data

No salary listed

H1B Sponsorship Available

San Mateo, CA, USA

In Person

Category
Software Engineering (1)
Required Skills
gRPC
Kubernetes
Rust
Python
Grafana
Java
opentelemetry
Role-based Access Control
REST APIs
Helm
Requirements
  • 4+ years of experience building backend services in modern cloud environments
  • Fluent in at least one strongly typed language (Rust, Java, etc.) and comfortable in dynamic ones (Python)
  • Understand distributed systems, service discovery, and observability (OpenTelemetry + Grafana)
  • Experience implementing secure APIs and backend systems, including RBAC, authentication, and authorization patterns
  • Strong opinions on API boundaries, fault tolerance, and making systems boring
  • Enjoy taking vague problems and turning them into clean, testable services
  • Comfortable working in a high-context, fast-moving startup environment with minimal overhead
Responsibilities
  • Design and implement core microservices that handle document ingestion, entity extraction, and graph construction
  • Define and enforce clean service interfaces and communication protocols (e.g., gRPC, REST)
  • Drive schema design and service ownership in a polyglot environment (Java + Rust)
  • Contribute to deployment and runtime infrastructure (Helm, Kubernetes, vLLM, Ray)
  • Build internal tooling and APIs that accelerate downstream teams working on retrieval and ranking
  • Help scale systems as we ingest more enterprise data and expand graph resolution logic
Desired Qualifications
  • Experience working with knowledge graphs, embeddings, or semantic search
  • Familiarity with vLLM, Ray, or distributed compute runtimes
  • Background in data-intensive systems or working with unstructured inputs
  • Exposure to entity resolution, Named Entity Recognition, or schema linking systems

Zaimler builds an enterprise data platform that makes data AI-ready by simplifying and organizing complex datasets for advanced applications. The platform ingests and structures data, automates taxonomy creation and knowledge-graph representations, and enables scalable preparation for machine learning and business intelligence. Led by veterans from LinkedIn, Meta, and Visa, Zaimler targets large-scale enterprises with an emphasis on AI readiness and scalable data infrastructure, backed by venture funding and early design partnerships. Its goal is to become the standard platform that lets large organizations unlock the value of their data through AI-ready infrastructure and scalable AI applications.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Series A funding accelerates scaling of context infrastructure for enterprise AI.
  • $10 trillion TAM in enterprise data preparation and AI readiness.
  • Strong design partner validation signals product-market fit in mid-market segment.

What critics are saying

  • 23 unfilled roles including MLEs delay product deployment versus better-staffed competitors.
  • Databricks Unity Catalog directly competes on ontology automation and data governance.
  • Lack of revenue visibility beyond design partners threatens runway sustainability.

What makes zaimler unique

  • Auto-inferred ontology enables semantic reasoning without manual taxonomy creation.
  • Founding team built knowledge graphs at LinkedIn, Facebook, and Visa.
  • Runtime context graph unifies fragmented enterprise data for AI applications.

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Benefits

Health Insurance

Flexible PTO

Company Equity

INACTIVE