Full-Time
Cloud Infrastructure Engineer
zaimler
1-10 employees
AI readiness platform for enterprise data
No salary listed
Bengaluru, Karnataka, India
In Person
 DevOps & Infrastructure (1) |
|---|
- We’re open to multiple levels of seniority (3–10+ years of engineering experience).
- Hands-on with Kubernetes and Terraform (real-world deployments, not just exposure).
- Experience with distributed systems (Ray, Dask, Spark, or similar).
- Exposure to Kafka or equivalent message queue systems.
- Strong programming or scripting in Python, Go, or similar.
- Track record of building or operating production-grade infrastructure.
- Architect and deploy secure, fault-tolerant cloud infrastructure across AWS/Azure/GCP, using Kubernetes, Terraform, and modern infrastructure as code tools.
- Enable distributed AI workloads by building and optimizing compute systems for distributed frameworks like Ray and Kafka, ensuring scalability and reliability.
- GPU orchestration by managing GPU resources and scheduling for machine learning inference, retrieval, and training workloads.
- Drive observability and reliability by implementing monitoring, security, and best practices for high-availability machine learning and artificial intelligence systems.
- Collaborate across teams by working hand-in-hand with machine learning researchers and data scientists to ensure infrastructure accelerates development.
- GPU scheduling/optimization experience.
- Prior startup/early-stage build-from-scratch experience.
- Experience supporting machine learning and artificial intelligence workloads in production.
- Founder traits (excited to own infrastructure end-to-end as the first dedicated hire; comfort with ambiguity; thrives in fast-moving, collaborative teams; curiosity and grit).
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'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.
Help us improve and share your feedback! Did you find this helpful?
Your Connections
People at zaimler who can refer or advise you
Benefits
Health Insurance
Flexible PTO
Company Equity