Cloud Infrastructure Engineer
About the job
- Three to ten or more years of engineering experience.
- Hands-on experience with Kubernetes and Terraform in real-world deployments.
- Experience with distributed systems such as Ray, Dask, or Spark, or similar systems.
- Exposure to Kafka or equivalent message-queue systems.
- Strong programming or scripting skills in Python, Go, or a similar language.
- A track record of building or operating production-grade infrastructure.
- Design and deploy secure, fault-tolerant cloud infrastructure across Amazon Web Services, Microsoft Azure, and Google Cloud Platform using Kubernetes, Terraform, and modern infrastructure-as-code tools.
- Build and optimize compute systems for distributed frameworks such as Ray and Kafka to ensure scalability and reliability.
- Manage GPU resources and scheduling for machine-learning inference, retrieval, and training workloads.
- Implement monitoring, security, and best practices for highly available machine-learning and artificial-intelligence systems.
- Collaborate with machine-learning researchers and data scientists so infrastructure accelerates development.
- Support customers across the Asia-Pacific region and ensure globally scalable systems.
- Experience with GPU scheduling or optimization.
- Prior startup or early-stage experience building systems from scratch.
- Experience supporting machine-learning or artificial-intelligence workloads in production.
About the company
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
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Simplify's Take
What believers are saying
- Zaimler says it runs inside regulated enterprises and supports GDPR, HIPAA, and 23 NYCRR 500.
- PremierAlts lists $35 million raised and a $107 million valuation in February 2026.
- Hiring across San Mateo, New York, Texas, and Bangalore signals active commercialization.
What critics are saying
- Context-layer software faces direct competition from Snowflake, Databricks, and hyperscalers adding native features.
- Enterprise deployments demand deep integrations and governance, dragging sales cycles beyond 2026.
- If regulated customers delay adoption, Zaimler becomes a feature, not a standalone company.
What makes zaimler unique
- Sofus Macskassy and Biswajit Das bring LinkedIn, Meta, Visa, and Truera data-platform pedigree.
- Zaimler auto-infers enterprise ontologies and serves query-time context inside customer VPCs.
- It unifies SAP, Salesforce, and Snowflake data without migration or zero-copy export.
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Benefits
Health Insurance
Flexible PTO
Company Equity