Cloud Infrastructure Engineer
Free daily job alerts: new jobs like this one, by email.
We confirm your address first. Every email has a one-click unsubscribe.
See a sample email
Sample email, with real jobs open today
Your new matches
New jobs that fit the role, pay and location you choose.
Top-paying open roles
Pay as posted by the employer.
- Engineering Manager, Hardware Platform SecurityAnthropic, San Francisco, CA$485k–625k/yr
- Chief Information Security OfficerMETR, Berkeley$493k–579k/yr
- Principal, AI Transformation, CyberOde with Anthropic, San Francisco$450k–600k/yr
Cleared roles
Postings that mention a clearance requirement.
- Cyber Operations SpecialistDelta Solutions & Strategies, Schriever SFB, CO$95k–100k/yr
- Sr. SQL Database Administrator I (6893)MetroStar, Washington, DC$138k–184k/yr
- Network EngineerAccenture Federal Services, Reston, VA$89k–170k/yr
Remote
- MLOps / DevOps Engineer – AI InfrastructureCreatorIQ, Remote$121k–155k/yr
- Senior Associate, Third Party Risk ManagementUpstart, Remote$91k–145k/yr
- Service Desk Level 1 Analyst (Mexico)DYOPATH, Remote
Every job links to the employer's own application page.
Cloud Infrastructure Engineer at zaimler, Bengaluru (On-site). Posted Aug 25, 2025, last seen on the employer's hiring page Nov 5, 2026. Mentioned in the posting: AWS, Azure, GCP, Kubernetes.
About zaimler zaimler is building the next-generation semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. We’re creating the foundation for AI systems that don’t just generate, but retrieve, link, and reason over enterprise knowledge. In...
Show full description
Key Responsibilities
- Architect & Scale Infra: Design and deploy secure, fault-tolerant cloud infrastructure across AWS/Azure/GCP, using Kubernetes, Terraform, and modern IaC tools.
- Enable Distributed AI Workloads: Build and optimize compute systems for distributed frameworks like Ray and Kafka, ensuring scalability and reliability.
- GPU Orchestration: Manage GPU resources and scheduling for ML inference, retrieval, and training workloads.
- Drive Observability & Reliability: Implement monitoring, security, and best practices for high-availability ML/AI systems.
- Collaborate Across Teams: Work hand-in-hand with ML researchers and data scientists to ensure infra accelerates, not hinders, development.
Who We’re Looking For
- We’re open to multiple levels of seniority (3–10+ years of engineering experience). What matters most is founder mindset + strong infra chops.
- Hands-on with Kubernetes + Terraform (real-world deployments, not just exposure).
- Experience with distributed systems (Ray, Dask, Spark, or similar).
- Exposure to Kafka or equivalent MQ systems.
- Strong programming/scripting in Python, Go, or similar.
- Track record of building or operating production-grade infra.
Nice to Haves
- GPU scheduling/optimization experience.
- Prior startup/early-stage build-from-scratch experience.
- Experience supporting ML/AI workloads in production.
- Founder Traits
- Excited to own infra end-to-end as the first dedicated hire.
- Comfort with ambiguity; thrives in fast-moving, collaborative teams.
- Curiosity + grit: hungry to learn where gaps exist.
Hiring for this role? Feature it
Source: zaimler on Lever. FortHire is not the employer and doesn't take applications. Report a problem or request removal.