Builds scalable data and ML infrastructure supporting multi-cloud and deployment models. Partners with founders and engineers on core platforms, tooling, and research features for reliable production systems.
180k – 300k/yr
On-siteDevOps / SRE
About the role
What You'll Work On
Design and build the development and production platforms that power our products, enabling reliability and security at scale
Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models
Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience
Partner with researchers and engineers to bring new features and research capabilities to our customers
About You
Have meaningful experience in spearheading and constructing large-scale infrastructure
Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies
Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments
Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks
Take pride in building and operating scalable, reliable, secure systems
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
We would love it if you had
Built out data infrastructure from, or nearly from, scratch at a fast-growing startup
Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML models
Compensation
Base salary: $180,000 to $300,000
Significant equity
100% covered health benefits (medical, vision, and dental)
Platform Engineer building and scaling data ingestion, storage, search, and deployment infrastructure across commercial, FedRAMP High, and IL5 environments. Requires 5+ years in backend/platform/infra roles with deep experience in Postgres, Kubernetes, and TypeScript/Python.
180k – 250k/yr
Hybrid5+ YOEDevOps / SRE
Network Engineer, Design & Engineering
FluidstackNew York, NY +4
Design end-to-end datacenter network architectures for AI training and inference workloads. Own topology selection, fabric design, physical infrastructure integration, and produce deployable HLDs/LLDs across multiple GPU platforms and customer requirements.
180k – 300k/yr
On-site5+ YOEDevOps / SRE
Developer Productivity Engineer
HightouchUnited States
As a Senior Developer Productivity Engineer, you will own the build, test, and deployment processes for a 50+ person engineering team. You will improve monorepo productivity, drive excellence in testing, and support multi-cloud/multi-region infrastructure to enable fast and safe shipping.
180k – 320k/yr
Remote5+ YOEDevOps / SRE
Data Center Network Engineer
BasetenSan Francisco, CA +1
Design and own high-performance data center network infrastructure for GPU clusters, including fabric architecture, cabling, and performance validation. Requires deep experience with InfiniBand, RDMA, or high-performance Ethernet at a senior level.
180k – 360k/yr
Hybrid5+ YOEDevOps / SRE
Infrastructure Engineer (Observability)
Lightning AINew York, NY +2
Builds and operates scalable observability platforms for metrics, logs, traces across GPU, HPC infrastructure. Designs telemetry pipelines, alerting, and multi-tenant systems using Prometheus, Grafana, Kafka; requires 5+ years SRE/infra experience.