Job description
Federato technologies is a venture-backed startup based in Menlo Park, CA looking to secure a full-stack data/architecture engineer. The role will report directly to the CTO and you will be the first non-founder engineering hire. You will be making fundamental development and architectural decisions each and every day and play a significant role in the company’s long term success.
Demonstrated interest in engineering for impact
4+ years of industry experience in data integration, engineering, and system architecture
Work experience delivering significant ML implementations, ideally in an enterprise setting
Broad familiarity with:
The CNCF ecosystem (Docker, Kubernetes, etc) and major cloud vendors
CI/CD and ML Ops – model deployment, versioning, and monitoring
Core security and networking infrastructure in enterprise environments
Event backbone and job pool platforms (Kafka, etc)
Willingness to get hands dirty across a broad variety of internal and client builds
Nice to haves:
Undergraduate or Graduate work in a related field
Familiarity with geospatial and remote sensing implementations
Interest or familiarity in multi-cluster frameworks - Gloo, Istio, VMware Tanzu
Interest or familiarity with Elixir and/or Erlang
Federato is a progressive company committed to the principles of equal employment and affirmative action for all! Pay range will be aligned to market salary and equity expectations for comparable early-stage startups.
All your information will be kept confidential according to EEO guidelines.
Federato technologies is a venture-backed startup based in Menlo Park, CA looking to secure a full-stack data/architecture engineer.
Our founding team has extensive experience in building, researching, and selling machine learning products and came together in search of a product that could leverage these skills for positive impact. Now, we’ve set out to build software that works to address the generation defining issue of economic inequality in the face of climate change. We are running head first at the $150B+ coverage gap that faces the insurance industry as increasingly frequent and severe weather events challenge the status quo.
The problems we wrestle with every day are…
Re-thinking the first principles of state of the art predictive and optimization mechanisms
Doing so in a multi-cloud infrastructure environment with significant security constraints
Enabling a lightweight, low-latency, and consumable UX despite the complexity
The team is looking for talented, driven, and, above all, caring individuals to join us in that journey.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.