Platform Engineer Applied AI

Tek Pyramids
San Francisco, CA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Big Data Cloud Computing Data Infrastructure Distributed Systems Elasticsearch Python (Programming Language) Node.Js Redis Google Cloud Kubernetes Information Technology
+1 more
Apache Kafka

Requirements

Must have startup/data platform experience, Amazon Mechanical Turk or Meta GenAI background, Top 30 CS degree (CA/EUR), and strong Kubernetes, Node.js/Python, Kafka, Redis, Elasticsearch skills., * 6-12 years building and maintaining platform infrastructure with full-stack capabilities

  • Strong experience building production distributed systems or platform infrastructure
  • Cloud: Hands-on experience designing and operating systems on AWS or Google Cloud Platform
  • Experience from one of the following, * Bachelor’s degree in Computer Science from a Top 30 university
  • Kubernetes expertise
  • Strong proficiency in Node.js or Python
  • Experience with Kafka, Redis, and Elasticsearch

Preferred / Strongly Desired

  • Experience in high-growth startup environments
  • Background in large-scale data infrastructure and distributed platforms
  • Strong Individual Contributor (IC) who is still hands-on technically, * Undergraduate degree outside Canada/Europe (unless from a Tier-1 research lab or companies like Micro1, SurgeAI, ScaleAI, etc.)
  • Too senior and no longer an Individual Contributor (IC)
  • Candidates whose experience is only Big Tech that doesn’t specialize in data at scale
  • Career FAANG engineers
  • International students coming from Master’s programs
  • Job hoppers (multiple roles under 1 year within the last 3 years)
  • Extensive contract-only experience

CONTRACTOR, FULL_TIME, PART_TIME

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Demonstrating semantic routing thresholds with the Redis vector library

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Working securely with Node.js path application programming interfaces

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Defining big data and machine learning fundamentals

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Pivoting careers into specialized platform engineering roles

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Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello · World Congress 2022

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