Sr. Platform Engineer - Data Infrastructure

Weave · Remote · Weave - Headquarters (Lehi, UT) ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote
  • Go, Java, or Python
  • Distributed systems
  • Cloud infrastructure

Join the Data Platform Team at Weave to make large-scale data access painless for developers. You will design core components that power features like AI/ML, real-time notifications, and search indexing for thousands of daily customers.

This position offers high autonomy within cross-functional agile teams. You will collaborate with product owners and other engineers to enhance system dependability, security tooling, and data usability.

What you'll do

  • Design core data platform components for business process orchestration
  • Build scalable services for data integration and event processing
  • Evolve product functionality to handle large data volumes and traffic
  • Write high-quality, performant, and testable code
  • Coach team members and share technical expertise
  • Implement functionality across hybrid cloud distributed components
  • Translate product goals into actionable engineering plans with stakeholders

What you'll need

  • 3+ years of experience in back-end languages like Go, Java, or Python
  • Experience moving and storing terabytes of data or hundreds of millions of records
  • Strong understanding of distributed systems and scalable service architecture
  • Expertise in messaging systems and NoSQL technologies like Kafka or Bigtable
  • Experience building solutions on public clouds such as AWS or GCP
  • Proficiency with infrastructure as code and maintaining highly available systems
  • Track record of delivering complex projects in enterprise production environments

Nice to have

  • 5+ years of back-end experience preferably in Java, Go, or Python
  • Background in data analysis and visualization
  • Experience managing distributed data technologies like data lakes or mesh
  • Proficiency with Kubernetes and Google Cloud Platform
  • Background in operations, networking, or DevOps/SRE
  • Experience working in greenfield environments with rapid prototyping

Stack

  • Go
  • Java
  • Python
  • C/C++
  • Kafka
  • Google PubSub
  • Bigtable
  • Spanner
  • Vertica
  • Vitess
  • S3
  • Iceberg
  • AWS
  • GCP
  • Kubernetes

How you'll work

  • Fully remote position
  • Reports to Engineering Manager
  • Cross-functional agile team structure
  • Highly autonomous team environment