Description

The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.

Required Skills & Experience:

  • 5+ years of software engineering experience
  • Strong Python development experience
  • Production MLOps experience
  • Expertise deploying machine learning workloads in AWS
  • Experience designing CI/CD pipelines for model deployment
  • Distributed systems knowledge
  • Infrastructure automation experience
  • Monitoring, telemetry, and observability expertise
  • Experience supporting large-scale production environments

Desired Skills & Experience:

  • IoT or connected-device experience
  • Kafka, Kinesis, or Flink
  • Health-tech or wearable device experience
  • ML platform engineering
  • Cost optimization within cloud environments
  • Real-time inference systems
  • Startup experience
  • Staff-level engineering experience

What You Will Be Doing:

  • Tech Breakdown: 40% AWS Infrastructure, 30% Machine Learning Platform Engineering, 20% Distributed Systems & Data Pipelines, 10% Monitoring & Performance Optimization
  • Daily Responsibilities: 75% Hands On Engineering, 10% Architectural Leadership, 15% Team Collaboration

Key Skills
Education

Any Graduate

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