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PI

Protingent, Inc.

via DailyRemote

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Principal Software Engineer, ML Infrastructure

Anywhere
full-time
Posted 11/20/2025
Verified Source
Key Skills:
Kubernetes
Distributed Systems
Python
Go
Cloud Platforms (AWS, GCP, Azure)
Infrastructure Services
High-throughput Data Processing

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Architect and lead development of scalable distributed infrastructure services on Kubernetes, mentor engineers, and build complex platform components.

Requirements

7+ years experience, Kubernetes expertise, proficiency in Python or Go, cloud platform experience, and leadership of complex projects.

Full Description

Job Responsibilities: • Architect and lead the development of highly scalable, distributed infrastructure services on Kubernetes. • Set the technical vision and roadmap for the team, making high-impact decisions that accelerate AV development. • Mentor and guide other engineers on the team, elevating the group's technical abilities through design reviews, pair programming, and direct feedback. • Get hands-on to build and deploy the most complex components of the platform, from high-throughput data processing services to core compute orchestration. Job Qualifications: • 7+ years of professional software engineering experience. • BS, MS, or PhD in Computer Science or a related technical field. • Hands-on experience with Kubernetes (k8s) is a must. You have designed, built, and operated critical services on Kubernetes at a significant scale. • Proven experience building large-scale infrastructure. You have a deep understanding of the challenges in developing high-throughput, reliable distributed systems. • Expertise in Python, Go, or a similar language. • Strong experience with a major cloud provider (AWS, Google Cloud Platform, Azure). • Demonstrated ability to lead complex, cross-functional projects from concept to production.

This job posting was last updated on 11/24/2025

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