Senior Staff Engineer - Autonomous Platform & Open Source

Blitzy

Cambridge (MA)

On-site

USD 180,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Competitive salary + meaningful equity
Medical, dental, and vision coverage
401(k)
Unlimited PTO
Direct work with enterprise customers

Job summary

Blitzy in Cambridge, MA is seeking a Senior Member of Technical Staff to lead the evaluation and development of their AI software platform. This role involves selecting open source projects to test platform limits, assessing engineering candidates and contributing directly to the product roadmap based on empirical feedback.

The ideal candidate will have strong skills in Python, microservices architecture, and cloud platforms, as well as a passion for pushing the boundaries of autonomous software development.

Qualifications

  • Experience with Python as the primary language.
  • Proficient in microservices and REST/gRPC architectures.
  • Hands-on experience with GCP, AWS, or Azure.
  • Deep understanding of Kubernetes for debugging production issues.
  • Familiarity with Terraform and infrastructure as code practices.
  • Proficiency in both SQL and NoSQL databases.
  • Experience with LLM validation loops and testing.
  • Experience in designing large-scale enterprise systems.

Responsibilities

  • Select and build production-grade open source projects.
  • Document and analyze platform capabilities and failures.
  • Assess engineering candidates thoroughly across the stack.
  • Drive product changes based on feedback from use cases.
  • Define work structure and execute independently.

Skills

Python
Node.js
JavaScript
Microservices architecture
GCP
AWS
Azure
Kubernetes
Terraform
SQL
NoSQL
Graph databases
LLM-powered systems

Job description

Blitzy in Cambridge, MA is seeking a Senior Member of Technical Staff to lead the evaluation and development of their AI software platform. This role involves selecting open source projects to test platform limits, assessing engineering candidates and contributing directly to the product roadmap based on empirical feedback.

The ideal candidate will have strong skills in Python, microservices architecture, and cloud platforms, as well as a passion for pushing the boundaries of autonomous software development.

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