Senior Member of Technical Staff

Blitzy

$180K — $225K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software engineering, preferably in open source or autonomous development
  • Expertise in Python, with Node.js and JavaScript as supplementary skills
  • Strong knowledge of microservices architecture and production-grade distributed systems
  • Hands-on experience with GCP; familiarity with AWS or Azure
  • Proficient in Kubernetes, particularly in debugging production failures
  • Understanding of infrastructure as code, specifically with Terraform
  • Experience with SQL and NoSQL databases, focusing on the right tool for the job
  • Familiarity with LLM-powered systems and their operational challenges

Responsibilities

  • Select and develop open source projects that rigorously test Blitzy's capabilities
  • Document performance, limitations, and areas for improvement of the platform
  • Ensure Blitzy meets high standards of correctness and reliability
  • Deliver non-trivial open source work that illustrates autonomous development's potential
  • Assess engineering candidates' depth in distributed systems and full-stack capabilities
  • Provide structured feedback on hiring decisions that is clear and actionable
  • Set and refine the technical hiring standards as platform demands evolve

Benefits

  • Medical, dental, and vision coverage
  • 401(k) plan
  • Unlimited PTO
  • Opportunity for direct interaction with enterprise customers and experienced founders
  • Dynamic, high-growth work environment that fosters career advancement
Full Job Description
The Role

We are hiring a Senior Member of Technical Staff that has two responsibilities that sharpen each other: take Blitzy into territory it hasn't been tested in real, production-grade open source work at the limits of what autonomous development can do and evaluate the engineers we hire to push it further.

Everything you encounter building with Blitzy what holds up, what breaks, what's missing goes directly into the product roadmap. This is the most direct feedback loop we have.

What You'll Own

Pushing the platform frontier
  • Select and build production-grade open source projects using Blitzy's autonomous development platform. The work has to be real enough to expose genuine capability limits, prototypes don't count
  • Document with precision where the platform holds and where it doesn't, specific failure modes, missing capabilities, incorrect assumptions and translate that into product decisions the engineering team can act on
  • Hold Blitzy to the standard you would apply to any production system: correctness, reliability, operational durability
  • Ship open source work that demonstrates what autonomous development can actually produce at the frontier


Technical evaluation
  • Assess Principal, Staff, and engineering candidates with the depth that level requires the difference between someone who can reason about a distributed system under failure and someone who has memorized the right things to say about one
  • Evaluate candidates across the full stack: backend systems, distributed infrastructure, data architecture, LLM/AI systems, and system design under real constraints
  • Produce structured, specific hiring feedback, the kind that makes the decision obvious, not the kind that defers it
  • Own the technical bar for engineering hires and evolve it as the platform grows in scope and complexity


What Success Looks Like
  • You ship non-trivial open source software with Blitzy and can give a precise account of what autonomous development made possible and where it required you to work around it
  • The platform feedback you produce drives product changes - not eventually, but because what you surface is specific enough to act on immediately
  • Your hiring assessments are sought out because they're consistently accurate and the reasoning behind them is traceable
  • You define your own work, structure it, and execute without requiring direction the output speaks for itself
What We're Looking For
  • Python as primary language; Node.js and JavaScript as supporting
  • Microservices architecture; REST and gRPC in production
  • GCP required; deep hands-on experience in at least one of AWS or Azure
  • Kubernetes at the level where you've debugged production failures, not just deployed workloads
  • Terraform; infrastructure as code as a discipline, not a convenience
  • SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB), chosen for the problem, not defaulted to
  • Graph databases (Neo4j) for complex relational modeling; vector databases for semantic retrieval
  • LLM-powered systems in production: the full lifecycle, including what happens when models behave unexpectedly at scale
  • LLM validation loops - evaluation pipelines, regression testing, failure analysis, built and operated, not just designed
  • LangSmith or equivalent at the depth where you've used it to find real bugs, not just generate traces
  • Full-stack: sufficient depth to make architectural decisions and debug across the stack end-to-end
  • Experience designing, integrating, and operating large-scale enterprise systems, including the long-term maintenance tradeoffs that only become visible after the initial build
Benefits & Perks
  • Competitive salary + meaningful equity
  • Medical, dental, and vision coverage
  • 401(k)
  • Unlimited PTO
  • Opportunity to work directly with enterprise customers and experienced founders
  • Fast-paced, high-growth environment with strong career growth opportunities


Salary Range: $180,000 - $225,000 base salary + bonus + equity

Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all US locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process.

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