Ovii Job Board

Senior Member of Technical Staff

Blitzy

Cambridge, United States • Onsite - Cambridge, United States • Full-Time

Posted 2026-06-04 USD 180,000 - USD 225,000 per year Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Senior software engineer driving production‑grade open‑source work on an autonomous AI development platform while defining the technical hiring bar for senior engineers. The role blends deep full‑stack system expertise with rigorous evaluation of candidates and platform reliability.

Role Snapshot

  • Senior software engineer
  • Open‑source production specialist
  • Technical hiring evaluator
  • AI/LLM systems expert
  • Cloud & Kubernetes specialist
  • Infrastructure‑as‑code practitioner

Must-Have Requirements

  • Python
  • Node.js
  • JavaScript
  • GCP
  • AWS or Azure
  • Kubernetes
  • Terraform
  • SQL (PostgreSQL, MySQL)
  • NoSQL (MongoDB, Cassandra, DynamoDB)
  • Neo4j
  • Vector database
  • LLM‑powered systems
  • LLM validation pipelines
  • Full‑stack architectural depth
  • Production‑grade open‑source development
  • Full‑stack system design and debugging
  • Distributed systems and cloud infrastructure
  • LLM lifecycle and validation
  • Infrastructure as code and container orchestration

Nice-to-Have Signals

  • LangSmith or equivalent

Work Setup

  • Location: Cambridge, USA
  • Work mode: ONSITE
  • Employment type: Full-Time

Not Specified in JD

  • Visa sponsorship
  • Relocation
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Build and ship production‑grade open‑source projects using Blitzy’s autonomous development platform.
  • Document platform limitations and failure modes, turning findings into actionable product decisions.
  • Assess senior engineering candidates across the full stack and set the technical hiring bar.
  • Ensure platform reliability, correctness, and operational durability in production environments.
  • Design, integrate, and operate large‑scale enterprise systems on cloud infrastructure (GCP, AWS/Azure) with Kubernetes and Terraform.
  • Work with LLM‑powered components, validation pipelines, and vector/graph databases to deliver AI‑driven functionality.

Good Fit If You Have

  • Thrives in fast‑paced, high‑growth environments and can work autonomously without micromanagement.
  • Communicates technical findings clearly to engineering and product teams to drive immediate improvements.
  • Enjoys collaborating in‑person with cross‑functional teams and values high standards (“championship mindset”).

Skills

  • Python
  • Node.js/JavaScript
  • GCP (plus AWS or Azure)
  • Kubernetes
  • Terraform
  • SQL & NoSQL databases
  • Graph & vector databases
  • LLM production systems
  • Full‑stack architecture