Principal Software Engineer

Ovii's Interpretation of the Role

Blitzy seeks a Principal Software Engineer to own mission‑critical production systems and deliver high‑leverage, full‑stack features that boost reliability, performance, and customer value. The role is 100 % hands‑on, spanning backend, cloud, AI/LLM, and frontend layers in an enterprise AI platform.

Role Snapshot

• Principal individual contributor
• Full‑stack system ownership
• Production‑grade backend & AI services
• Cloud & Kubernetes expertise
• Database & data‑model mastery
• LLM validation pipeline stewardship
• Hands‑on code delivery

Must-Have Requirements

• Python
• GCP
• Kubernetes
• Terraform
• REST/gRPC
• SQL databases
• NoSQL databases
• LLM‑powered system experience
• Full‑stack competency (backend + frontend + AI)
• full‑stack production system ownership
• AI/LLM system development
• cloud infrastructure and Kubernetes

Nice-to-Have Signals

• OpenAI or Anthropic model familiarity
• LangSmith or equivalent tracing tool
• AWS or Azure (any two cloud platforms with GCP)
• Graph databases (Neo4j)
• Vector databases / embeddings
• Principal / Staff+ scope
• enterprise software scale

Work Setup

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

Not Specified in JD

• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Own end‑to‑end production‑grade backend systems for enterprise customers
• Design, build, and ship high‑impact full‑stack features across frontend, backend, and AI layers
• Operate and evolve LLM validation loops, including evaluation, feedback, and regression testing
• Ensure scalability, performance, reliability, and operational tooling in cloud environments
• Define engineering quality and durability standards across teams without direct reports
• Contribute to frontend architectural decisions and full‑stack debugging
• Make long‑term technical decisions and stand behind them in production

Good Fit If You Have

• Prior Principal or Staff‑level experience in a highly technical organization
• Self‑directed learner who requires minimal supervision
• Passion for building enterprise‑scale AI‑enabled systems
• Experience modernizing long‑lived production environments