Principal Software Engineer

BlitzyCambridge, MA
$300,000 - $500,000Hybrid

About The Position

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. We are hiring a Principal Engineer to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today. This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code. This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Requirements

  • Strong, hands-on experience across the full technology stack
  • Deep expertise in Python (primary language)
  • Experience with backend frameworks and microservices architectures
  • Experience with RPC-based services (REST, gRPC)
  • Experience with Node.js and JavaScript (supporting languages)
  • Expertise across at least two of AWS, GCP, and Azure, with GCP mandatory
  • Expert-level Kubernetes experience for container orchestration in production environments
  • Experience with Terraform for infrastructure as code
  • Experience with production systems: monitoring, reliability, scalability, and operational tooling
  • Strong expertise across both SQL and NoSQL databases
  • Experience with SQL: PostgreSQL, MySQL, or similar relational databases
  • Experience with NoSQL: MongoDB, Cassandra, DynamoDB, or similar
  • Experience with Graph databases (Neo4j) for modeling and searching complex relationships
  • Experience with Vector databases / embeddings infrastructure for semantic search and retrieval
  • Experience building and operating LLM-powered systems in production
  • Experience designing and implementing LLM validation loops (evaluation, feedback, regression testing, and failure analysis)
  • Experience with LangSmith (or equivalent tooling) for tracing, evaluation, and debugging
  • Strong understanding of frontend frameworks and architecture
  • Ability to evaluate and contribute to frontend technical decisions
  • Demonstrated technical expertise across the full stack — you can debug, design, and ship across frontend, backend, infrastructure, and AI layers
  • Core understanding of how large-scale enterprise systems are designed, integrated, deployed, and operated
  • Experience working within — or modernizing — complex, long-lived production environments

Nice To Haves

  • Prior experience operating at Principal Engineer / Staff+ scope at a highly technical company
  • Deep understanding of how enterprise software systems are built and evolved at scale, including tradeoffs around reliability, change management, and long-term maintainability
  • Clear ownership of complex systems that you designed, built, and supported in production
  • Hands-on ownership of LLM validation loops used to ensure correctness and durability in real environments
  • Experience designing systems that combine graph, vector, and traditional data models to support reasoning over complex domains
  • Proven ability to deliver outsized impact through the right features, not just more code
  • Track record of being a self-learner who requires minimal supervision and gets things done without compromising on quality
  • Familiarity with specific LLM models or vendors (e.g., OpenAI, Anthropic)

Responsibilities

  • Independently own mission-critical production systems end-to-end
  • Ship high-leverage features that materially improve reliability, performance, and customer value
  • Raise the technical bar through working code and outcomes, not reviews alone
  • Identify and resolve the hardest technical bottlenecks limiting quality or velocity
  • Make technical decisions with long-term impact and stand behind them in production
  • Be a self-directed learner requiring minimal supervision
  • Get things done right without making technical compromises
  • Demonstrate strong technical expertise across the full stack: frontend, backend, infrastructure, and AI systems
  • Materially increase the effectiveness of the engineering organization through example and judgment
  • End-to-end ownership of production-grade backend systems used by enterprise customers
  • Ensure correctness, scalability, performance, and operational reliability in real environments
  • Delivery and stewardship of high-impact features, not just incremental improvements
  • Build and improve Blitzy using Blitzy, holding the platform to real-world standards
  • Design, operate, and evolve LLM validation loops to ensure correctness, consistency, and durability in production
  • Set engineering quality and durability expectations across teams without direct reports

Benefits

  • Competitive salary and equity
  • Paid medical, dental, and vision insurance for you and your dependents
  • 4% 401(k) match
  • Flexible vacation days, sick days, and work-from-home days
  • Technology (hardware, software, reading materials, etc.) equipment and/or allowance
  • Unlimited snacks, fizzy water, coffee, espresso
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