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 enterprise grade 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.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
About the Role
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.
Responsibilities
Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.
Qualifications
12+ years of direct experience with Python as a primary language, including backend frameworks and microservices architecture at scale
Expertise in API architectures including REST and gRPC; working proficiency in Node.js and JavaScript
Advanced proficiency with cloud infrastructure: GCP required, with experience in at least one additional platform (AWS or Azure)
Advanced, production-grade experience with Kubernetes and Terraform
Proven experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling
Strong knowledge of relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB
Familiarity with graph databases (e.g., Neo4j) and vector databases/embedding infrastructure for semantic search and retrieval
Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis
Working knowledge of LangSmith or comparable LLM observability/evaluation tooling; familiarity with model providers such as OpenAI or Anthropic is a plus
Full-stack capability, including strong frontend architecture fundamentals and the ability to design, debug, and ship across frontend, backend, infrastructure, and AI systems
Deep understanding of large-scale enterprise software systems: architecture, integration, deployment, modernization, and long-term maintainability
Proven track record operating at Staff+/Principal scope, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. 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 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