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Blitzy is an AI software development platform headquartered in Cambridge, MA, on a mission to revolutionize the software development lifecycle by autonomously building custom software. The company is backed by tier-1 investors and has proven founder pedigree, operating as one of the fastest-growing companies in the U.S. and serving Fortune 500 customers.
You will join as a Staff Backend Engineer, reporting directly to the CTO. This is a hands-on technical role with broad scope across Blitzy's backend platform, infrastructure, and AI product surface. You will work alongside the founding team on some of the hardest problems in the system, owning architecture and technical roadmap for one or more core platform areas.
Key responsibilities include:
- Own the architecture and technical roadmap for core platform areas, balancing speed, quality, security, and scalability
- Write, review, and ship production code that drives customer and business outcomes while shaping team coding standards
- Leverage generative AI tools daily to improve technical and non-technical work quality and speed
- Serve as technical escalation point for complex production issues, driving postmortems and preventative fixes
- Champion improvements across the enterprise software development lifecycle
- Build demos, prototypes, examples, and technical content to create technical champions
- Collaborate closely with engineers, designers, sales executives, and stakeholders in an in-person environment
- Mentor and unblock other engineers, modeling strong technical judgment
- Proactively surface and resolve systemic issues like technical debt, reliability gaps, and process bottlenecks
The company culture emphasizes moving fast, operating with a championship mindset, passion for invention, and deep customer focus. You will be expected to stay close to the code, make credible architectural decisions, hold the bar on engineering quality, identify high-leverage problems, and unblock teammates.
REQUIREMENTS:
- 8+ years of professional software engineering experience
- Direct experience with Python, Terraform, and AWS
- Demonstrated track record of leading technical initiatives and driving architectural decisions across multiple systems or teams without formal people-management authority
- Proficiency in backend frameworks: Node.js, NuxtJS, Express.js, or Python
- Experience with cloud platforms: AWS, Google Cloud, Azure, or Vercel
- Strong knowledge of programming languages: Python, JavaScript, TypeScript, Java, C++, or Go
- Hands-on knowledge of RPC technologies and API architectures: REST, gRPC, or GraphQL
- Experience with relational and NoSQL databases: SQL, PostgreSQL, MongoDB, or Firebase
- Familiarity with CI/CD tools: Jenkins, CircleCI, GitLab, or similar
- Experience with source code versioning: Git or Perforce
- Deep knowledge of microservices architecture and distributed application design at scale
- Familiarity with AI platforms: OpenAI, Anthropic, Hugging Face, Vertex AI, Amazon Bedrock, or SageMaker
- Demonstrated ability to build and scale enterprise-grade applications with 99%+ service-level availability
- Advanced proficiency in Python, Terraform, and GCP
Plus factors:
- Experience building platforms or tools used by other engineering teams
- Experience operating as a de facto technical lead, setting direction without the title
- Track record of turning ambiguous problems into clear technical plans
- Experience mentoring or informally coaching other engineers
