Staff Software Engineer

We are hiring a Staff Software Engineer to own and drive the highest-leverage technical work across Blitzy's backend platform, infrastructure, and AI product surface. Reporting directly to the CTO, you will operate with broad technical scope, working alongside our founding team to set direction on some of the hardest problems in our system. This is a hands-on technical role. You will be expected to stay close to the code, make credible architectural decisions, and hold the bar on engineering quality across the systems you touch. We are looking for an engineer who knows how to identify the highest-leverage problems, unblock the people around them, and drive outcomes that matter to customers. Responsibilities - Own the architecture and technical roadmap for one or more core areas of the platform, balancing speed, quality, security, and scalability - Write, review, and ship production code that drives meaningful customer and business outcomes, while shaping how the rest of the team writes and reviews code - Leverage Generative AI tools daily to improve the quality, speed, and effectiveness of both technical and non-technical work, and help others on the team do the same - Serve as a technical escalation point for complex production issues, driving postmortems and fixes that prevent them from recurring - Champion improvements across the enterprise software development lifecycle, advocating for better ways of building, deploying, and operating software company-wide - Build demos, prototypes, examples, and technical content that create technical champions and help customers and colleagues adopt new technologies - Collaborate closely with engineers, designers, sales executives, and other stakeholders to deliver exceptional outcomes in an in-person environment - Communicate openly, share the rationale behind important technical decisions, and actively seek feedback to keep the team aligned and moving forward - Mentor and unblock other engineers, modeling the technical judgment we want the whole team to have - Proactively surface and resolve systemic issues, such as technical debt, reliability gaps, or process bottlenecks, before they become blockers Qualifications - 8+ years of professional software engineering experience, including 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 and technologies such as Node.js, NuxtJS, Express.js, or Python - Experience with cloud platforms including AWS, Google Cloud, Azure, or Vercel - Strong knowledge of programming languages such as Python, JavaScript, TypeScript, Java, C++, or Go - Hands-on knowledge of RPC technologies and API architectures including REST, gRPC, or GraphQL - Experience with relational and NoSQL databases such as SQL, PostgreSQL, MongoDB, or Firebase - Familiarity with CI/CD tools including Jenkins, CircleCI, GitLab, or similar platforms - Experience with source code versioning tools such as Git or Perforce - Deep knowledge of microservices architecture and distributed application design at scale - Familiarity with AI platforms including 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 - Experience building platforms or tools used by other engineering teams, not just end customers, is a plus - Experience operating as a de facto technical lead, setting direction for other engineers without needing the title to do it, is a plus - Track record of turning ambiguous, underspecified problems into clear technical plans is a plus - Experience mentoring or informally coaching other engineers is a plus Salary Range: $220,000 - $260,000 + Bonus + Equity 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 US 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.