Staff Backend Engineer

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 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 cloud infrastructure (GCP required; AWS or Azure a plus) - Demonstrated track record of leading technical initiatives and driving architectural decisions across multiple systems or teams, without formal people-management authority - Advanced proficiency in Python, with deep experience building and scaling microservices and distributed systems - Hands-on experience with Python backend frameworks (e.g., Django, FastAPI, Flask); familiarity with Node.js-based frameworks (Express.js, NuxtJS) is a plus - Strong programming fundamentals across Python and at least one additional language (JavaScript/TypeScript, Java, C++, or Go) - Advanced, production-grade experience with Kubernetes and Terraform - Proficiency with API architectures including REST, gRPC, and GraphQL - Experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Firebase - Familiarity with CI/CD tools such as Jenkins, CircleCI, or GitLab - Experience with version control systems such as Git - Deep knowledge of microservices architecture and distributed application design at scale - Familiarity with AI platforms such as OpenAI, Anthropic, Hugging Face, Vertex AI, Amazon Bedrock, or SageMaker - Demonstrated ability to build and scale enterprise-grade applications with 99%+ service-level availability - 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 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