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Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Own a portfolio of 10–15 enterprise accounts, driving adoption, expansion, customer satisfaction, and revenue growth for Blitzy’s AI software development platform. Build relationships with engineering and executive stakeholders, lead complex expansion sales cycles, develop ROI and executive business cases, partner with solution consultants, and consistently exceed account, pipeline, and revenue targets.

Lead hands-on frontend development for an AI-powered software platform. Architect scalable interfaces with complex state management and real-time updates, optimize responsive cross-browser performance, maintain component libraries and design systems, and uphold testing and code-quality standards. Collaborate with product, design, and backend teams, lead code reviews, mentor two frontend engineers, and evaluate tools that improve development workflows.

Deploy Blitzy in complex enterprise environments, embed with customer engineering teams, and build production-grade Java and Spring Boot services, integrations, REST APIs, and microservices. Lead architecture discussions, implementations, demonstrations, debugging, production operations, and technical deployments. Develop reusable tools and patterns, support observability and testing, and communicate customer needs to product and engineering teams to influence platform improvements and enterprise adoption.

Own the full enterprise sales cycle for new Fortune 500 customers, from discovery through close. Generate pipeline, navigate complex multi-stakeholder deals, engage CIOs and CTOs, run MEDDICC or BANT qualification, develop ROI narratives, and partner with AI Solutions Consultants on technical validation. The role focuses on selling AI software development platforms to engineering and technology organizations while exceeding revenue targets.

Own the full enterprise sales cycle from discovery through close, generating new business across Fortune 500 accounts. Build relationships with CIOs, CTOs, engineering leaders, and other technical stakeholders; manage complex, multi-threaded deals; develop ROI narratives; and partner with AI Solutions Consultants on technical validation. Consistently exceed pipeline and revenue targets while selling enterprise AI, developer tools, DevOps, infrastructure, or software platforms.

Own the full enterprise sales cycle, from discovery through close, generating net-new business among Fortune 500 companies. Build executive and technical relationships, lead complex multi-stakeholder negotiations, apply sales qualification frameworks, develop ROI cases, and partner with AI Solutions Consultants for technical validation. Consistently exceed pipeline and revenue targets while collaborating with leadership, solutions, and customer success teams.