Lead Full-Stack Engineer

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Zapata Quantum

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🔬 Science

🏢 Enterprise

🤖 Artificial Intelligence

Science • Enterprise • Artificial Intelligence

Zapata Quantum is a quantum software and applications company that provides a platform (Quantum Application Intelligence) to identify high-value quantum use cases, assess hardware readiness, and accelerate quantum algorithm and application development. The company focuses on chemistry and pharma (drug discovery), optimization, simulation (materials, CFD, defense simulations), and machine learning use cases, and publishes research on quantum algorithms and resource estimation. Zapata partners with industry and research leaders (e. g. , NVIDIA, DARPA, Dana-Farber) and serves Fortune 500 enterprises and government agencies to move quantum workflows from use-case identification through logical circuit design to hardware execution.

📋 Description

• Provide hands-on technical leadership for a small engineering team, setting technical direction and supporting the team’s execution and delivery. • Design, architect, build, and continuously improve a modern, interactive web application, including selecting appropriate frameworks, system architecture, and technical approaches. • Lead architectural and product-related technical decisions, exercising independent judgment when evaluating tools, technologies, tradeoffs, and design patterns. • Establish engineering standards and best practices for software design, code quality, testing, documentation, security, and maintainability. • Mentor and support other engineers through technical guidance, code reviews, collaborative problem-solving, and constructive feedback. • Break complex initiatives into clear technical plans, coordinate engineering priorities, and help ensure projects are delivered on time and to a high standard. • Independently analyze complex technical problems and develop scalable, reliable, and maintainable software solutions. • Design and implement backend systems, data models, APIs, and integrations that support complex application functionality. • Design and develop clean, intuitive user experiences for navigating and interacting with complex technical content. • Integrate AI-enabled features such as intelligent search, recommendations, contextual assistance, and other emerging application capabilities. • Collaborate with product, design, domain experts, and company leadership to translate business and user needs into practical technical solutions. • Remain actively involved in software development while balancing individual contributions with leadership of the broader engineering effort. • Evaluate and adopt emerging technologies, including AI-assisted development tools, when they can meaningfully improve productivity, quality, or application performance.

🎯 Requirements

• At least 2 years of experience serving in a technical lead, engineering lead, or comparable software leadership role. • Demonstrated experience providing technical direction, mentoring engineers, conducting code reviews, and supporting the delivery of complex software projects. • Strong full-stack engineering fundamentals, with particular depth in backend architecture, data modeling, APIs, and scalable system design. • Demonstrated experience designing, building, and maintaining production-quality, user-facing web applications. • Experience making architectural decisions and evaluating technical tradeoffs across frontend, backend, infrastructure, and application integrations. • Familiarity with AI-enabled application workflows, tools, or integrations. • Strong understanding of UI/UX principles and product usability, with the ability to translate complex information into intuitive user experiences. • Ability to work autonomously, manage competing priorities, and deliver results with minimal oversight. • Strong communication and collaboration skills, including the ability to explain technical decisions to both technical and nontechnical stakeholders. • An efficiency-focused mindset and willingness to adopt new tools, including AI-assisted development tools, to improve engineering productivity. • Ability and enthusiasm to learn unfamiliar technical domains as needed; prior quantum computing experience is not required.

🏖️ Benefits

• Competitive salary • Health insurance • Professional development opportunities