Ex YC Founder - BE Engineer (SF)

About the role

Pragmatike is partnering with a YC-backed AI technology start-up building ambitious products at the intersection of software, intelligence, and developer tooling. We're looking for a Senior Full Stack Engineer with a strong backend focus who thrives in fast-paced environments and enjoys taking ownership of complex technical systems from architecture through production.

Responsibilities

• Design, build, and maintain scalable backend systems and APIs powering core product functionality.
• Develop and ship full-stack features from backend services through to customer-facing interfaces.
• Build reliable infrastructure that supports high-performance, real-time applications.
• Collaborate closely with engineering, product, and leadership teams to define and deliver new capabilities.
• Design systems that scale efficiently as product usage and complexity grow.
• Improve platform reliability, observability, monitoring, and operational tooling.
• Contribute to architectural decisions and long-term technical strategy.
• Optimize performance, security, and developer experience across the platform.
• Help establish engineering best practices and contribute to a strong culture of technical excellence.

Requirements

• 5+ years of professional software engineering experience.
• Strong backend engineering experience building and operating production systems.
• Advanced proficiency with TypeScript and modern backend development practices.
• Experience building scalable APIs, distributed systems, and cloud-native applications.
• Strong understanding of databases, data modeling, and system architecture.
• Experience working with real-time systems, event-driven architectures, or asynchronous processing.
• Ability to operate independently and thrive in ambiguous environments.
• Strong problem-solving skills and systems-thinking mindset.
• Excellent communication skills and collaborative approach to engineering.

Nice to Have

• Experience with edge computing, serverless architectures, or distributed platforms.
• Exposure to AI-powered products, LLM infrastructure, or agent-based systems.
• Experience designing highly available systems that support significant scale.
• Familiarity with observability, monitoring, tracing, and incident management practices.
• Experience in startup or high-growth environments.
• Full-stack experience building customer-facing product features.
• Experience helping establish engineering standards in early-stage teams.