Senior Lead Software Engineer

Chargebee is the leading subscription billing and revenue management platform powering some of the fastest-growing brands around the world, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and many others. Thousands of SaaS and subscription-first businesses process billions of dollars in revenue every year through the Chargebee platform. Headquartered in San Francisco, we are a 500+ strong global team, working across India, Europe, Australia, and the US. We’re on a mission to redefine subscription revenue operations—not just for us, but for every recurring revenue business.

Role Summary We are seeking a

Senior Lead Software Engineer

to drive the design and scalability of

AI-powered automation systems (agentic AI)

that will transform billing and revenue operations for our global SaaS customers. This role is critical in shaping Chargebee’s next generation of intelligent, multi-tenant automation products.

You will report to the

Senior Director of Engineering

and partner closely with product, engineering managers, and cross-functional stakeholders. As a technical leader, you’ll bring architectural clarity, scale-conscious design, and thought leadership to ensure we build a

robust, secure, and extensible AI automation platform

that serves thousands of customers reliably.

Key Responsibilities Architect scalable agent platforms : Define the end‑to‑end architecture for our AI automation stack with multi-tenancy, resilience, and extensibility. Build AI agent capabilities : Lead architecture for MCP integration, tool orchestration, memory management, evaluation frameworks, RAG setup, async workflows, and streaming pipelines. Prototype & guide AI-first engineering : Deliver proof‑of‑concepts, mentor developers, and promote best practices in agent orchestration and GenAI frameworks. System governance & frameworks : Build reusable APIs, modular components, and guardrails to standardize and accelerate agent deployment. AI lifecycle & governance : Own deployment pipelines, observability, model retraining schedules, drift detection, and production resilience. Ethical & secure AI design : Partner with security and risk teams to ensure safe, explainable, and bias-aware agent behavior. Cross-functional leadership : Collaborate with Product, Engineering, and Security to balance customer needs, compliance, and technical trade-offs.

Qualifications Experience : 10+ years in software engineering with at least 5 years in technical leadership or architect roles within SaaS / enterprise platforms. Domain Knowledge : Strong understanding of distributed systems, multi-tenant SaaS architecture, and cloud-native platforms (AWS). AI & Technical Depth : Strong expertise in Python and JavaScript for GenAI frameworks, specifically LLM orchestration, RAG workflows, agent frameworks, evaluation pipelines, async processing, and streaming. Solid foundation in object-oriented design, relational databases, and vector store technologies. Java knowledge is a helpful bonus. Scalability Mindset : Proven track record of architecting and scaling enterprise SaaS systems. Leadership Skills : Demonstrated success in influencing architectural direction, mentoring engineers, and fostering innovation.

What Makes You a Great Fit You’re passionate about

AI-powered automation

and curious about how agentic approaches can transform enterprise workflows. You can balance

pragmatism with vision —delivering incremental value today while laying the foundation for future scale. You thrive in

fast-paced, collaborative environments

and can rally teams around complex technical missions.