Lead Software Engineer

Job Title: Engineering Lead – SaaS, AI & Product-Led Innovation Location : Gurgaon (HQ) Function : Technology | Reports to: CTO Type : Full-Time | Level: Senior Lead / Future CTO-track Message from CTO (Hiring Manager): Hello! I'm Aresh Mishra, former Microsoft executive and current CTO at GrowthJockey. We are on a quest to build a top-tier tech team—True Alpha—to make a significant impact on billions of lives worldwide through our advanced technology ventures. If you're passionate about driving technological innovation and making a global difference, we'd love for you to join our team. About GrowthJockey GrowthJockey is India's first full-stack Venture Architect company , committed to designing, building, and scaling high-performance digital businesses from scratch. We are not a service provider—we are venture builders. We work with large enterprises and visionary founders to develop future-ready digital platforms and intelligent products. Our proprietary technology and innovation ecosystem includes: Intellsys – a robust suite of modular tech accelerators OttOAgent & OttO-Pilot – advanced AI-native CRM and growth platforms Full-stack SaaS development and deep-tech product infrastructure Category-defining ventures across automotive, finance, consumer brands, and more We are on a clear path to build a 1000 Cr company in the next 5 years , and are looking for top-tier engineering leaders who want to be part of that journey from the front lines. The Role As Engineering Lead , you will be responsible for leading the architecture, development, and scale-up of powerful SaaS platforms, AI-integrated products, and composable digital infrastructure. You'll own the product-engineering bridge and lead a team of talented developers across high-stakes, high-velocity venture environments. This is a leadership role with deep accountability, high autonomy, and a future CTO-track. Key Responsibilities Technology Leadership Architect, design, and lead development across multiple product lines and client ventures. Own the delivery of scalable, secure, and modular digital platforms. Maintain best-in-class engineering standards across code quality, performance, and technical design. Evaluate and implement new tech stacks, libraries, tools, and cloud solutions aligned with future-readiness. Product Engineering Execution Collaborate with product managers, UI/UX teams, and business stakeholders to translate user needs into feature-rich applications. Define SDLC processes, CI/CD pipelines, and scalable deployment architecture. Build reusable components and frameworks for faster venture deployments. AI & Data Integration Work with ML engineers and data architects to embed AI workflows into products. Integrate vector databases, LLM APIs, and decision intelligence layers where relevant. Design data-led product environments that support intelligent workflows, automation, and personalization. Team Leadership Mentor and grow a multidisciplinary engineering team. Set goals, review code, conduct performance reviews, and foster a culture of high ownership. Define engineering KPIs and ensure high delivery velocity through agile sprints. Technology Stack You'll Own and Scale Frontend : React.js, Remix, Next.js, TailwindCSS Backend : Node.js, Express.js, GraphQL, REST APIs AI/ML Integration : Python, FastAPI, LLM APIs, Vector DBs Cloud & DevOps : AWS/GCP, Serverless (Lambda), Docker, Kubernetes, Terraform, GitHub Actions Databases : PostgreSQL, MongoDB, Redis, Firebase, Supabase Monitoring & Testing : Sentry, LogRocket, Jest, Cypress, E2E automation Architecture : Microservices, BFF (Backend for Frontend), RBAC, Webhook-driven flows, Multi-tenant SaaS infra Ideal Profile 4–6 years of experience in full-stack development, with at least 2–3 years in a lead role. Strong foundation in scalable systems architecture and performance optimization. Deep expertise in the modern JavaScript ecosystem (React.js, Node.js) and cloud-native architectures. Experience with SaaS platforms, microservices, and multi-tenant systems. Prior exposure to AI/ML environments, intelligent automation, or data products is a strong advantage. Strong product mindset—ability to work closely with design, growth, and business teams. High-ownership individual with bias for action and passion for delivering impact. What You'll Get The opportunity to build foundational platforms for India's next 1000 Cr product-tech company. Fast-tracked exposure to venture creation , category design , and product leadership . Hands-on access to some of the most complex product engineering challenges in SaaS and AI. Mentorship from top leaders across tech, growth, product, and venture building. Competitive salary + performance-linked bonuses + ESOPs for high performers.