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.