Overview about Ripik.AI:

Ripik.ai is a fast-growing industrial AI SaaS start-up founded by IIT D / BITS alumni with extensive experience at McKinsey, IBM, Google, and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders.

Ripik.ai builds patented full-stack software for automation of decision making on the factory floor. Today, we are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others.

It is one of Indias very few AI product start-ups to be a partner to GCP, Azure, and AWS. We are also the AI partner of choice for CII, ICC, and NASSCOM.

The Role:

We are looking for an Engineering Manager with a strong backend pedigree to lead a cross-functional team of backend and frontend engineers. You will own the full product engineering lifecycle from greenfield architecture and ground-up development through to production operations at scale for Ripiks industrial AI SaaS platform.

Key Responsibilities:

1. Backend Architecture & Hands-on Development:

- Own the design and development of Ripiks backend platform built on Java 21+ and Spring Boot 4.x.

- Architect for scale, reliability, and low latency: design services that handle high-throughput streams from industrial IoT sensors and vision cameras.

- Make key technology and design decisions Spring Security, OAuth 2.0, Spring Data, and Hibernate / JPA.

- Drive API design standards (OpenAPI / Swagger) and enforce contract-first development.

- Champion production engineering: build observability into every service with structured logging, distributed tracing, and metrics.

2. Full-Stack Product Delivery:

- Lead end-to-end product builds from the ground up translate product requirements into technical architecture and ship complete features.

- Collaborate closely with frontend engineers building operator dashboards (React / Next.js, TypeScript).

- Own the CI/CD pipeline (GitHub Actions / GitLab CI, Docker, Kubernetes on AWS / Azure / GCP).

- Coordinate with the AI / Data Science teams to integrate ML model outputs into the platform.

- Manage cloud infrastructure decisions across multi-cloud deployments (AWS, Azure, GCP) and on-premises installations.

3. Team Leadership & Scrum Management:

- Lead, mentor, and grow a cross-functional team of backend and frontend engineers.

- Run Scrum ceremonies end to end sprint planning, daily stand-ups, backlog grooming, and retrospectives.

- Conduct thorough code reviews and architecture reviews; enforce engineering best practices.

- Hire and onboard strong engineers; raise the technical bar continuously.

- Act as the primary engineering interface with Product, Design, AI, Field Engineering, and Customer Success.

Required Skills & Experience:

- B.Tech / M.Tech in Computer Science, Software Engineering, or a related discipline.

- 810 years of total software engineering experience with a strong backend focus, of which at least 2 years in a Tech Lead or Engineering Manager role.

- Deep hands-on expertise in Java (17+) and the Spring ecosystem (Spring Boot, Security, Data, Cloud, WebFlux).

- Strong experience building microservices, RESTful APIs, event-driven systems (Kafka / RabbitMQ), and database layers (PostgreSQL, MongoDB, Redis).

- Hands-on experience running Scrum / Agile processes and strong DevOps/deployment experience (Docker, Kubernetes, CI/CD).

- Excellent communication skills and experience in high-growth start-up environments.

What Can You Expect?:

- Ownership of the core product platform at a high-growth, venture-backed AI start-up.

- Ability to shape the future of manufacturing by leveraging best-in-class AI and software.

- World-class work culture, coaching, and international exposure.

Work Location:

NOIDA, Sector-16, (Work from Office)