Description :

Job Title : Engineering Manager

About the Client :

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.

Builds patented full-stack software for automation of decision making on the factory floor.

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 SaaS platform.

The platform powers real-time decision automation on factory floors across steel, cement, pharma, and paints, ingesting high-volume sensor and vision data through robust backend services and surfacing actionable insights via responsive operator dashboards. This role demands someone who can write production-grade Java, run tight Scrum ceremonies, and make sound architectural calls under startup-speed timelines.

Key Responsibilities :

Backend Architecture & Hands-on Development :

- Own the design and development of backend platform built on Java 21+ and Spring Boot 4.x - including RESTful and gRPC APIs, microservices decomposition, event-driven pipelines, and integration layers that connect AI inference engines with factory-floor systems.

- Architect for scale, reliability, and low latency : Design services that handle high-throughput streams from industrial IoT sensors and vision cameras, process them through message brokers (Kafka / RabbitMQ), and persist results across PostgreSQL, MongoDB, Redis, and time-series stores (TimescaleDB / InfluxDB).

- Make key technology and design decisions : Spring Security and OAuth 2.0 / JWT for multi-tenant authentication, Spring Data for repository abstractions, Spring Cloud for service discovery and configuration, and Hibernate / JPA for ORM - while keeping the codebase clean, testable, and well documented.

- Drive API design standards (OpenAPI / Swagger), enforce contract-first development, and ensure backend services expose well-versioned, idempotent, and backward-compatible interfaces consumed by the frontend and external integrations.

- Champion production engineering : Build observability into every service with structured logging (ELK / Loki), distributed tracing (OpenTelemetry / Jaeger), metrics (Prometheus / Grafana), and alerting - own SLAs and incident response for the backend stack.

Full-Stack Product Delivery :

- Lead end-to-end product builds from the ground up - translate product requirements into technical architecture, break them into epics and stories, and ship complete features spanning backend APIs, database schemas, and frontend UIs.

- Collaborate closely with frontend engineers building operator dashboards and configuration portals (React / Next.js, TypeScript) - review UI/UX implementation, ensure performant API integration, and maintain a cohesive full-stack development workflow.

- Own the CI/CD pipeline (GitHub Actions / GitLab CI, Docker, Kubernetes on AWS / Azure / GCP), automate testing (unit, integration, E2E), and enforce quality gates so that every merge to main is production-ready.

- Coordinate with the AI / Data Science teams to integrate ML model outputs (computer vision inferences, LLM responses) into the platform - designing the serving layer, result-caching strategy, and feedback loops that connect model predictions with user-facing features.

- Manage cloud infrastructure decisions across multi-cloud deployments (AWS, Azure, GCP) and on-premises installations at customer factory sites - balancing cost, compliance, and latency requirements.

Team Leadership & Scrum Management :

- Lead, mentor, and grow a cross-functional team of backend and frontend engineers - set clear expectations, conduct regular 1 : 1s, drive career development, and foster a culture of ownership and technical excellence.

- Run Scrum ceremonies end to end - sprint planning, daily stand-ups, backlog grooming, sprint reviews, and retrospectives - ensuring the team delivers predictably while staying agile enough to respond to shifting priorities in a fast-moving start-up.

- Conduct thorough code reviews and architecture reviews; enforce engineering best practices around testing (JUnit, Mockito, Testcontainers), code quality (SonarQube), and secure coding standards.

- Hire and onboard strong engineers; raise the technical bar continuously through pairing, tech talks, design-document culture, and a bias toward building reusable, well-abstracted components.

- Act as the primary engineering interface with Product, Design, AI, Field Engineering, and Customer Success - translating business needs into well-scoped engineering work and communicating tradeoffs, timelines, and risks transparently to leadership.

Required Skills & Experience :

- B.Tech / M.Tech in Computer Science, Software Engineering, or a related discipline from Tier 1 Colleges

- 6 - 10 years of total software engineering experience with a strong backend focus, of which at least 2 years in a Tech Lead, Engineering Lead, or Engineering Manager role.

- Deep hands-on expertise in Java (17+) and the Spring ecosystem, Spring Boot (3.x / 4.x), Spring Security, Spring Data, Spring Cloud, Spring WebFlux (reactive). Ability to write production-grade code, not just review it.

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

- Proven track record of building applications from the ground up - greenfield product development in a SaaS or product-company context, taking features from whiteboard to production.

- Experience leading and managing teams of both backend and frontend engineers : Comfortable reviewing React / TypeScript code, guiding frontend architecture decisions, and maintaining full-stack delivery velocity.

- Hands-on experience running Scrum / Agile processes : Sprint planning, backlog management, velocity tracking, and retrospectives - with a practical, outcome-driven approach (not ceremony for ceremonys sake).

- Strong DevOps and deployment experience : Docker, Kubernetes, CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins), and at least one major cloud platform (AWS preferred; Azure / GCP also valued).

- Solid understanding of system design fundamentals : Caching strategies, load balancing, rate limiting, database indexing, horizontal scaling, and high-availability patterns.

- Experience in a high-growth start-up or similarly fast-paced environment where shipping speed, scrappiness, and wearing multiple hats are the norm.

- Excellent communication skills : Able to articulate technical trade-offs to product and business stakeholders, write clear RFCs and design documents, and present to leadership.

Good to Have :

- Experience with industrial IoT, manufacturing systems, or integration with factory-floor protocols (OPC-UA, MQTT, Modbus) and SCADA / PLC systems.

- Familiarity with Python for scripting, data pipelines, or lightweight services : Useful for collaborating with the AI / Data Science team.

- Exposure to AI / ML serving infrastructure - model APIs, feature stores, inference caching and an understanding of how backend systems integrate with computer vision or LLM pipelines.

- Experience with multi-tenant SaaS architecture, tenant isolation, role-based access control, and enterprise security compliance (SOC 2, ISO 27001).

- Knowledge of Java 21+ virtual threads (Project Loom) and reactive programming (Spring WebFlux, Project Reactor) for high-concurrency workloads.

- Familiarity with Infrastructure-as-Code (Terraform, Pulumi) and GitOps workflows for managing multi-cloud and on-premises deployments.

- Experience with performance engineering - JVM tuning, garbage collection profiling, load testing (JMeter, k6, Gatling), and database query optimisation at scale.

What Can You Expect :

- Ownership of the core product platform at a high-growth, venture-backed AI start-up - directly shape architecture, team culture, and engineering processes from the ground up.

- Ability to shape the future of manufacturing by leveraging best-in-class AI and software; develop a rare skill set at the intersection of enterprise SaaS and industrial automation.

- World-class work culture, coaching, and development.

- Mentoring from highly experienced leadership from world-class companies

Location : Noida, Sector-16 (Work from Office)