Engineering Manager | Onsite - Noida

Uplers; Dadri; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

Uplers is seeking an Engineering Manager with a strong backend pedigree to lead a cross-functional team building an industrial AI SaaS platform. You will own the product engineering lifecycle from architecture to production operations across factory floors, ingesting high-volume sensor data and surfacing real-time insights via operator dashboards.

The role requires 8–10 years of software engineering experience with a technical lead/manager track, expertise in Java 17+ and Spring, microservices,

Qualifications

• B.Tech / M.Tech in Computer Science, Software Engineering, or a related discipline.
• 8–10 years of software engineering experience with backend focus; 2+ years in Tech Lead/Engineering Manager roles.
• Hands-on with Java (17+) and Spring ecosystem incl. Boot, Security, Data, Cloud, WebFlux.
• Experience in designing microservices, REST/gRPC APIs, event-driven systems, and DB layers.
• Experience leading backend+frontend teams and driving full-stack delivery velocity.
• Experience with Scrum/Agile processes and DevOps (Docker/Kubernetes, CI/CD)
• Familiarity with industrial IoT, manufacturing systems, OPC-UA/MQTT/Modbus.

Responsibilities

• Own backend design and development for Java 21+ and Spring Boot 4.x.
• Scale and low-latency architecture for high-throughput IoT/sensor data pipelines.
• Drive API design standards and service contracts for frontend/integrations.
• Build observability, logging, tracing, metrics, and incident response.
• Lead end-to-end product delivery with frontend teams (React/TypeScript).
• Oversee CI/CD pipelines and multi-cloud deployments (AWS/Azure/GCP).
• Coordinate with AI/DS teams for model outputs integration.
• Mentor engineers and manage Scrum ceremonies.

Skills

AI/ML infra

OPC-UA

Modbus

SCADA/PLC

MQTT

AWS

Azure

GCP

CI/CD

GitHub Actions

GitLab CI

Jenkins

Kafka

RabbitMQ

Java 17+

Spring Boot

Spring Cloud

Spring WebFlux

REST APIs

MongoDB

Education

CS/CE degree

Tools

PostgreSQL

MongoDB

Redis

TimescaleDB

InfluxDB

Hibernate/JPA

Job description

Experience

8.00+ years

Salary

INR 6000000.00 / year (based on experience)

Expected Notice Period

7 Days

Shift

(GMT+05:30) Asia/Kolkata (IST)

Opportunity Type

Office ()

Placement Type

Full Time Permanent position(Payroll and Compliance to be managed by: An applied AI company building AI solutions for industrial and manufacturing enterprises.)

What do you need for this opportunity?

Must have skills required:

• AI / ML serving infrastructure, factory-floor protocols (OPC-UA, Modbus) and SCADA / PLC systems., MQTT, and at least one major cloud platform (AWS preferred; Azure / GCP also valued)., CI/CD pipelines (GitHub Actions / GitLab CI / Jenkins), event-driven systems (Kafka / RabbitMQ), Java (17+) and the Spring ecosystem — Spring Boot (3.x / 4.x), Restful APIs, Spring Cloud, Spring WebFlux (reactive), MongoDB

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 our industrial AI 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.

Backend Architecture & Hands-on Development

• Own the design and development of the 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 our multi-cloud dfripikeployments (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 trade-offs, timelines, and risks transparently to leadership.

Required Skills & Experience

• B.Tech / M.Tech in Computer Science, Software Engineering, or a related discipline.
• 8–10 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 ceremony’s 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
• International exposure.

Work Location

NOIDA, Sector-16, (Work from Office)