Lead – Platform Engineering - Kochi

Lead \- Platform Engineering

Experience: 8\+ Years

Job Type: Permanent

Budget: 25 \- 30 LPA

Location: Kochi

Notice Period: Immediate \- 30days

Role Overview

We are looking for a Lead \- Platform Engineering to drive the architecture, development, and scaling

of our next\-generation AI\-powered platforms. This role sits at the intersection of full\-stack

engineering, AI/ML systems, and scalable platform design, and will be instrumental in building

robust, production\-grade systems powering autonomous and industrial AI applications.

You will lead a team of engineers, define technical direction, and ensure high\-quality delivery of

scalable, secure, and high\-performance platforms.

Key Responsibilities

Platform Architecture \& Development

1\. Design and build end\-to\-end platform architecture (frontend, backend, APIs, and data layers)

2\. Develop scalable and modular microservices\-based systems

3\. Drive cloud\-native platform development (AWS/Azure/GCP)

4\. Ensure high availability, performance, and security of the platform

Full Stack Engineering

1\. Lead development across frontend (React/Angular/Vue) and backend

(Node.js/Python/Java/Go)

2\. Define best practices for clean code, modular design, and API\-first development

3\. Oversee UI/UX integration for data\-intensive and AI\-driven applications

AI/ML Platform Integration

1\. Work closely with AI teams to integrate ML models into production systems

2\. Build and manage ML pipelines, inference systems, and model deployment frameworks

3\. Enable real\-time data processing and decision\-making systems

4\. Drive adoption of MLOps practices (model versioning, monitoring, retraining pipelines)

Leadership \& Delivery

1\. Lead, mentor, and scale a team of platform and full\-stack engineers

2\. Own technical roadmap, sprint planning, and delivery timelines

3\. Collaborate with cross\-functional teams (AI, Robotics, Product, DevOps)

4\. Ensure adherence to engineering standards, documentation, and governance

DevOps \& Scalability

1\. Implement CI/CD pipelines, automated testing, and deployment strategies

2\. Drive containerization (Docker) and orchestration (Kubernetes)

3\. Establish observability (logging, monitoring, alerting)

JD \- Lead \- Platform Engineering \- 2026

Required Skills \& Qualifications

Core Engineering

1\. Strong expertise in full\-stack development

2\. Frontend: React / Angular / Vue

3\. Backend: Node.js / Python / Java / Go

4\. Experience in designing distributed systems and scalable architectures

5\. Strong understanding of REST APIs, GraphQL, and event\-driven systems

AI/ML Exposure

1\. Hands\-on experience integrating AI/ML models into production

2\. Familiarity with frameworks like TensorFlow / PyTorch

3\. Understanding of MLOps, model deployment, and inference systems

Cloud \& DevOps

1\. Experience with AWS / Azure / GCP

2\. Strong knowledge of Docker, Kubernetes, CI/CD pipelines

3\. Experience with databases (SQL/NoSQL) and data pipelines

Leadership

1\. Proven experience leading engineering teams (5\-15 members)

2\. Strong ownership mindset with ability to drive end\-to\-end delivery

3\. Excellent stakeholder communication and problem\-solving skills

Good to Have

1\. Experience in real\-time systems / edge computing / IoT platforms

2\. Exposure to autonomous systems, robotics, or industrial AI

3\. Knowledge of stream processing (Kafka, Spark, Flink)

4\. Experience building multi\-tenant SaaS platforms

What You’ll Own

1\. Platform architecture for AI\-driven products at scale

2\. Engineering excellence and best practices across teams

3\. Delivery of production\-grade, enterprise\-ready platforms

4\. Building a future\-ready, scalable AI platform ecosystem

Why Join Us

1\. Work on cutting\-edge Physical AI and autonomous systems

2\. Opportunity to build platforms powering real\-world industrial transformation

3\. High ownership, fast\-paced deep\-tech environment

4\. Be part of building globally scalable AI products from India