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
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