Lead Platform Engineer: 992

Netcore; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Unbxd (Netcore Cloud), part of the Netcore family, seeks a Lead Engineer to own platform architecture and distributed systems. You will lead a team, set technical direction, and write production code.

The role involves building high-throughput Java/Go microservices, data pipelines, and AI-powered components serving billions of interactions daily.

Qualifications

• 5–7 years of backend engineering and distributed systems design.
• Proficient in Java, Go and Python.
• Experience building large-scale, high-throughput distributed systems.
• Knowledge of microservices and cloud-native platforms.
• Strong leadership and mentoring abilities.
• Exposure to AI/ML platforms preferred.

Responsibilities

• Own the platform architecture and roadmap for distributed systems, data pipelines, and ML infrastructure.
• Lead, mentor, and grow the engineering team; enforce code quality and on-call practices.
• Hands-on design and development of high-throughput distributed services in Java, Go, and Python.
• Drive AI/ML model adoption within product architecture with data/ML teams.
• Define engineering standards, patterns, and best practices across the platform.
• Translate business needs into scalable technical solutions with cross-functional teams.
• Analyze performance and improve reliability across the platform.

Skills

Java

Go

Python

Distributed systems

Microservices

Cloud-native

Leadership

Job description

Lead Engineer – Platform & Distributed Systems

Unbxd (Netcore Cloud) · Platform & Distributed Systems Team

Experience: 5 – 7 Years

About the Role

Unbxd, part of the Netcore family, is a leading AI-powered eCommerce product discovery platform that enables retailers to deliver intelligent search, personalized recommendations, and seamless shopping experiences. Our platform processes billions of shopper interactions daily, helping global retailers enhance product discovery, increase conversions, and drive revenue growth. We are looking for a Lead Engineer to own the architecture and evolution of our Platform — the distributed systems and AI/ML infrastructure that power every product surface.

This is a hands-on technical leadership role. You will lead a team of engineers, set the technical direction across distributed systems and AI/ML platforms, and write production code for the most critical components yourself. The platform you own runs at scale: high-throughput Java/Go microservices, large-scale data pipelines, and AI-powered systems serving billions of interactions daily.

Curious what it's like to work here? Check out Life at Netcore - Life at Netcore:

Also Please have a look at our Founder's take on where we're headed : https://www.founderthesis.com/p/rajesh-jain-and-netcore-cloud-the

What You'll Own

• Architecture and roadmap for the Platform — distributed systems, data pipelines, AI/ML infrastructure, and scalability layers powering production SaaS products.
• Lead, mentor, and grow the engineering team. Run design reviews, raise the engineering bar on code quality, observability, and on-call practices, and partner with product and business on roadmap.
• Hands-on design and development of high-throughput, fault-tolerant distributed services in Java, Go, and Python.
• Drive adoption of AI/ML models and intelligent systems within the product architecture — collaborating with data and ML teams to deploy and scale AI-powered capabilities.
• Define engineering standards, architectural patterns, and best practices across the platform.
• Translate business requirements into scalable technical solutions with cross-functional teams.
• Conduct system performance analysis and drive reliability improvements across the platform.

Must-Have Qualifications

• 5–7 years of experience in backend engineering and distributed systems design.
• Strong programming expertise in Java / Go / Python.
• Proven experience building large-scale, high-throughput distributed systems.
• Deep understanding of scalability, reliability, and fault-tolerant architectures.
• Experience with microservices architecture and cloud-native platforms.
• Strong understanding of system design, performance optimization, and scalability patterns.
• Experience working with high-volume data processing systems.
• Exposure to AI/ML platforms or machine learning model integration (preferred).
• Experience deploying ML-powered services into production environments.Knowledge of information retrieval systems is a plus.
• Strong technical leadership and mentorship abilities.
• Excellent problem-solving and system design thinking.

Why This Role

• Real scale, real problems — billions of shopper interactions daily, global retailer customers.
• Full-spectrum engineering work — distributed systems, AI/ML, and platform engineering all in one role.
• High ownership and visibility — you set the technical direction and partner directly with product and senior leadership.
• Be part of a fast-growing product company within the Netcore ecosystem, collaborating with high-caliber engineers and AI specialists.