Lead Software Engineer - Forward Deployed Engineering, ITC

• enabling reliable, scalable, and extensible systems that support enterprise-wide capabilities across domains.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

•

• Domain expertise in implementing solutions for retail apparel industry specific demand planning, forecasting, and pricing capabilities

• Strong expertise in

development and systems architecture

• Proven experience designing and operating large-scale distributed systems including

• Hands-on experience with event-driven architecture and messaging systems (

• Exposure to

(Spark, Databricks, or similar)

• Strong fundamentals in

• Understanding of

• Exposure to

such as React or Angular

• Experience working on

• Familiarity with

• Solid experience with Cloud infrastructure and deployment patterns

and cloud-native design principles

• Strong understanding of

• Strong ability to

• Proven experience driving

• Excellent communication and stakeholder management skills, ability to directly work with the business users.

• Ability to adapt and operate effectively in a

• Bring a strong mindset of

As a Lead Software Engineer, you will drive strategy, architecture, and execution for Demand planning and pricing capabilities.

Technical Leadership & Strategy

• Own and drive the

for your domain in partnership with Product and Architecture

• Translate complex business requirements into scalable technical solutions

• Lead architectural design decisions and technical reviews across systems

Backend System Design & Development

• Design and build

using Java, Spring Boot, and cloud-native patterns

• Develop

for enterprise-scale platforms

• Build resilient distributed systems leveraging messaging platforms like Kafka or similar

Data Engineering & Integration (Preferred Strength Area)

• Design and implement

across systems and platforms

• Work with modern data platforms (e.g., Spark, Databricks, Delta Lake or equivalent) where required

• Contribute to

across services

• Strategize and design Ontology based explainable systems that can drive decisions and insights at high accuracy

Cloud & Platform Engineering

• Lead development and deployment of services on cloud platforms (AWS preferred), ensuring scalability and efficiency

• Drive adoption of

Engineering Excellence

• Establish and enforce high standards in

• Continuously improve system performance and scalability

• Promote modern engineering practices and platform-first thinking

Collaboration & Mentorship

• Mentor engineers across levels and foster a strong engineering culture

• Partner with Business, Product and Engineering leaders to align priorities and execution

AI & Engineering Productivity

• Leverage

(e.g., Copilot, code assistants) to improve coding efficiency, testing, and documentation

• Identify opportunities to apply

to enhance system workflows, automation, and user experiences

• Contribute to establishing

, ensuring security, data privacy, and reliability

• Balance AI usage with strong