Leadership & Behavioral Skills

• Strong ability to mentor and influence engineering teams
• Proven experience driving technical roadmaps and cross-team alignment
• Excellent communication and stakeholder management skills, ability to directly work with the business users.
• Ability to adapt and operate effectively in a continuously changing, fast-paced, ambiguous environment
• Bring a strong mindset of Forward Deployment Engineer to implement & deliver at speed and scale

WHAT YOU’LL WORK ON

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 technical roadmap 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 highly scalable backend systems and microservices using Java, Spring Boot, and cloud-native patterns
• Develop robust Data Driven, RESTful APIs and event-driven services for enterprise-scale platforms
• Build resilient distributed systems leveraging messaging platforms like Kafka or similar

Data Engineering & Integration (Preferred Strength Area)

• Design and implement data pipelines and integrations across systems and platforms
• Work with modern data platforms (e.g., Spark, Databricks, Delta Lake or equivalent) where required
• Contribute to data quality, consistency, and availability 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 CI/CD pipelines, observability, and DevOps best practices

Engineering Excellence

• Establish and enforce high standards in coding, testing, and system reliability
• 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 AI-assisted development tools (e.g., Copilot, code assistants) to improve coding efficiency, testing, and documentation
• Identify opportunities to apply AI/GenAI capabilities to enhance system workflows, automation, and user experiences
• Contribute to establishing best practices for responsible AI usage, ensuring security, data privacy, and reliability
• Balance AI usage with strong engineering fundamentals, system design, and code quality standards