HiringCafe
Posted 1w ago

Senior Lead Engineer - Fullstack

@ Staples
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Chennai, Tamil Nadu, India
OnsiteFull Time
Responsibilities:lead team, own architecture, design engines
Requirements Summary:10+ years software engineering; 4+ years in B2B pricing/CPQ; 3+ years in distributed event-driven systems; 2+ years people leadership; cloud experience (Azure preferred); CI/CD and AI-native SDLC experience.
Technical Tools Mentioned:Java, Spring Boot, Azure, REST APIs, Microservices, SQL, PostgreSQL, MySQL, NoSQL, Couchbase, MongoDB, Redis, CI/CD, GitHub Copilot, AI-driven testing
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Job Description
We’re seeking a Senior Lead Engineer to lead the Contract Pricing & Quoting engineering team, with deep expertise in building B2B CPQ systems, contract pricing engines, and enterprise integration architectures. In this role, you will own the technical direction and delivery of platforms that power customer-specific pricing, quoting workflows, and contract lifecycle management across Staples’ B2B channels.

You’ll partner closely with Sales Technology, Revenue Management, Product, and cross-functional engineering teams to deliver solutions that are highly performant, accurate, and scalable. This is a player-coach role requiring a blend of strategic technical leadership and hands-on execution — someone who can drive long-term platform decisions while also diving into complex pricing logic and integration challenges to deliver immediate business value.

Duties & Responsibilities
  • Lead a team of 3–5 engineers, providing technical mentorship, code reviews, and career development guidance.
  • Own the architecture and technical roadmap for contract pricing, quoting, and CPQ platforms serving B2B customers.
  • Design and build scalable pricing engines that compute customer-specific contract prices, volume tiers, and negotiated rates in real-time.
  • Develop and optimize quoting workflows, approval chains, and contract lifecycle management capabilities.
  • Architect event-driven integrations between CPQ systems and downstream consumers including ERP, Order Management, and CRM (Salesforce).
  • Lead the modernization of legacy contract pricing systems into cloud-native, API-first architectures on Azure.
  • Implement robust pricing rule engines supporting complex B2B scenarios: matrix pricing, cost-plus, margin floors, customer tiers, and promotional overlays.
  • Partner with Revenue Management and Sales Operations to translate pricing strategies into scalable technical solutions.
  • Champion engineering excellence through CI/CD practices, automated testing, observability, and performance optimization.
  • Drive adoption of best practices for API design, data modeling, and system reliability across the team.
  • Actively participate in architecture reviews, system design discussions, and capacity planning for the pricing platform ecosystem.
  • Coordinate with US-based engineering leadership on priorities, sprint planning, and cross-team dependencies.
  • Establish and drive an AI-native SDLC culture across the team — ensure engineers leverage AI-assisted development tools (GitHub Copilot, AI code assistants, AI-driven testing) as standard practice to act as a force multiplier in every stage of the software lifecycle.

Requirements

Years of Experience
  • 10+ years of software engineering experience with emphasis on Java, Spring Boot, and enterprise backend systems.
  • 4+ years of experience in B2B pricing, CPQ, contract management, or revenue management domains.
  • 3+ years designing distributed, event-driven systems in cloud environments.
  • 2+ years of people management or technical team leadership experience.

Basic Qualifications
  • Hands-on experience working in cloud environments (Azure preferred; AWS or GCP acceptable).
  • Proficiency with microservices, REST APIs, message queues, and streaming technologies.
  • Experience building pricing engines, rules engines, or CPQ platforms in a B2B enterprise context.
  • Strong knowledge of relational databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Couchbase, MongoDB, Redis).
  • Proven experience building scalable, distributed applications in an enterprise environment.
  • Strong background in CI/CD pipelines, automated testing, DevOps practices, and observability.
  • Demonstrated ability to lead Agile teams and deliver high-quality software on time.
  • AI-native SDLC mindset — proven ability to leverage and champion AI-assisted development tools (GitHub Copilot, AI code assistants, AI-driven testing) as a force multiplier across the engineering team.

Preferred Qualifications
  • Experience with Salesforce CPQ, Oracle CPQ, or similar enterprise CPQ platforms.
  • Familiarity with pricing optimization, dynamic pricing, or margin management systems.
  • Experience integrating with ERP systems (SAP, Oracle) and CRM platforms (Salesforce).
  • Knowledge of Angular or React frontend frameworks for pricing admin/configuration UIs.
  • Experience with Stibo STEP or similar MDM/PIM platforms for product data.
  • Exposure to AI/ML-driven pricing recommendation systems.