Jobs at Staples India

Lead enterprise IAM transformation initiatives across customer identity, workforce identity governance, access management, SSO, and MFA. Architect scalable identity solutions, oversee provisioning and deprovisioning, enforce least privilege, align practices with compliance requirements, assess risks, support incident response, and drive automation and continuous improvement. Collaborate with application, infrastructure, and security stakeholders while managing multiple strategic projects.

Lead the transformation from DevOps to DevSecOps across a large-scale eCommerce platform. Build and manage CI/CD pipelines, containerized applications, infrastructure automation, and cloud environments across Azure and Google Cloud. Ensure system reliability through monitoring, logging, alerting, and production troubleshooting. Collaborate with cross-functional teams, improve engineering practices, provide technical leadership, and mentor junior engineers.

Develop and maintain business intelligence solutions for Asset Protection, Inventory Control, and Claims teams. Build Tableau dashboards, Snowflake datasets, Alteryx workflows, and data pipelines using SQL and related tools. Analyze shipment, inventory, claims, carrier, and loss data to identify trends, root causes, and operational risks. Troubleshoot data quality issues, validate reporting, document processes, support claims recovery, and collaborate with analytics and engineering teams on scalable reporting solutions.

Owns and improves CI/CD pipelines across the Staples Promotional Products application portfolio. Responsibilities include Azure DevOps pipeline standardization, Octopus Deploy and TFS support, GitHub modernization readiness, Azure cloud enablement, deployment automation, DevSecOps integration, troubleshooting, reusable engineering patterns, documentation, and collaboration with development and infrastructure teams across time zones.

Owns enterprise database and data-platform operations across production and non-production environments. Responsibilities include health monitoring, backup and recovery, database refreshes, patching, upgrades, performance tuning, release support, incident response, troubleshooting, documentation, and automation. The role supports SQL Server, SSAS, Azure SQL Database, MongoDB, and Cosmos DB while collaborating with application, infrastructure, security, networking, cloud, storage, authentication, and vendor teams. Scheduled after-hours maintenance and priority incident support are required.

Lead the enterprise data governance strategy, including metadata management, business glossaries, lineage, semantic layers, data products, quality standards, and trust frameworks. Partner with engineering, analytics, AI/ML, architecture, business, and product teams to make data discoverable, governed, and AI-ready. Establish stewardship, ownership, governance councils, certification processes, impact analysis, and controls for AI-generated insights and autonomous agents.

Develop and maintain scalable full-stack .NET applications, integrations, and eCommerce solutions across the software development lifecycle. Design, code, test, troubleshoot, document, deploy, and optimize software components using C#, SQL, JavaScript, MVC, and web technologies. Lead architectural planning, resolve production issues, collaborate with cross-functional and distributed teams, and mentor junior engineers. Apply Azure, AKS, APIs, service-oriented architectures, and cloud technologies while ensuring performance, reliability, compliance, and maintainability.

Supports technical solution development by applying business and technology knowledge under guidance. Helps define customer and partner requirements, identify risks, resolve issues, and promote adoption of cloud and AI technologies. Contributes to assigned projects, develops intellectual property knowledge, and collaborates with customers, researchers, faculty, peers, and internal stakeholders.

Develop, test, and maintain software components with a performance-first approach. Design and execute performance tests, diagnose distributed-system bottlenecks, analyze server and browser performance, and recommend tuning improvements. Collaborate with developers, SREs, QA, and infrastructure teams throughout the SDLC. Contribute to code reviews, troubleshooting, automation, feature design, software quality, and security best practices.

Leads Salesforce platform engineering across global teams, owning roadmap, architecture, delivery, AI-enabled transformation, integrations, DevSecOps, governance, and operational scale. Builds and manages distributed engineering organizations, drives Salesforce modernization across Sales and Service functions, partners with enterprise stakeholders and data teams, and manages SI/ISV relationships. The role requires deep Salesforce expertise, large-scale platform transformation experience, and leadership of offshore and US-aligned teams.

Lead QA strategy and automation for complex ecommerce systems, including frontend, backend services, APIs, payments, inventory, fulfillment, performance, security, compliance, and data validation. Build JavaScript/TypeScript frameworks, integrate testing into CI/CD, design SQL-based validation, and conduct performance and security testing. Mentor QA engineers, establish standards, lead test planning, and drive quality improvements across development teams.

Owns the design, implementation, and continuous improvement of automated testing frameworks for web, API, service, performance, and AI-powered features. Integrates automated tests into CI/CD pipelines, defines test strategies and coverage, performs exploratory and regression testing, analyzes failures, drives defect resolution, and reports quality metrics. Collaborates with engineering and product teams on testability and acceptance criteria, evaluates testing tools, and mentors junior quality engineers.

Develop responsive front-end applications and integrate them with ASP.NET MVC, Razor, C#, SQL, REST APIs, and Azure services. Convert Figma and Photoshop designs into accessible, high-performance interfaces, troubleshoot UI and backend issues, participate in testing and code reviews, and contribute across the full software development lifecycle. The role also supports e-commerce applications, system integrations, documentation, performance improvements, and production issue resolution.

Leads the design, development, deployment, and operation of enterprise-scale AI, machine learning, NLP, GenAI, and agentic AI solutions. Builds scalable Python pipelines on Databricks and Azure, develops distributed ML applications, and implements MLOps, LLMOps, CI/CD, and responsible AI practices. Collaborates with technical and business teams to deliver actionable intelligence, establishes AI strategies and roadmaps, mentors junior engineers, and supports team scaling.

Lead the design, development, testing, deployment, and support of scalable full-stack applications using Java, Spring Boot, Node.js, React, and Next.js. Provide architecture and technical leadership, guide engineering standards, develop CI/CD pipelines, manage releases, improve observability and reliability, remediate security issues, and collaborate with architecture, QA, DevOps, security, product, and SRE teams. Apply Agile, SAFe, and Lean-Agile practices while supporting cloud and on-premises environments.

Lead the architecture and development of scalable cloud-hosted eCommerce applications using Java, Spring Boot, React, and TypeScript. Design distributed, event-driven microservices, REST APIs, and messaging integrations while ensuring resilience, performance, observability, and maintainability. Collaborate with product and business teams, participate in architecture and capacity planning, champion CI/CD and testing practices, and mentor junior engineers.

The Senior Analyst uses SQL, Excel, and Power BI to analyze data, build dashboards, validate information, track KPIs, and deliver insights supporting revenue growth, profitability, customer experience, and operational efficiency. The role partners with cross-functional stakeholders, leads data-driven projects, communicates recommendations, and improves analytical processes. Preferred experience includes statistical modeling, A/B testing, AI or machine learning, advanced analytics, and eCommerce.

Build and scale production machine learning systems for ecommerce search, retrieval, ranking, recommendations, personalization, and GenAI experiences. Responsibilities include developing ML models, optimizing multi-stage ranking pipelines, running offline and A/B experiments, applying reinforcement learning and bandits, deploying Databricks pipelines through AKS, designing scalable ML infrastructure, and monitoring models using MLOps and LLMOps practices.

Owns end-to-end delivery of digital product capabilities, including discovery, backlog management, prioritization, requirements, acceptance criteria, roadmap documentation, dependency coordination, and launch readiness. Partners with engineering, design, data, QA, operations, and business teams to deliver scalable mobile, desktop, and app experiences. Supports junior product managers and UX designers while maintaining governance, status reporting, and outcome tracking.

Leads Scrum and SAFe ceremonies for 1–3 distributed Agile teams, removes impediments, coaches teams and Product Owners, and drives continuous improvement. Tracks delivery metrics including velocity, predictability, cycle time, and flow efficiency using Jira, JQL, and EazyBI dashboards. Facilitates PI Planning and cross-team collaboration, mentors junior Scrum Masters, supports Agile maturity, and aligns team objectives with organizational goals.