Top Tech Jobs in Gurgaon

Manually test Shopify eCommerce stores for design, functionality, and responsive behavior. Verify pages against Figma and project requirements, use DevTools to inspect and debug, document and report bugs, collaborate with developers/PMs/designers, and suggest fixes for recurring issues to ensure flawless launches.

Leads technical strategy and operations supporting industrial decarbonization in textile manufacturing. Coordinates climate technology research, utility and process engineering evaluations, methodology development, knowledge management, strategic communications, workshops, and cross-functional execution. The role translates complex technical information into frameworks, presentations, documentation, and actionable initiatives while improving technical decision-making and collaboration among internal teams, consultants, and external partners.

Coordinate technical, operational, and product projects from planning through delivery. Create project plans, track milestones, dependencies, risks, blockers, and action items; support Agile ceremonies and release readiness; facilitate meetings and provide status updates. Collaborate with Product, Engineering, Data Science, Design, QA, and Operations teams to ensure timely execution and progressively assume greater project ownership.

Develop and maintain scalable full-stack web applications using Python and modern frontend frameworks. Design RESTful APIs, manage SQL and NoSQL databases, collaborate on feature delivery, and ensure application performance, security, and scalability. Debug production issues, follow clean coding practices, and contribute to system design, microservices architecture, CI/CD, and DevOps practices.

Leads daily fulfillment center operations across inbound, put-away, outbound, B2C, B2B, and returns. Manages Area Managers, operations leads, and warehouse associates while maintaining inventory accuracy, operational KPIs, staffing, payroll, budgets, and safety. Oversees WMS processes, ICQA, audits, launches, process improvements, and cross-functional collaboration. Requires experience leading large warehouse teams, technical operations, automation, and high-volume distribution environments.

Leads 3–4 cross-functional engineering squads delivering scalable distributed systems. Oversees architecture, Java and cloud-based development, technical quality, DevOps, CI/CD, performance, security, and technical escalations. Partners with architects, product leaders, and stakeholders on roadmap delivery, capacity planning, and hiring. Coaches engineering staff, manages performance, drives career development, and promotes GenAI-enabled systems, agentic workflows, and AI-assisted software development practices.

Provide high-touch support to the Co-Founder by managing calendar and communications, tracking deliverables, preparing and reviewing documents, coordinating meetings, handling sensitive information, streamlining operations, and executing ad hoc initiatives (social media, team coordination) to ensure priorities and deadlines are met.

Own the architecture and technical direction of Egnyte’s distributed data migration platform, including customer agents, cloud control planes, and cloud-to-cloud services. Improve performance, reliability, data integrity, observability, and deployment safety across large-scale migrations. Lead incident response, technical design, cross-functional escalations, mentoring, and engineering quality improvements.

Build and support secure full-stack web applications, internal tools, APIs, data pipelines, and database schemas. Develop AI agents and LLM-powered solutions using Agentic AI, RAG, tool calling, guardrails, and Microsoft Foundry. Deploy machine learning models for predictive analytics, implement automated testing and CI/CD, resolve application and data issues, and modernize legacy systems. Collaborate with technical teams and business stakeholders to deliver scalable information and decision-support solutions.

Own the strategy, roadmap, architecture, and execution of AI capabilities across an enterprise GRC SaaS platform. Lead agentic workflows, AI safety, grounding, auditability, evaluation frameworks, model integrations, prototypes, and usage analysis. Partner with engineering, design, GRC experts, executives, go-to-market teams, and customers to deliver reliable automation with measurable outcomes. Serve as the company’s AI and GRC thought leader while translating emerging AI technologies into valuable product opportunities.