Top Tech Jobs & Startup Jobs in India

Build and maintain full-stack features using React, Next.js, TypeScript, Java, and Spring Boot. Develop secure REST APIs, real-time analytics interfaces, dashboards, and data visualizations. Integrate Databricks and SQL-based platforms, optimize scalability, implement automated testing, and support Kubernetes-based cloud deployments. Collaborate with data engineers, product managers, designers, and stakeholders while contributing to architecture, observability, code reviews, and continuous engineering improvement.

Own production support and administration for Salesforce and connected go-to-market applications. Responsibilities include incident resolution, configuration, integrations, data quality, release management, documentation, stakeholder communication, contractor coordination, compliance support, and continuous improvement. The role requires Salesforce expertise, ITSM knowledge, integration troubleshooting, strong communication, and overlap with US Pacific hours, including occasional on-call work.

Generates and processes customer invoices, reviews contracts and supporting documentation, resolves billing inquiries and discrepancies, collaborates cross-functionally, maintains billing controls, and supports month-end close and accounts receivable activities.

Performs accounting for financial instruments and investment securities, including transaction processing, account reconciliations, variance investigation, reporting validation, and financial analysis. Maintains procedures, process maps, and controls; collaborates with stakeholders to support timely reporting; and recommends improvements to productivity, efficiency, and process controls.

Performs data profiling, validation, quality testing, anomaly detection, pipeline monitoring, and quality reporting across cloud and on-premises environments. Builds validation rules and data quality artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with data lakes, data warehouses, datamarts, and enterprise data platforms.

The Data Analyst develops production-grade data and analytics solutions by translating business needs into functional requirements, analyzing and validating data, and contributing to architecture, governance, modeling, quality, engineering, and data science initiatives. The role independently leads solution design and estimation, collaborates with business and technology stakeholders, mentors analysts, and applies SQL, big data, cloud, and data storage expertise to solve complex business problems.

Leads complex software engineering and AI automation initiatives. Designs, develops, tests, and deploys scalable intelligent workflows, AI agents, copilots, document-processing solutions, conversational interfaces, and RAG-based enterprise knowledge systems. Integrates AI services with enterprise applications and data sources using Microsoft Power Platform, Python, APIs, and cloud technologies. Establishes engineering standards, ensures governance and security compliance, mentors teams, and collaborates with technical and cross-functional stakeholders.

Leads complex software engineering initiatives as a hands-on full-stack developer. Designs, codes, tests, debugs, documents, and supports enterprise applications using modern languages, frameworks, cloud-native technologies, containers, and generative AI tools. Ensures application quality, security, compliance, scalability, and performance while resolving technical issues, evaluating requirements, improving processes, and collaborating with stakeholders in an Agile environment.

Reviews fraud alerts, transactions, claims, and referrals; gathers and verifies customer information; investigates account activity; processes fraud and claims cases; supports dispute resolution and account servicing; communicates with customers and internal teams; documents interactions; and manages high-volume workloads while meeting accuracy, quality, compliance, and service expectations.

Leads Navan’s India-based travel services organization, overseeing customer support operations, service strategy, organizational development, and operational transitions. Partners with Product, Engineering, Account Management, and global leadership to improve customer experience, scalability, efficiency, and service delivery. Responsibilities include developing operating models, managing metrics and data, driving process improvements, supporting implementations, and hiring, coaching, and developing senior managers, managers, and agents.

Leads a large travel services organization in India, overseeing service strategy, customer experience, operational improvements, technology partnerships, implementations, and transitions. The role develops scalable operating models, owns service metrics, drives data-informed process optimization, and builds high-performing leadership teams. It partners globally across functions to improve customer and employee experiences, align priorities, and execute organizational change in a high-growth environment.

Develops innovative, user-centered product experiences from concept through delivery. Collaborates with engineering and product management, incorporates user needs and research, creates high-fidelity designs and specifications, champions design decisions, and mentors other designers. The role emphasizes accessibility, usability, consistency, and thoughtful integration of AI into workflows and decision-making.

Leads the design, development, and delivery of complex AI-native and cloud-native systems across frontend, backend, and AI engineering. Builds LLM evaluation infrastructure, retrieval systems, guardrails, testing, and observability. Drives architecture, technical initiatives, quality standards, and platform improvements while mentoring engineers and collaborating with product managers. Makes trade-offs involving scalability, reliability, latency, cost, and model quality, and owns solutions through implementation, testing, and production delivery.

Lead complex, cross-functional Sales and Marketing IT programs from intake through deployment and optimization. Own governance, planning, scope, schedules, budgets, risks, stakeholder alignment, vendor management, and executive communications across CRM, CPQ, marketing automation, web marketing, sales performance, commissions, and partner enablement. Apply generative AI and LLMs to program management while ensuring security, compliance, and data privacy. Mentor delivery professionals and drive continuous improvement across global teams.

Designs, builds, and operates backend platforms, Kubernetes infrastructure, distributed services, and cloud-native systems at scale. The role owns platform initiatives from architecture through deployment, improves CI/CD and engineering quality, collaborates with product, AI, and security teams, and mentors engineers. Responsibilities also include integrating applied AI tooling, developing infrastructure-as-code, and driving reliability, performance, observability, and engineering productivity.

Supports the international accounting and reporting team with U.S. GAAP month-end and quarter-end close activities, journal entries, reconciliations, audit schedules, GST and WHT filings, technical accounting research, and SOX internal controls. The trainee gains exposure to global financial reporting, risk assessment, account analysis, regulatory compliance, and evolving accounting standards while collaborating with teams across regions.

Lead front-end development using React.js and CSS to build responsive, usable customer-facing pages. Provide application and infrastructure support, collaborate with globally distributed engineering teams, contribute to complex projects, develop new concepts and techniques, and help plan and deploy software releases. The role requires strong knowledge of web standards, cross-browser compatibility, browser performance, responsive design, and collaborative software development.

Manage a portfolio of complex, high-value customer accounts and drive end-to-end collections. Resolve overdue balances and disputes through customer communication, collaborate with Sales, Customer Success, Legal, and Deal Desk, and handle senior-level escalations. Maintain forecasts, aging reports, and cash application records; improve DSO and bad debt performance; use Oracle and Tesorio; and support accounts receivable close processes.

Manage end-to-end order-to-cash operations, including contract review, pricing validation, complex order processing, billing issue resolution, and data integrity. Collaborate with Sales, Finance, Legal, and Customer Success to resolve escalations and contract disputes. Optimize workflows, generate operational reports, maintain compliance, and mentor junior associates.

Designs, develops, and deploys production AI systems using LLMs, generative AI, agentic architectures, deep learning, retrieval, and multimodal models. Leads experiments and architecture decisions across computer vision, NLP, geospatial reasoning, and advanced AI applications. Builds scalable data and MLOps pipelines, mentors engineers, applies responsible AI practices, and supports innovation through patents and publications.

Execute risk-based IT audit engagements covering SOX ITGCs, application controls, cybersecurity, cloud, privacy, AI governance, and technology operations. Responsibilities include audit planning, risk assessments, control testing, reporting, remediation validation, SOC report reviews, third-party risk assessments, and stakeholder collaboration. The role also contributes to audit methodology improvements, automation, analytics, and governance across emerging technologies.