Top Tech Jobs & Startup Jobs in Delhi

Drive partner prospecting and generate Sales Qualified Opportunities across North America using AI-powered research and high-volume outbound outreach. Build and prioritize target account lists, engage decision-makers via multi-channel campaigns, qualify opportunities, and maintain CRM records. Deliver scalable partner pipelines and improve prospecting efficiency through automation and sales intelligence.

Owner of manual QA for web (customer site, admin panel, API) and mobile (iOS/Android). Design and run regression and functional tests, verify hotfixes and releases, triage live issues, use Postman/MySQL/LambdaTest/Firebase and analytics to monitor stability, and gradually introduce lightweight automation and AI tools to improve testing workflows.

Provide Level 1 and Level 2 IT support for macOS and Windows; manage device lifecycle via MDMs; provision and troubleshoot identity/SSO/MFA; administer Google Workspace, Microsoft 365, Slack, Zoom and Atlassian apps; operate ITSM workflows and ticketing; maintain security compliance, documentation, and automation to improve employee technology experience.

Build and maintain backend and frontend services using Node.js, JavaScript/TypeScript. Design APIs, work with SQL databases, containerize with Docker, deploy on GCP Cloud Run, participate in code reviews, troubleshoot issues, and collaborate with product, frontend, and QA teams to ensure scalable, reliable systems.

Translate design specs into pixel-perfect, responsive web interfaces using TypeScript, CSS3, and HTML. Follow design systems and accessibility (WCAG) standards, optimize frontend performance, resolve spec ambiguities, collaborate remotely via documentation and code reviews, and provide frontend expertise to support AI model evaluation.

Design high-fidelity, mobile-first UI/UX for consumer mobile apps and websites using Figma. Build and maintain scalable design systems, prototypes, micro-interactions, and reusable components. Collaborate with product and engineering, conduct research, iterate from feedback, and deliver pixel-perfect assets and documentation.

Lead design and delivery of scalable data solutions for retail, using Python, Snowflake, and SQL. Collaborate with business and IT stakeholders, review offshore code, mentor team members, translate requirements into architecture, monitor project progress, and ensure quality, performance, and timely delivery of data pipelines and warehouse solutions.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Lead end-to-end recruitment marketing campaigns: plan and execute paid and organic content, manage content pipelines and calendars, measure campaign performance across channels, generate optimization insights, and coordinate with recruiters and stakeholders to improve candidate attraction and conversion.

Own and maintain on-premises MLOps infrastructure to keep ML models reliable in production. Build deployment, monitoring, CI/CD, and tooling; troubleshoot Linux, Docker, and Kubernetes stacks; optimize model performance and throughput; collaborate with data scientists and engineers to productionize research artifacts and uphold high engineering standards.