Top Tech Jobs in Gurgaon

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

The role involves architecting cybersecurity solutions, leading technical engagements, and serving as a technical evangelist at industry events, focusing on Application Security and Cloud Security.

Support clients' job searches by tailoring resumes, researching and extracting HR contacts, networking, emailing for referrals, and maintaining organized application records. Emphasis on consistency, learning, and night-shift US-hour availability.

Lead design and development of cloud-native data solutions on GCP. Collaborate with data science, marketing, and engineering teams to implement governance, scalable data pipelines, analytics integrations, and ensure security and performance standards.

Freelance CRO Analyst responsible for end-to-end A/B test setup, monitoring, and Bayesian analysis. Communicate insights to clients, forecast revenue lift, collaborate with designers/developers, ensure Shopify-aligned test setups, and participate in client and internal meetings.

Full-cycle Talent Acquisition Partner responsible for sourcing, screening, and hiring across departments; build talent pipelines, craft job descriptions, use ATS and recruiting metrics, support onboarding, and champion DEI.

The Senior Software Engineer will work on building and operating scalable backend services, APIs, and infrastructure while collaborating closely with customer engineering teams to resolve real-world challenges in enterprise data systems.

Lead development and execution of an enterprise B2B AI platform product (agentic systems). Define strategy and roadmaps, partner with Data Science and Engineering, prioritize customer and operational needs, use data and analytics to drive decisions, run rapid prototyping and experiments, remove delivery obstacles, mentor teams, and optimize scalable product journeys and workflows.