Top Tech Jobs in Gurgaon

Lead backlog end-to-end for a DTC health mobile product: prioritize features, write acceptance criteria, run sprint planning, collaborate with stakeholders and engineering, use data to guide decisions, ensure compliance, and champion AI-driven workflows.

Provide technical accounting advice and financial reporting support to clients, research complex accounting issues, assist with implementation of new standards, prepare financial statements, support client relationship management, contribute to proposals and business development, and manage multiple engagements and deadlines under manager supervision.

Lead verification of complex CPU/SoC IP: plan verification, build constrained-random UVM/SystemVerilog or C/C++ test environments, use SVA/formal tools, debug RTL (Verilog) in simulation/emulation, develop tests and coverage, and close verification gaps to meet tape-out requirements.

Lead and execute the AI roadmap: architect, train, and optimize LLMs, GANs, CV and NLP models; build scalable MLOps pipelines; deploy models to cloud; and hire, mentor, and coordinate an AI engineering team with product and business stakeholders.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Configure and maintain Kinaxis RapidResponse for end-to-end supply chain planning: design, build, test, and deploy workbooks, alerts, scripts, dashboards and integrations; support users, troubleshoot analytics, and assist with releases and data integrations.

Design, build, and maintain ETL pipelines, data warehouses, and dashboards. Develop and optimize complex SQL, ensure data quality and integrity, work with Oracle databases and NetSuite, collaborate with stakeholders, document pipelines, and support performance tuning and issue resolution.

Lead QA for enterprise LLM, RAG, and AI agent applications: design benchmarks, build automated evaluation and observability pipelines, validate retrieval and agent workflows, implement Python/Pytest automation, create Playwright UI tests, integrate quality gates into CI/CD, perform performance validation and root cause analysis to ensure production readiness.

Lead requirements elicitation and translate complex business needs into functional specifications for CRM solutions. Partner with stakeholders and technical teams to design Dynamics 365 Customer Service and Field Service solutions, support Agile ceremonies, facilitate UAT, perform impact analysis, and drive process improvements within manufacturing and service operations.

Define and drive QA architecture and automation-first quality strategy for distributed, data-driven enterprise SaaS platforms. Architect backend and API test frameworks, integrate tests into CI/CD, lead non-functional testing (performance, scalability, resiliency), mentor QA/SDET teams, and partner with engineering/product to ensure release readiness and observability-driven production quality.