Top Tech Jobs in Gurgaon

Manage end-to-end finance operations, including invoicing, accounts receivable and payable, bank and ledger reconciliations, GST and TDS compliance, international payments, month-end close support, audit assistance, cash-flow reporting, and financial record maintenance. The role requires Tally Prime, Excel, accounting expertise, accurate communication, deadline management, and independent execution.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.

Lead the architecture, development, deployment, and maintenance of scalable full-stack applications and distributed systems. Provide technical leadership and mentorship across backend, frontend, cloud, and DevOps disciplines. Build Python or Java services, React and TypeScript interfaces, APIs, asynchronous pipelines, microservices, and cloud-native infrastructure. Drive system design, performance, security, observability, code quality, and end-to-end delivery. AI-driven application development is an advantage.

Processes and maintains investment market, master, and corporate-action data in SAP FAM to support accurate investment accounting. The role documents procedures, responds to finance and investment operations inquiries, supports projects, and improves data-control processes and systems. Candidates should understand investment products, accounting treatments, control environments, investment operations systems, and market-data platforms.

Manage high-volume, end-to-end recruitment for support roles, including sourcing, screening, HR assessments, interview coordination, stakeholder collaboration, candidate experience, ATS maintenance, and recruiting metrics. The contract role requires fast execution, strong pipeline development, bulk hiring experience, and consistent delivery against hiring targets and timelines.

Reviews account openings, conducts CDD, ECDD, and periodic KYC/KYB reviews, and ensures compliance with AML/KYC requirements for BitGo’s Singapore-regulated entity. The role supports APAC onboarding from Bangalore, manages customer communications, coordinates with internal teams, escalates compliance issues, and identifies process improvements to reduce risk. It also involves participating in AML/CFT training and completing assigned operational tasks.

Implements, operates, and improves AWS and Azure cloud platforms. Responsibilities include infrastructure management, incident response, root cause analysis, Infrastructure-as-Code development, operational automation, monitoring, backup and recovery, reliability improvements, technical debt remediation, and collaboration with architecture, security, and networking teams. The role also maintains documentation and runbooks while supporting EU and US time zones from a hybrid Hyderabad location.

Leads global end-to-end billing operations, overseeing invoice accuracy, timeliness, compliance, revenue assurance, reporting, and issue resolution. Manages billing analysts, coordinates with finance and operational stakeholders, supports audits and close activities, and drives process standardization, automation, and ERP improvements. The role monitors billing KPIs, reduces revenue leakage and backlogs, and ensures effective customer and sponsor engagement.

Leads end-to-end QA testing, including test planning, scenario and test case design, defect triage, root-cause analysis, severity assignment, build sign-off, SQL-based data validation, and EDW data tie-out testing. Collaborates with distributed Agile teams and uses AI tools to improve QA productivity. May support automation with Playwright or Selenium and perform API testing.

Develop, validate, debug, and optimize machine learning models, training pipelines, inference systems, and numerical implementations using Python. Build reproducible workflows, diagnose computational issues, create systematic tests, and improve memory usage, throughput, and performance. Review code and solutions, use coding agents in development, document technical findings, and deliver reliable work independently within project deadlines.