Top Remote Jobs in Delhi

Own the architecture, technical direction, reliability, cost efficiency, and adoption of Atlassian’s analytical data platform. Build foundational ingestion, transformation, orchestration, compute, and consumption components; establish multi-tenant standards and SLOs; and lead cross-team technical initiatives. The role requires hands-on development, distributed systems expertise, batch and streaming architecture design, cloud experience, and mentorship of senior engineers.

Leads Zapier’s India entity as statutory Board Director and General Manager. Owns local operations, governance, legal, tax, audit, transfer pricing, regulatory compliance, risk management, vendor relationships, and people decisions. Serves as the bridge between India-based teams and global leadership, translating strategy into execution and establishing operating rhythms for a fully remote workforce. Partners with Deloitte, HR, finance, auditors, regulators, and global executives while overseeing hiring, performance, compensation, employee relations, and compliance with Indian labor requirements.

Reviews marketing, sales, and promotional communications for accuracy, regulatory compliance, clarity, balance, and risk. Applies EMEA requirements, including ESMA, CSSF, and FCA expectations, while partnering with Marketing, Sales, Legal, Compliance, Audit, and Controls teams. Manages reviews and escalations, educates colleagues on communications standards, and improves control processes and efficiency across markets.

Oversee private equity fund accounting, NAV calculations, capital accounts, waterfalls, carried interest, fees, expenses, transactions, valuations, and financial reporting. Review statements and investor packages, manage audits, ensure LPA and accounting-standard compliance, coordinate with auditors and tax advisors, and lead a fund accounting team. Drive controls, process standardization, automation, and system enhancements while supporting clients, GPs, and internal stakeholders.

Develop advanced avionics features for Honeywell’s ANTHEM cockpit platform. Responsibilities include analyzing customer and operational requirements, defining system architecture, managing requirements, integrating and testing systems, troubleshooting interfaces, conducting design reviews, and supporting SRR, PDR, and CDR milestones. The role requires collaboration across global teams, avionics certification knowledge, Agile development experience, and strong systems engineering expertise.

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Manage strategic projects from initiation through delivery, defining scope, timelines, deliverables, and success metrics. Track progress, risks, and reporting while facilitating governance meetings and senior leadership updates. Prepare executive presentations and synthesize business performance, project updates, KPIs, and transformation milestones into data-driven narratives. Partner with senior stakeholders across business, finance, operations, risk, technology, analytics, and BI teams, using dashboards and reports to support decision-making.

Supports month-end and quarter-end close, reconciliations, journal entries, consolidations, eliminations, allocations, intercompany accounting, audits, treasury activities, and financial reporting. Manages subsidiary funding and compliance across international entities, maintains audit-ready documentation, analyzes financial data, and improves accounting processes through automation. Partners with Finance, FP&A, Treasury, Tax, Legal, and other teams to resolve accounting issues and strengthen controls.

Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.