Top Tech Jobs & Startup Jobs in India

Own strategic customer relationships for IonQ’s quantum computing platform, developing lifecycle and adoption plans, defining health metrics, reducing churn, and driving renewals and expansion. Translate technical capabilities into business value, shape new service offerings, and collaborate with Product, Marketing, Sales, and Engineering. Represent IonQ in industry forums while aligning cross-functional initiatives and advising executive and technical stakeholders.

Coordinate suppliers, materials, logistics, quality, engineering, and production planning to ensure components arrive on time and meet quality requirements. Manage cross-functional teams, address supplier nonconformances, mitigate supply risks, monitor raw material and sub-assembly availability, support supplier evaluations, and provide management reports on gaps and corrective actions.

Leads 3–4 cross-functional engineering squads delivering scalable distributed systems. Oversees architecture, Java and cloud-based development, technical quality, DevOps, CI/CD, performance, security, and technical escalations. Partners with architects, product leaders, and stakeholders on roadmap delivery, capacity planning, and hiring. Coaches engineering staff, manages performance, drives career development, and promotes GenAI-enabled systems, agentic workflows, and AI-assisted software development practices.

Lead international payroll processing across Australia, Canada, France, Germany, India, and the UK. Ensure payroll accuracy, statutory compliance, vendor performance, audit readiness, reporting, journal entries, and month-end close. Partner with People Operations, Finance, Accounting, Benefits, and external providers to improve payroll controls, integrations, data quality, automation, and employee support.

Provide high-touch support to the Co-Founder by managing calendar and communications, tracking deliverables, preparing and reviewing documents, coordinating meetings, handling sensitive information, streamlining operations, and executing ad hoc initiatives (social media, team coordination) to ensure priorities and deadlines are met.

Develop scalable AI and machine learning systems that infer business processes, decision logic, variations, and exceptions from event logs, documents, screen recordings, and UI traces. Build process representations, retrieval and grounding systems, evaluation frameworks, and reliability tooling for downstream agentic execution. Apply algorithms, graph methods, structured prediction, representation learning, foundation-model adaptation, and multimodal techniques while translating research into production systems.

Leads end-to-end Equity Swaps and hedge operations, including trade processing, settlements, reconciliations, resets, corporate actions, collateral, cash movements, and securities lending. Oversees operational risk, controls, escalations, regulatory support, and process improvements. Partners with Front Office, Technology, Treasury, Finance, and Risk to develop scalable operating models, while managing, coaching, and developing operations staff.

Lead and manage a team of Software Engineers and Site Reliability Engineers to enhance internal developer platforms, focusing on automation and productivity.

Develop and support SAP ABAP solutions across ECC and S/4HANA, including RICEFW objects, OData services, REST and SOAP APIs, web services, and SAP BTP integrations. Configure interfaces using IDocs, RFCs, BAPIs, proxies, and related technologies. Perform technical analysis, debugging, performance tuning, documentation, and testing while collaborating with functional consultants, architects, and stakeholders.

Develop and optimize astrodynamics algorithms for space situational awareness, including orbit determination, propagation, conjunction analysis, and orbital prediction. Improve scalable, production-grade software and support system integration, testing, deployment, and operations. Research advanced numerical, AI, machine learning, and cloud-based techniques; collaborate across engineering, data science, operations, and product teams; mentor junior staff; and contribute to technical documentation, proposals, publications, and intellectual property.