Top Tech Jobs & Startup Jobs in India

Senior individual-contributor and hands-on technical leader building scalable data infrastructure and analytics for private markets. Architect and oversee data pipelines/platforms (Snowflake, SQL, Python), define engineering standards, champion data governance, drive AI/ML adoption, and manage data engineering delivery and a team while aligning technical solutions with business priorities.

Design, architect, and deliver resilient, scalable full-stack SaaS solutions using distributed microservices and cloud-native technologies. Build and maintain front-end and back-end systems, leverage relational and NoSQL databases, containerization, and cloud services, and promote engineering excellence. Collaborate with architects and product managers to deliver secure, robust customer experiences while improving availability, resilience, and scalability.

Process high-volume vendor invoices and payments across multiple entities, currencies, and international vendors. Perform reconciliations, purchase-order matching, variance analysis, and month-end and quarter-end close support. Investigate discrepancies, ensure policy compliance, maintain accurate financial records, and coordinate with vendors and global finance stakeholders across time zones.

Leads Crunchyroll’s global content rights administration function, overseeing contract-term entry into Rightsline across distribution channels. Establishes operating models, validation controls, exception and change-management workflows, audit processes, and cross-functional handoffs. Partners with technology teams to improve Rightsline and manages a globally distributed rights management team. Requires substantial media rights and contract-management leadership experience, strong understanding of contract language and data flows, and cross-functional operational leadership.

Build and maintain high-performance distributed payment platforms handling millions of transactions. Own functionality end to end, from architecture and design through production launch. Improve system scalability, resilience, reliability, and security while collaborating across teams and time zones. The role involves Java development, code reviews, testable code, and financial infrastructure supporting global merchants and consumers.

Own technical recruiting searches from intake through offer acceptance, including sourcing, screening, interview coordination, hiring-manager consultations, and closing candidates. Build pipelines through calls, referrals, LinkedIn Recruiter, and Naukri; develop technical understanding of engineering roles; use AI tools responsibly; maintain Greenhouse data; track recruiting metrics; and handle candidate information confidentially. The role is hybrid in Hyderabad and supports teams across India, Europe, and the United States.

Build and maintain platform-level microservices, internal tools, and foundational services using Golang, ReactJS, Docker, Kubernetes, and PostgreSQL. Design scalable distributed architectures, CI/CD pipelines, and secure cloud-ready systems. Support developer experience through libraries, patterns, and documentation while improving observability, reliability, and performance. Collaborate with engineering, DevOps, and product teams on architecture, code reviews, and technical design.

Develop and support cloud-based healthcare platforms and web applications that use AI/ML and rules engines to automate prior authorization. Contribute to technical roadmaps, design, feature development, testing, releases, production support, and database-to-frontend engineering. Collaborate with product, design, and engineering teams while using Java or Python, React, JavaScript, cloud services, relational and NoSQL databases, version control, unit testing, and CI/CD.

Provides technical leadership for support operations involving EDI, API, SFTP, and transaction ecosystems. Leads P1/P2 incident response, advanced troubleshooting, root-cause analysis, backlog governance, SLA adherence, queue health, coaching, and process automation. The role focuses on reducing repeat failures, improving resolution times, maintaining ticket quality, and strengthening team capability through structured escalation management and operational improvements.

Build data models, analytics products, dashboards, and automated reporting using SQL and Python. Translate business questions into actionable analyses, define KPIs, apply statistical and predictive methods, maintain data quality and governance, and communicate findings to nontechnical stakeholders. The role also emphasizes tested, version-controlled code, AI-enabled analytics workflows, and collaboration across Sales, Product, Engineering, Finance, and Commercialization.