Top Python Jobs in Kolkata

Develop reusable, scalable, and testable Python applications using Django or Flask. Analyze requirements, build REST APIs, integrate external services and multiple databases, connect frontend elements with server-side logic, and implement authentication, authorization, security, and data protection. Experience with PostgreSQL, MySQL, NoSQL databases, and familiarity with JavaScript or Angular are relevant.

Architect and develop block-level verification environments using SystemVerilog and UVM; create constrained-random verification suites; run front-end simulations (VCS/NC), analyze code and functional coverage, perform gate-level signoff, debug ASIC logic with designers, and write scripts (Perl/Python/Tcl/shell) to improve verification infrastructure.

Build, test, and maintain backend and/or frontend features for a cloud-native SaaS platform. Develop and consume REST APIs, write well-tested maintainable code, participate in design and code reviews, troubleshoot production issues, and collaborate with product, design, and QA. Learn and apply AI-assisted development and cloud-native practices.

Design, build, and own end-to-end cloud-native SaaS features and services. Implement scalable APIs, event-driven workflows, background workers, and async processing. Improve performance, reliability, and observability; participate in design reviews, on-call rotation, mentoring, and cross-team collaboration. Apply AI-assisted development practices while maintaining security and quality.

Lead architecture and technical direction for cloud-native, high-scale SaaS platforms. Design distributed systems, drive platform modernization, mentor engineers, implement scalable APIs and backend services on AWS, and improve reliability, performance, observability, and DevOps practices.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.