Top Python Jobs in Bengaluru

Design and build scalable backend systems for video-on-demand content ingest, transcoding, adaptive bitrate packaging, storage, and delivery. Own features end to end, contribute to architecture, optimize processing workflows, integrate platform services, and maintain production reliability through monitoring, on-call support, and incident response. The role also involves code reviews, engineering best practices, cross-functional collaboration, and mentoring junior engineers.

Supports RF and microwave engineering for radar and antenna systems through design, analysis, simulation, measurements, testing, debugging, and documentation. Works with phased arrays, beam steering, RF front ends, electromagnetic simulations, link budgets, S-parameters, impedance matching, and RF hardware characterization. Develops Python or MATLAB scripts for RF data analysis, visualization, and automation while collaborating with experienced RF engineers.

Build and ship end-to-end product features across React frontends and Django backends. Design data models, RESTful APIs, responsive user interfaces, and algorithmic or AI-driven logic involving scoring, ranking, and decision rules. Optimize performance through efficient queries and caching, write production-ready code, and work independently with a distributed startup team. Experience with GCP, Redis, Docker, Kubernetes, React Native, or AI coding assistants is advantageous.

Develop firmware for ESP32, STM32, and Arduino-class devices; integrate sensors and actuators; implement I2C, SPI, UART, RS485, and Modbus communications; connect devices through MQTT over WiFi/GSM; and test and debug production hardware using lab instruments. The role is onsite and begins as a three-month unpaid internship, with potential conversion to full-time employment based on performance.

Enable SRE teams to deliver end-to-end business observability with Dynatrace: integrate custom business metrics via Python, design business-centric dashboards, apply AI-based root cause analysis, monitor SAP BTP and Kubernetes, and coach SREs. Deliver optimized Dynatrace setups, production-ready scripts, dashboards, alerting rules, and documentation.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Build APIs and microservices for a large hyperlocal platform, work with real-time data and databases, optimize queries and performance, and collaborate with product and engineering teams to ship features. The intern will gain experience with infrastructure, distributed systems, and backend scalability while taking ownership of code and developing practical software engineering skills.

Design, build, and operate scalable Java and Spring Boot backend services, APIs, asynchronous workflows, and integrations for a content management platform. Responsibilities include metadata validation, publishing controls, workflow automation, observability, auditability, resilience, security, deployment, and production support. The role requires distributed-systems expertise, cloud infrastructure experience, performance tuning, CI/CD, containerization, and collaboration with cross-functional engineering teams.

Configure, deploy, and support enterprise WAN solutions, including circuits, routers, switches, SD-WAN, routing protocols, VPNs, firewalls, and network policies. Monitor and optimize WAN performance, troubleshoot Layer 2 and Layer 3 issues, coordinate with ISPs, maintain network documentation, and provide L2/L3 incident support. Participate in change and incident management processes.

Owns the architecture, integration, automation, qualification, release, and production support of CAD back-end flows for custom design, physical implementation, signoff, verification, and tapeout. Integrates major EDA tools, PDKs, libraries, and technology files; builds regression infrastructure, dashboards, and reproducible release processes. Develops AI-assisted and agentic workflows for orchestration, monitoring, failure analysis, and QoR optimization while mentoring engineers and supporting advanced-node semiconductor programs.

Own physical implementation and sign-off of advanced semiconductor blocks from RTL through GDSII. Responsibilities include synthesis, floorplanning, placement, CTS, routing, timing closure, extraction, physical verification, EM/IR analysis, and PPA optimization. The role develops automation and methodology flows, resolves complex design-closure issues, collaborates across architecture and silicon teams, leads tapeout execution, and mentors engineers working on AI, CPU, GPU, memory, and other high-performance designs.

Own block-level and full-chip physical verification signoff for advanced ASIC and SoC designs through tape-out. Execute and debug DRC, LVS, ERC, PERC, antenna, reliability, density, and pattern-matching checks using Calibre and ICV. Drive physical ECOs in Innovus or Fusion Compiler, develop Tcl and scripting automation, resolve advanced-node issues, and collaborate across design, CAD, reliability, foundry, and EDA teams. Mentor engineers and optimize scalable signoff methodologies.

Lead architecture, transistor-level design, optimization, and verification of high-performance, low-power standard cells and custom digital circuits for advanced AI and HPC silicon. Own PPA optimization, arithmetic circuit development, statistical and reliability verification, layout collaboration, characterization, ASIC sign-off, methodology improvements, and silicon readiness. Mentor engineers and provide technical leadership across circuit design and advanced semiconductor development.

Leads RTL-to-gate synthesis, static timing analysis, timing closure, power optimization, and sign-off for advanced AI, CPU, VPU, and HPC silicon. Owns constraints, multi-mode multi-corner analysis, ECOs, low-power implementation, hierarchical timing convergence, and physical-aware optimization. Develops automation and implementation methodologies using Tcl, Perl, and Python while collaborating with RTL, DFT, physical design, CAD, verification, and product teams.

Leads DFT architecture, methodology, implementation, verification, sign-off, silicon bring-up, and production ramp for complex AI and high-performance ASIC/SoC designs. Oversees scan, ATPG, MBIST, LBIST, JTAG, fault simulation, coverage closure, memory repair, timing, and test-mode integration. Partners across RTL, verification, physical design, STA, validation, manufacturing, and product engineering. Drives DFT tools and automation, post-silicon diagnosis, yield improvement, quality metrics, and team leadership.

Develop and maintain mission design software for space situational awareness infrastructure. Responsibilities include orbital and mission simulations, computational optimization, sensitivity analysis, delta-V and link budgets, mission operations planning, sensor scheduling, software deployment, testing, technical reviews, and stakeholder presentations.

Design, operate, and secure Glomo’s GCP and Kubernetes platform supporting real-time payment systems. Manage infrastructure as code, GKE clusters, PostgreSQL and Redis databases, CI/CD, observability, disaster recovery, incident response, network security, IAM, compliance, and cloud cost optimization. Partner with engineering, security, and compliance teams while maintaining highly available, scalable, and PCI-DSS-compliant infrastructure.

Own backend systems end to end by designing, building, scaling, and deploying reliable services and APIs. Improve performance, security, maintainability, and data integrity; diagnose bottlenecks; conduct rigorous code reviews; and establish engineering best practices. Collaborate with product, design, and frontend teams to translate requirements into scalable solutions. Independently lead complex features, contribute to technical planning, and mentor junior engineers.

Design, build, test, and maintain scalable backend services and APIs. Participate in architecture (LLD/HLD), debug production issues, implement observability and performance improvements, deliver features end-to-end, perform code reviews, and mentor junior engineers.

Owns day-to-day operations of a multi-database production estate, including upgrades, migrations, query tuning, backups, restores, failover, access management, monitoring, incident response, and customer data requests. The role automates DBA workflows with Python or Bash, supports Redshift reporting over Iceberg tables on S3, maintains audit readiness, and participates in on-call operations while collaborating with development, ML, DevSecOps, and customer teams.

Develop scalable full-stack web applications using Python, React or Next.js, PostgreSQL, and REST APIs. Responsibilities include backend and frontend development, database optimization, performance and reliability improvements, troubleshooting, testing, code reviews, and collaboration with product, design, and engineering teams in an Agile/Scrum environment.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.

Build and operate scalable backend services for logistics, credit, compliance, and AI-driven applications. Responsibilities include designing high-throughput APIs and workflows, developing distributed and real-time systems, making data and reliability decisions, implementing testing and monitoring, and owning production services through deployment and debugging.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.