Top Python Jobs in Bangalore

Leads ASIC design verification across IP, subsystem, and SoC levels. Defines test plans, develops reusable UVM environments, drives functional and code coverage closure, debugs complex issues, and owns verification deliverables through sign-off. Applies AI-assisted workflows to improve test generation, debug, coverage analysis, and regression efficiency. Collaborates with architecture, design, validation, and cross-functional teams while advancing verification automation, quality, and process improvements.

Develop, maintain, debug, test, and qualify SoC design methodologies and EDA flows from RTL through GDS. Implement scripting-based workflows, verify flow signoff results, establish tool regressions, and integrate flows with engineering compute infrastructure. Support design engineers by resolving setup issues, documenting methodologies, training teams, and collaborating with IT and database management groups.

Lead end-to-end validation of network and packet processor SoCs from pre-silicon emulation and FPGA testing through post-silicon bring-up and product release. Develop comprehensive functional, performance, and stability test strategies; coordinate cross-functional teams; debug hardware, firmware, Linux, and datapath issues; and build automated CI/CD-based validation infrastructure. Drive issue triage, customer qualification, and AI-enabled testing, including predictive triage, log analysis, anomaly detection, and intelligent test selection.

Architects and leads digital verification strategies for complex analog mixed-signal ASIC products. Builds block, cluster, and full-chip UVM environments using constrained-random techniques; develops scoreboards, agents, sequencers, and monitors; debugs RTL and gate simulations; converts tests into ATE patterns; and collaborates with design, system, and test engineering teams to ensure first-silicon success.

Lead architecture, specification, design support, testing, validation, silicon debug, and productization of power management ICs. Develop system models, evaluation boards, test plans, technical documentation, and FMEA reports. Coordinate with marketing, design, test, validation, and applications teams, drive post-silicon characterization, support product reviews, and mentor junior engineers and new hires.

Lead end-to-end physical design for complex SoCs and digital blocks, including floorplanning, placement, CTS, routing, timing closure, STA, IR/EM, power integrity, and DRC/LVS sign-off. Develop P&R automation using Tcl, Python, Perl, and shell scripting; support ECOs and post-layout optimization; collaborate with RTL, STA, DFT, verification, and architecture teams; and mentor junior engineers.

Leads system-level integration, test strategy, automation, and validation for embedded networking and optical platforms. Develops firmware test plans, procedures, and automated test cases using C, Python, and Robot Framework. Owns SONiC switch OS integration, network bring-up, debugging, root-cause analysis, and CI readiness. Collaborates across software, ASIC, and systems teams while mentoring junior engineers and improving test framework architecture and reliability.

Develop and maintain internal Python frameworks, test automation tools, full-stack web applications, REST APIs, databases, CI/CD pipelines, and containerized deployments. Improve code quality, package management, automation, testing, and release workflows while supporting test engineering teams. Debug issues across application, database, and infrastructure layers, collaborate with distributed engineering teams, and apply AI tools to accelerate development.

Build and maintain automation solutions for accounts payable processes, including Excel and Access VBA applications, reporting tools, prototypes, and small-scale applications. Develop frontend and backend Microsoft-based solutions, troubleshoot and optimize system logic, implement production fixes, document systems, and test enhancements. The role requires translating business needs into accurate, hands-free workflows using RPA, AI, OCR, scripting, and cloud technologies.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Supports C3 AI customers by becoming a product expert, diagnosing and troubleshooting application issues, implementing platform or application fixes, testing solutions, and managing product change requests. Collaborates with Product, Engineering, and Customer Services teams to validate and document resolutions. The role also contributes to improving customer support processes, tools, and experiences while providing professional customer and partner communication.

Provide quality assurance for data-center networking products and customer-specific releases. Design test plans, execute manual and automated testing, debug automation failures, analyze logs, and validate complex scaled Layer 2 and Layer 3 solutions. Apply expertise in routing, switching, network protocols, routers, switches, traffic generators, and protocol analyzers while collaborating with development, QA, and program-management teams to deliver high-quality software test projects on time.

Designs, builds, and operates Kubernetes clusters on Amazon EKS, EC2 compute infrastructure, and ECS services. Develops Terraform infrastructure as code, defines containerization and deployment standards, monitors availability and cost, and contributes to workload placement, multi-tenancy, operating system image, container lifecycle, and compute isolation architecture. The role also requires collaboration with development and platform teams and expertise in cloud security, Linux, networking, CI/CD, and GitOps.

Design, develop, and maintain high-performance Databricks SQL drivers and partner integration infrastructure. Improve connector reliability, telemetry, and performance; maintain open-source repositories; engage the developer community; and collaborate with SQL server, product, and cross-functional teams. The role also involves shaping Databricks Partner Connect, defining technical requirements, architecting robust systems, and leading engineering projects across organizational boundaries.

Leads automation strategy, architecture, governance, and framework standardization across microservices-based products. Designs reusable testing capabilities for component, integration, API, and end-to-end testing; establishes quality standards for Docker and Kubernetes applications; mentors automation teams; partners with development, QA, DevOps, and platform engineering; evaluates tools; and drives AI-assisted testing, CI/CD quality practices, and organizational adoption of engineering standards.

Design and maintain automated tests for web applications, APIs, microservices, graph databases, analytics, AI/ML models, and agentic workflows. Build quality gates in CI/CD pipelines, provision ephemeral test environments, validate probabilistic outputs, monitor test reliability, and support root-cause analysis. Partner with engineering and data science teams on shift-left testing, model evaluation, graph data validation, release automation, and process improvements.

Designs, develops, tests, documents, and delivers Cisco customer proof-of-concept labs across networking, data center, SD-WAN, security, collaboration, and cloud architectures. Coordinates account teams, content developers, partners, customers, and engineers from requirements gathering through deployment. Uses AI coding tools, Ansible, and Terraform to automate scalable environments. Manages project tasks, designs platform architectures, supports escalations, documents fixes, and contributes to knowledge-base and training updates.

Defines next-generation AI networking switch ASIC architectures for hyperscale cloud and AI workloads. Leads architectural decisions, performance modeling, simulation, trade-off analysis, standards development, and roadmap direction. Collaborates with silicon, software, systems, product, and customer teams; represents Marvell in standards bodies and strategic discussions; and mentors engineering teams.

Develops and tests networking software and customer-specific solutions across complex enterprise and data center networks. Responsibilities include designing software changes, creating and executing test plans, automating tests, debugging code and automation failures, and collaborating with engineering partners. Requires advanced routing and switching expertise, knowledge of L2/L3 protocols, experience with EVPN-VXLAN and related technologies, and hands-on use of Spirent or Ixia test equipment.

The Data Engineer is responsible for developing high-performance distributed computing tasks, building analytical platforms, and working with various data technologies and tools to solve complex problems.

Develops FPGA applications for 5G core, RAN, and edge solutions, focusing on virtualization, performance optimization, security, and DSP algorithms. Handles customer escalations, supports field teams and distributors, contributes to development projects and reference designs, creates training materials, and collaborates with global R&D, application, and customer teams. Requires expertise in 5G architecture, DSP, FPGA and ASIC design flows, RTL-based design, transceiver methodologies, and complex system-level problem solving.

Leads the design and delivery of edge and cloud platform solutions, including distributed architectures, Kubernetes deployments, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and device lifecycle management. Establishes platform engineering enablement practices, architecture standards, observability, security, reliability, and deployment guardrails. Participates in architecture reviews, partners across product and infrastructure teams, and mentors engineers.

Lead the design and delivery of edge and cloud platform solutions, including Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and device lifecycle management. Establish architecture patterns, platform enablement workflows, security, observability, reliability, and operational best practices. Participate in architecture reviews, influence cross-functional stakeholders, mentor engineers, and guide scalable hybrid-cloud implementations.

Build and maintain automated API, integration, contract, regression, system, end-to-end, performance, scalability, and reliability tests for cloud platform services. Develop test frameworks, infrastructure, mocks, and tooling; integrate quality gates into CI/CD pipelines; investigate distributed-system failures using observability data; and partner with engineering and DevOps teams to improve software reliability and testability.

Build and operate reliable AWS cloud platforms through CI/CD, Infrastructure as Code, Kubernetes, automation, and observability. Improve platform reliability, scalability, security, resilience, and developer experience through self-service tooling and reusable deployment capabilities. Diagnose production issues, lead incident resolution, strengthen governance and disaster recovery, and mentor engineering teams while operating multi-tenant SaaS infrastructure.