Top Python Jobs in Bangalore

Develop and verify simulation-efficient analog behavioral models for analog and RF blocks using SystemVerilog. Integrate models with RTL, validate them against analog schematics and design specifications, and create testbenches, scenarios, and assertions. The role also involves low-power architecture, Cadence Virtuoso and ADE workflows, documenting verification results, and collaborating with an engineering team. New graduates are encouraged to apply; DSP, FPGA prototyping, and testbench development experience are beneficial.

Leads design verification for radar IP, subsystems, and SoCs from specification through post-silicon validation. Owns verification strategy, methodology, environments, coverage, regressions, traceability, and signoff across multiple programs. Builds and mentors verification teams, collaborates with architecture, RTL, physical design, firmware, systems, and applications teams, and supports customer reviews and ISO 26262/ISO 21434 certifications. The role requires expertise in SystemVerilog/UVM, C-based verification, digital design, protocols, formal verification, and post-silicon debugging.

Design, build, operate, and scale eBay’s CI/CD infrastructure using Jenkins and Tekton. Develop Java/Spring Boot microservices, manage plugin ecosystems, architect distributed systems, and maintain storage infrastructure for artifacts, caching, logs, and pipeline data. Implement telemetry, monitoring, dashboards, automation, and reliability improvements across Kubernetes and cloud-native environments. The role requires hands-on coding, debugging, performance tuning, modernization, and ownership of critical production systems.

Build, validate, and release software for ARM-based platforms. Develop Python and Shell automation, improve CI/CD pipelines, troubleshoot Linux and architecture-specific failures, and investigate root causes using debugging and system tools. Collaborate with distributed engineering teams on build systems, cross-compilation, security controls, REST APIs, microservices, and database testing.

Designs and maintains scalable Python, Pytest, and Playwright automation across API, UI, backend, integration, and end-to-end workflows. Validates REST APIs, microservices, data pipelines, and complex cybersecurity product workflows. Integrates testing into CI/CD, performs root-cause analysis, improves testability and coverage, and mentors QA/SDET engineers. The role supports SIEM and threat intelligence products while exploring AI-assisted testing.

Owns the design, development, delivery, and lifecycle management of scalable cloud-native applications. Leads distributed systems, microservices, platform architecture, CI/CD, Kubernetes deployments, observability, test automation, reliability engineering, and DevSecOps practices. Provides technical leadership and mentorship while collaborating with cross-functional teams. Uses Java, Python, automation frameworks, cloud-native platforms, and AI-assisted development tools to improve software quality, delivery speed, and operational efficiency.

Owns and stabilizes large-scale production systems in a 24/7 environment. Responsibilities include critical incident management, monitoring, root cause analysis, reliability improvements, operational automation, dashboard and runbook maintenance, disaster recovery, customer communications, and cross-functional coordination. Provides technical leadership, mentorship, shift guidance, and reliability-focused architecture input while supporting cloud, Kubernetes, distributed systems, and observability platforms.

Supports and stabilizes large-scale production systems in a 24/7 environment. Responsibilities include incident management, monitoring, root cause analysis, reliability improvement, automation, dashboards, runbooks, disaster recovery, customer communications, and cross-functional coordination. The role provides technical leadership and mentorship while driving operational maturity and architecture decisions focused on reliability and operability.

Ensures the reliability, availability, performance, and scalability of systems and infrastructure. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, infrastructure automation, infrastructure as code, capacity planning, security compliance, CI/CD, deployment optimization, and post-incident improvement. The role collaborates with development, operations, and security teams to automate processes and maintain resilient, highly available environments.

Owns test automation, continuous integration, regression, test environments, pipelines, and release verification for a cloud-native telecommunications network management platform. Performs feature, system, deployment, upgrade, security, and release testing using Robot Framework, Python, Bash, Docker, Kubernetes, and CI/CD tools. Uses AI-assisted development tools and coaches junior engineers on test reliability and automation best practices.

Design, implement, integrate, and support enterprise integration platforms across cloud and on-premises environments. Build reusable API, messaging, file-transfer, and middleware capabilities; develop CI/CD pipelines; automate deployments; implement security controls; monitor platform health; troubleshoot production issues; and improve reliability and standardization. Collaborate with application, infrastructure, security, DevOps, architecture, and client teams while supporting modernization and enterprise platform operations.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Develops and enhances x86 server firmware using BIOS/UEFI and EDK II. Designs, codes, integrates, tests, debugs, and validates firmware across silicon, hardware, BMC, and operating systems. Investigates complex platform issues, supports security and power-management features, leads firmware projects, collaborates with global engineering teams and external partners, and mentors less-experienced engineers through production deployment.

Advanced Test Engineer responsible for requirements reviews, acceptance criteria, test planning, functional and non-functional testing, regression strategy, defect triage, root-cause analysis, and test automation. The role requires hands-on commissioning, troubleshooting, and maintenance of fire alarm systems, including Honeywell panels and specialized detectors. The engineer will develop Python-based automated tests using PyTest or Robot Framework, support Agile/Scrum teams, contribute to CI/CD, and help adopt AI-assisted testing practices.

Design and develop crash-dump, debugging, diagnostic, telemetry, and post-mortem analysis tools for GPU and AI accelerator platforms. Work across host software, drivers, firmware, hardware, and cloud infrastructure to diagnose failures, improve reliability, automate root-cause analysis, and support multiple accelerator architectures. Collaborate cross-functionally, participate in technical reviews, improve engineering practices, and mentor engineers while applying AI-assisted development workflows.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Advanced Test Engineer responsible for requirements reviews, acceptance criteria, test planning, functional and non-functional testing, regression strategy, defect triage, troubleshooting, and test automation. The role requires extensive fire alarm systems expertise, including installation, commissioning, maintenance, and site testing. The engineer will create Python-based automated tests using PyTest or Robot Framework, support Agile/Scrum delivery, collaborate with development and offering teams, and apply AI-enabled testing practices.

Design and develop scalable AKS/Kubernetes infrastructure for GPU and AI accelerator platforms. Build cluster lifecycle automation, node management, resource scheduling, deployment systems, health monitoring, failure recovery, observability, diagnostics, and reliability improvements. Troubleshoot distributed infrastructure across Kubernetes, containers, Linux, networking, and accelerator systems. Collaborate across software, hardware, control-plane, and platform teams while contributing to architecture, code quality, mentoring, and AI-assisted engineering practices.

Administer and govern enterprise Microsoft Fabric and Power BI platforms, including capacities, workspaces, gateways, access controls, security, monitoring, and performance optimization. Automate platform operations and deployments with Python, PowerShell, REST APIs, Git, and CI/CD. Lead incident response, troubleshooting, documentation, and continuous improvement while enabling governed AI Agents, Data Agents, semantic models, and Copilot analytics capabilities.

Quality Engineer II responsible for embedding quality throughout the software development lifecycle, certifying functional and non-functional product capabilities, and building automated API, UI, and functional tests. The role uses Java, Python, Playwright, API testing tools, AI and generative AI techniques, performance testing, CI/CD practices, cloud technologies, and collaboration with product and development teams.

Leads quality engineering across the software development lifecycle, certifies functional and non-functional requirements, owns testing for strategic products, and designs AI-enabled automation frameworks for APIs, integrations, UI, performance, and security testing. Collaborates with product, development, and support teams while implementing STLC processes, CI/CD practices, and quality standards for SaaS and cloud products.

The Senior Quality Engineer will build quality throughout the software development lifecycle, certify functional and non-functional features, own multiple product modules, and improve testing processes. Responsibilities include developing API, functional, and UI automation using Java, Python, and Playwright; testing REST/SOAP integrations; applying AI and generative AI to testing; conducting performance and scalability testing; and collaborating with product and development teams in a CI/CD cloud environment.

Architect and lead CMIS software stacks, host interoperability testing, manufacturing test orchestration, telemetry pipelines, customer SDKs, and developer tools. Ensure compliance with CMIS, OSFP, SFF-8024, OIF, and related standards. Responsibilities include regression testing with hyperscalers, ATE integration, yield analytics, firmware-to-cloud telemetry, release management, architecture documentation, and customer, manufacturing, and standards engagement. Travel up to 25% is required.

Build and maintain Bhanzu’s edtech platform across frontend and backend systems. Develop React and TypeScript interfaces, Python APIs and microservices, integrations, authentication, database structures, and end-to-end features. Optimize DynamoDB queries, maintain services, fix bugs, refactor legacy code, write documentation, and participate in code reviews while collaborating with product, design, and engineering teams.

Builds automated testing frameworks for web applications, covering UI, API, functional, integration, end-to-end, performance, and manual testing. Develops test strategies, executes Jenkins-based suites, manages test data across environments, contributes to quality metrics and test plans, and collaborates in an Agile engineering team. Requires Playwright, JavaScript, Python, JMeter, API testing, CI/CD, cloud, containerization, and version-control experience.