Top Python Jobs in Bangalore

Define test plans, design test cases and scripts to validate enterprise/datacenter NVMe SSD firmware. Create whitebox/greybox tests, debug NVMe/PCIe issues, integrate tests into automation, track results, and collaborate with firmware teams to close defects and validate fixes.

Design and implement scalable backend infrastructure and APIs, write robust code, collaborate in an agile environment, and support knowledge sharing. The role requires strong software engineering fundamentals and experience with Python, NoSQL databases, caching systems, and streaming technologies. Preferred experience includes Django or Flask, Linux, Bash, cloud computing, and loan lifecycle knowledge.

Leads Cisco’s India-based SONiC software engineering organization and serves as site leader. Responsibilities include managing engineering managers and teams, setting organizational strategy, hiring and workforce planning, developing technical talent, driving software delivery and operational support, and collaborating with global engineering teams. The role requires extensive experience in software engineering leadership, distributed or network systems, Linux production software, and technologies such as C++, Python, and Go.

Design and execute end-to-end automated test strategies for service portals across IP/MPLS networks. Develop Robot Framework test scripts, validate orchestration and automation, troubleshoot issues, integrate tests into CI/CD, mentor junior QA engineers, and report quality and performance metrics to ensure reliable product releases.

Build and maintain distributed, real-time systems supporting Point72’s Global Macro business. Develop SRE foundations, define and monitor SLOs, optimize infrastructure, identify capacity and performance issues, review automation code, troubleshoot system problems, and lead technical design reviews. The role requires coding with Python and PowerShell, familiarity with C#, cloud infrastructure, infrastructure as code, configuration management, and container platforms.

Designs, implements, and maintains Azure-based DevOps infrastructure, CI/CD pipelines, deployment automation, and infrastructure as code. Monitors application reliability, performance, security, and operational SLAs while troubleshooting complex deployment and runtime issues. Partners with development, IT, cloud, and security teams to improve system availability and delivery processes. Requires strong Azure, Terraform, GitHub Actions, Azure DevOps, scripting, database automation, and software troubleshooting experience.

Design, build, maintain, debug, and optimize high-volume mainframe business logic and mission-critical applications. Refactor legacy code to support cloud and mobile integrations, extract business logic for modernization, and work with Java, Python, .NET, databases, REST services, microservices, containers, messaging, and DevOps pipelines. The role also involves architecture design, testing, documentation, Agile development, and team coordination.

Supports Db2 LUW databases for multiple clients, including environment design, installations, upgrades, patching, migrations, troubleshooting, security, backup and recovery, performance tuning, and high-availability management. The role collaborates with clients and global DBA teams, supports projects and 24x7 incidents, develops automation and documentation, resolves complex issues, and mentors junior administrators. Rotating shifts and on-call participation are required.

Design, migrate, provision, and support large-scale HPC cloud infrastructure across AWS, Azure, and Google Cloud. Operate distributed cloud environments, build monitoring and alerting, troubleshoot incidents, perform root cause analysis, and implement mitigations. Configure and patch software, administer Linux systems, develop infrastructure programmatically using Terraform and Ansible, and support Kubernetes platforms. Collaborate with global teams, stakeholders, vendors, and technology risk teams on security compliance and Agile DevOps delivery.

Leads the engineering function by owning technical strategy, architecture, roadmap, team development, scalable system delivery, cloud-native infrastructure, reliability, security, incident response, and engineering standards. Partners with Product and leadership to convert business needs into technical solutions while managing key initiatives and evaluating new technologies. The role requires substantial software engineering experience, technical leadership, team management, distributed systems expertise, and experience with AI/ML-driven platforms.

Designs, develops, integrates, tests, certifies, and supports complex full-stack software for Honeywell Connected Industrial. Responsibilities include requirements analysis, architecture, coding, feature definition, verification and validation, customer support, debugging, and enterprise-scale issue resolution. The role requires developing microservices and reusable components using multiple programming languages, databases, cloud infrastructure, Agile and CI/CD practices, and software engineering principles.

Design, architect, test, and deliver scalable automation software using microservices and APIs. Collaborate with product, QA, and engineering teams; influence technical architecture; build cloud-native applications; and implement CI/CD pipelines supporting DevOps practices. The role requires strong software development experience in Golang, Java, or Python, plus expertise in Kubernetes, Docker, Jenkins, and Git. Preferred experience includes public cloud platforms, databases, and AI or LLM technologies.

Own verification planning and execution for RISC-V CPU Vector, ALU, and floating-point units. Develop SystemVerilog/UVM testbenches, tests, assertions, checkers, scoreboards, stimulus, and coverage models. Verify arithmetic, dependencies, forwarding, replay, exceptions, and execution-to-commit behavior. Perform debug, coverage closure, and root-cause analysis while collaborating with architecture, design, and verification teams. Improve reusable verification methodologies and automation for future CPU programs.

Develops scalable, secure, and maintainable software using Angular, Java, Spring Boot, Python, Golang, Docker, Kubernetes, and cloud platforms. Designs and codes software components, applies architectural patterns, drives Agile and DevOps practices, builds CI/CD pipelines, and embeds security, observability, reliability, and performance into the SDLC. Collaborates across engineering, QA, and operations to deliver high-quality solutions.

Designs, develops, integrates, tests, certifies, and supports complex full-stack software products. Responsibilities include requirements analysis, architecture, coding, feature definition, verification and validation, customer support, debugging, reverse engineering, and reusable component development. The role requires expertise in multiple programming languages, microservices, databases, cloud infrastructure, software architecture, Agile development, CI/CD, and test-driven development.

Develops pre-silicon RTL verification for PCI Express controller technologies. Responsibilities include creating testbenches and sequences, planning and coding functional coverage, expanding regression suites, monitoring and debugging regressions, triaging RTL and environment issues, and supporting verification scripting capabilities. The role requires SystemVerilog/UVM and Verilog/RTL experience, with Python and Tcl scripting preferred. It is a hybrid position with at least three onsite days weekly in Bengaluru.

Leads pre-silicon RTL verification for PCIe and CXL controller IP. Develops SystemVerilog/UVM testbenches and sequences, plans and implements functional coverage, expands regression suites, monitors and debugs regressions, triages RTL and test-environment issues, and supports verification scripting capabilities.

Lead DFT development for high-speed mixed-signal PMIC and SoC designs, including DFT IP creation, scan compression, ATPG, coverage analysis, silicon debug, pattern development, and flow deployment. Collaborate with design, verification, test engineering, and EDA teams on DFT architecture, constraints, yield improvement, silicon bring-up, and new methodology implementation.

Develop and operate reliable, scalable cloud platforms supporting eBay applications. Responsibilities include Kubernetes infrastructure, observability, incident response, root cause analysis, performance optimization, CI/CD improvements, and operational automation. The role requires strong Go or Python programming, distributed systems expertise, API design knowledge, and experience building high-availability production infrastructure.

Build, package, deploy, and debug software applications on internal test systems. Improve configuration management processes, create CI/CD pipelines, automate repetitive tasks through scripting, and develop software tools. Collaborate within Agile teams, mentor colleagues on testing methodologies, and improve software quality. The role requires administration-level Windows and Linux knowledge, packaging expertise, container knowledge, and 5–10 years of engineering experience.

Leads clearance design and analysis for gas and steam turbine components across new product, technology, research, and support programs. Evaluates thermal growth, mechanical deflection, manufacturing variation, assembly stack-up, transient operation, and component interactions. Develops analysis methods, interprets results, recommends design improvements, supports root-cause investigations, documents technical conclusions, collaborates with global engineering teams, applies Lean principles, and mentors less experienced engineers.

Leads cloud automation and quality engineering for Azure-hosted applications. Designs automated testing and infrastructure solutions using C# and .NET, provisions environments with Terraform or Bicep, develops CI/CD pipelines, and executes verification strategies for cloud applications. The role also supports secure, reliable, and high-performing deployments in an on-site Bengaluru digital solutions team.

Lead the architecture and implementation of highly available distributed backend systems serving millions of users at sub-50ms latency and over one million requests per second. Set organization-wide technical strategy, improve platform abstractions and developer tools, drive resiliency and architectural transitions, and partner with senior stakeholders. Establish standards for testing, monitoring, observability, incident response, and technical debt reduction across global production systems.

Build and improve reliable, scalable distributed content delivery systems. Define SLIs and SLOs, enhance monitoring and alerting, analyze performance data, resolve complex incidents, automate operational tasks, and participate in architecture reviews. The role requires scripting, Oracle SQL analysis, Unix/Linux expertise, and experience with observability tools including Prometheus, Grafana, ADBMS, and Datadog. Collaboration with product and cross-functional teams is central to ensuring high availability, performance, and resilience.

Build and maintain DevOps channels, CI/CD pipelines, continuous build environments, and automated testing frameworks. Develop Python-based UI, API, regression, smoke, and database tests using Selenium, Playwright, PyTest, and Unittest. Support Azure, containerized platforms, databases, application lifecycle management, and enterprise solution development. Collaborate on requirements, design, documentation, reviews, reporting, and customer-facing delivery while applying AI-assisted development and automation tools.