Top Python Jobs in Bangalore

Develop and sustain complex data-center packet-forwarding software for Layer 2 and Layer 3 networking, including IPv4/IPv6, MPLS, SRv6, EVPN-VXLAN, multicast, firewalls, and DHCP. Translate customer requirements into software designs, debug microkernel/Linux issues, resolve field problems, and collaborate cross-functionally on innovation. The role requires strong C/C++/Python programming, networking, router or switch development, datapath ASICs, operating systems, data structures, and GDB debugging expertise.

Develop and sustain complex data center packet-forwarding software for routers and switches. Design and implement networking features including IPv4/IPv6, MPLS, SRv6, EVPN-VXLAN, multicast, firewalling, QoS, DHCP, and services. Debug Linux and microkernel issues, improve automated unit testing, collaborate across teams, and resolve customer-reported issues. The role also requires working with datapath ASICs, multicore architectures, and software development lifecycle practices.

Leads system-level verification for high-performance IP routing platforms, including functional, scale, stress, and performance testing. Designs test frameworks and automation, validates software-hardware integration, analyzes customer issues, and drives root-cause resolution. Uses Python, Linux, networking test equipment, routing protocol expertise, and GenAI-assisted analysis to improve test coverage, debugging, and regression workflows. Partners with software, hardware, and architecture teams to ensure product quality and scalability.

Tests IP networking software through automated and manual test plans, builds data center network configurations, reviews requirements, troubleshoots issues using packet captures and logs, and collaborates with developers to improve product quality. The role requires advanced Layer 2 and Layer 3 networking expertise, familiarity with networking operating systems and data center protocols, Python proficiency, Linux knowledge, and at least five years of relevant experience.

Design and validate large-scale network topologies for software releases, investigate field issues, support customer proofs of concept and escalations, and develop Python-based test automation. The role requires deep expertise in IP routing, multicast protocols, network architectures, traffic-generation tools, and service-provider, cloud, and data-center deployments. AI/ML-based testing experience is also valued.

Designs and executes functional, interoperability, scale, convergence, and customer PoC testing for data center switching fabrics. Validates BGP, EVPN-VXLAN, IPv6, RoCEv2, lossless Ethernet, AI/ML fabrics, SAI integration, ASIC behavior, and high-speed optics. Builds customer network topologies, analyzes traffic with Ixia or Spirent, troubleshoots control/data/physical layers, documents defects, verifies fixes, produces reports, presents findings, and automates workflows using Python and testing frameworks.

Develops test plans and automated validation solutions for iLO firmware and server platforms. Performs hands-on product qualification, collaborates with quality and development teams across the software testing lifecycle, validates server hardware and low-level components, and applies Python, Redfish APIs, AI-assisted development, and emerging testing technologies to improve software quality.

Provides expert L3 break/fix support for large-scale Juniper routing networks. Leads complex troubleshooting, isolates hardware and software issues, reproduces customer environments in labs, determines root causes, validates fixes, and coordinates resolution with customers and engineering. Supports Juniper PTX and MX platforms, mentors engineers, delivers technical guidance and training, documents solutions, and participates in product development and knowledge-base activities. The role is onsite with weekend and pager rotation coverage.

Designs and executes automated testing for cloud solutions, including scale, reliability, security, performance, and resiliency testing. Builds automation frameworks, CI/CD pipelines, test harnesses, and infrastructure-as-code environments. Investigates defects, performs root-cause analysis, collaborates across engineering and product teams, and guides QA partners. The role also involves integrating AI tools into workflows, maintaining product configurations, mentoring team members, and supporting cloud and on-premises environments.

Provide global technical support for HPE SAP HANA deployments, focusing on APJ customers. Diagnose and resolve compute, storage, networking, virtualization, and Linux issues within SLA requirements. Document solutions and best practices, mentor junior staff, and provide regular APJ-hours coverage plus monthly weekend standby support. The role requires strong HPE infrastructure support experience, Linux expertise, troubleshooting ability, and advanced English communication skills.

Designs, develops, and deploys automation tools and testing infrastructure for Identity services. The role builds maintainable software to verify product quality and performance at scale, working across software design, test engineering, distributed systems, cloud infrastructure, and security technologies.

Implement, maintain, and optimize AI-enhanced network monitoring, anomaly detection, automated remediation, and telemetry integrations across hyperscale hybrid cloud infrastructure. Collaborate with Network Engineering and TechOps, document automated procedures, and participate in 24x7 on-call rotation to ensure high availability and rapid incident response.

Lead the technical evolution and long-term architecture of Jira Data Management. Drive enterprise-scale data movement, governance, resiliency, reliability, performance, security, and observability initiatives. Own a 12–24 month platform roadmap, lead major architectural programs from strategy through delivery, conduct design and incident reviews, solve high-risk technical problems, and mentor senior and principal engineers across Jira Platform.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Design, build, and scale infrastructure software, APIs, developer platforms, and self-service tools. Automate provisioning, configuration, deployment, and runtime operations while reducing engineering toil. Apply software engineering best practices, develop observability and self-healing systems, maintain reliability, and collaborate with Security, Systems, and Product Engineering teams. The role focuses on backend systems, infrastructure automation, CI/CD, testing, and scalable developer tooling.

Designs, develops, tests, deploys, and troubleshoots cloud application modules and features. The role involves automating testing, applying security policies, supporting deployment environments, analyzing technical problems, and collaborating with project managers, developers, and technical contributors. Candidates should have programming experience in Python, Java, Golang, or JavaScript, familiarity with cloud-native development and managed services, and knowledge of DevOps practices including CI/CD and Kubernetes orchestration.

Investigate, troubleshoot, and resolve issues across critical business applications. Monitor system performance, analyze logs, identify root causes, implement fixes, and coordinate with development and operations teams. The role serves as a subject matter expert, manages team decisions, collaborates cross-functionally, mentors junior engineers, and proactively reduces application downtime and operational risk.

Design, deploy, and administer Datadog monitoring across infrastructure and applications. Configure monitors, APM, RUM, dashboards, SLA/SLOs, and ITOM/ITSM integrations. Troubleshoot observability issues, resolve incidents, analyze monitoring data, identify root causes, and collaborate with technical teams. The role requires Datadog expertise, Python or Ansible proficiency, cloud monitoring knowledge, strong analytical skills, and effective communication.

Designs and deploys Datadog monitoring across infrastructure and applications, integrating with ITOM and ITSM platforms. Configures metrics, anomaly detection, composite monitors, APM, RUM, dashboards, alerts, and SLA/SLO definitions. Troubleshoots observability issues, analyzes metrics and logs, supports incident management, and collaborates with development and operations teams. Requires strong Datadog expertise, Python and Ansible proficiency, cloud knowledge, and at least five years of experience.

The CG Supervisor leads the visual and technical quality of CG work across a VFX project. They translate the VFX Supervisor’s vision into pipeline solutions, supervise CG departments, mentor artists and leads, establish workflows, manage quality and deadlines, resolve production risks, optimize rendering and scene performance, and support pipeline improvements, documentation, and talent development. The role requires close collaboration with production, department heads, technology teams, and global studio partners.

Design, develop and validate aerodynamics methods and aerodata tools; analyze business context, design and document solutions, support implementation, ensure software quality, run feasibility studies, perform V&V, and collaborate within cross-functional teams to integrate multidisciplinary interfaces.

Develop and architect high-performance PCIe firmware and driver software for Microsoft's Data Processing Unit. Responsibilities include designing secure PCIe firmware, developing and debugging PCIe issues with protocol analyzers, conducting code reviews, and mentoring engineers. The role requires embedded or operating system kernel development, complex software architecture, PCIe expertise, and proficiency in systems programming languages.

Own and scale Azure infrastructure, Azure DevOps CI/CD pipelines, security permissions, and DevOps methodology for Microsoft’s silicon front-end CAD organization. Develop Python-based CAD automation and integrations, improve reliability through monitoring and incident response, partner with EDA, Azure, and security teams, drive infrastructure roadmaps, and mentor engineers and interns.

Develop and test web-based applications within Cisco’s Asset and Entitlement Engineering team. Responsibilities include coding, debugging, code reviews, vulnerability remediation, unit and integration testing, and collaborating with engineers and business partners. The role uses Java, J2EE, MongoDB, Python, PL/SQL, web services, JSON, databases, Agile practices, and DevOps tools, with opportunities to apply AI coding tools, language models, and prompt engineering.

Develop and maintain full-stack, cloud-native software across frontend, backend, APIs, databases, integrations, and infrastructure. Build AI agents and agentic Ask/Respond capabilities using LLM frameworks, remediate vulnerabilities, troubleshoot production issues, and deliver secure, high-quality features through agile SDLC practices. Collaborate with product and cross-functional teams, contribute to architecture decisions, improve engineering processes, and mentor teammates.