Top Python Jobs in Bangalore

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.

Develop and enhance custom software solutions using Python, modern frameworks, and agile practices. Design scalable applications, integrate RESTful APIs and third-party services, optimize performance, document code and processes, and collaborate with cross-functional teams. The role also involves independently solving technical challenges, contributing to team discussions, and mentoring junior team members.

Develop full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted coding tools for rapid development, testing, debugging, and documentation. Collaborate with architects and AI specialists while delivering scalable, high-quality solutions through agile practices, SDLC processes, and cloud-native CI/CD pipelines.

Leads and develops a high-performing engineering team building scalable, reliable AI-driven growth and trust-and-safety platforms. Responsibilities include setting technical strategy, overseeing software delivery, partnering cross-functionally, hiring and mentoring engineers, managing stakeholder communication, and ensuring operational excellence, reliability, scalability, and incident readiness. Requires extensive engineering and management experience, strong technical leadership, and proficiency in a major programming language.

Leads a hands-on engineering team through coding, code reviews, system design, architecture, technical strategy, and AI-driven development. Builds and operates scalable distributed systems, improves engineering quality and reliability, mentors and hires engineers, and collaborates with Product, Business, and Operations to deliver customer- and business-aligned solutions.

Design and implement digital integrated circuits for communication semiconductor devices at block or top level. Responsibilities include microarchitecture, SystemVerilog RTL coding, synthesis, floor-planning support, DFT integration, static timing analysis, verification, and production support. The role collaborates with architecture, physical design, validation, software, applications, marketing, and manufacturing teams throughout the product lifecycle.

Design, build, and operate secure secrets-management services and distributed systems across multi-cloud environments. Develop cryptographic and zero-trust identity features, secure secret distribution, and highly available services. Participate in on-call support, debugging, code reviews, testing, tooling improvements, and mentoring. Apply AI-first development practices, evaluate human- and AI-generated code, and contribute to scalable, production-grade software architecture.

Build and maintain automated build, release, testing, and continuous delivery infrastructure. Develop internal tools and automation, improve CI systems, collaborate with Development, QA, and Operations, evaluate AWS technologies, and lead rollout of projects and processes. The role focuses on scaling infrastructure, reducing test execution time, supporting frequent high-quality releases, and gathering internal customer feedback.

Designs, develops, tests, deploys, and maintains enterprise Java solutions for tax technology applications. Leads architecture and delivery across major initiatives, translates business and regulatory requirements into scalable designs, enforces engineering standards, collaborates with stakeholders and vendors, troubleshoots complex issues, mentors team members, and provides technical leadership throughout the software development lifecycle.

Develop and maintain full-stack software for a risk analytics platform. Responsibilities include designing multi-tier web applications, Angular interfaces, Java services, REST APIs, microservices, data models, database solutions, and data integrations. The role requires testing, performance optimization, production support, collaboration, documentation, and management of multiple priorities. Candidates should have strong Java, Angular, SQL, DBMS, Unix/Linux, and software lifecycle experience, with at least eight years of relevant experience generally expected.

Design and implement scalable, secure custom application architectures using Google Cloud. Build reusable Terraform modules, automate GCP infrastructure deployments through Azure DevOps CI/CD pipelines, and integrate workloads across GCP, Azure, and AWS. Connect enterprise AI services, manage infrastructure lifecycles, apply SDLC and Agile practices, and enforce testing, security, version control, documentation, and cloud architecture best practices.