Top Python Jobs in Bangalore

Validates HPE networking and software solutions through system-level testing, automated test framework development, CI/CD integration, debugging, fault injection, scalability, performance, and interoperability testing. The engineer performs root-cause analysis, supports customer deployment validation, develops repeatable test plans, collaborates with engineering and product teams, and promotes quality engineering practices.

Develop and maintain automation frameworks for functional, integration, system, performance, and resilience testing of distributed networking solutions. Validate customer deployments, troubleshoot complex multi-layer failures using logs and observability tools, perform root-cause analysis, and improve testability and quality engineering practices. Collaborate with engineering, product, services, support, and customers while providing technical guidance and contributing to project and release activities.

Develop and lead architecture for a scalable platform that enables customers to build and deploy AI applications using MongoDB. Design, implement, test, debug, and optimize distributed systems and cloud infrastructure. Collaborate across research, product, design, and engineering teams; contribute to architecture, code reviews, development practices, and developer experience. Mentor engineers, own complex projects, and improve platform performance, scalability, and reliability.

Designs, develops, operates, and scales secure data platforms, backend systems, pipelines, and distributed services. Provides technical leadership, reviews code, influences architecture, and serves as a subject matter expert in data processing, storage, and reliability. Leads enterprise adoption of AI-assisted engineering and SDLC automation by establishing governance, security controls, quality gates, and measurable outcomes. Collaborates across global teams and promotes scalable engineering practices and technologies.

Leads customer solution validation for complex networking deployments and distributed platforms. Designs automation frameworks, integrates testing into CI/CD pipelines, performs system-level, resiliency, scale, and performance testing, and troubleshoots failures using observability data. Partners with customers and cross-functional engineering teams, conducts root-cause analysis, improves product quality and testability, provides technical leadership, and mentors engineers. The role requires strong programming, systems and networking expertise, quality engineering experience, and advanced troubleshooting skills.

Leads customer solution validation for complex networking deployments, designing automation frameworks and integrating testing into CI/CD pipelines. Performs system-level, resiliency, scale, performance, and interoperability testing across distributed platforms. Investigates failures using telemetry and observability tools, conducts root-cause analysis, and improves testability and operational readiness. Provides technical leadership, mentors engineers, influences engineering decisions, and collaborates with customers, architects, sales engineers, services teams, and product engineering groups.

Lead customer solution validation for complex networking deployments and distributed platforms. Design automation frameworks, integrate testing into CI/CD, and perform system-level, resiliency, scale, performance, and interoperability testing. Troubleshoot failures using observability and diagnostic tools, conduct root-cause analysis, and improve product testability. Partner with customers and cross-functional engineering teams, provide technical leadership, mentor engineers, and communicate quality findings and recommendations.

Leads customer solution validation for complex networking and distributed systems. Designs automation frameworks, integrates testing into CI/CD, performs system-level, resiliency, scale, performance, and interoperability testing, and investigates complex failures using observability data. Partners with customers and cross-functional engineering teams, presents technical findings, improves product quality and testability, mentors engineers, and drives quality engineering practices and automation innovation.

Leads customer solution validation for complex networking deployments, including automation framework development, CI/CD integration, system-level testing, resiliency, performance, and scale validation. Troubleshoots distributed platforms using telemetry and observability tools, performs root-cause analysis, and improves product testability. Collaborates with customers and cross-functional engineering teams, provides technical leadership, mentors engineers, and drives quality engineering practices and automation innovation.

Design, build, and operate Atlassian’s foundational data platform, including Flink streaming ingestion and MPP query systems such as StarRocks. The role owns architecture, production reliability, performance, cost, data quality, observability, code reviews, complex problem resolution, cross-team initiatives, and mentoring. Candidates need strong distributed-systems and data-engineering expertise, coding skills in Java, Scala, or Python, cloud infrastructure experience, and operational experience with high-scale platforms.

Lead performance engineering for HPE Alletra object and file storage products. Define testing strategies, KPIs, benchmarks, workload models, capacity plans, and release criteria. Design and automate performance and regression tests, investigate bottlenecks across software and infrastructure layers, conduct root-cause analysis, and influence architecture through scalability insights. Develop Python-based tools, support customer-critical escalations, contribute to readiness assessments, and mentor engineers.

Designs, executes, and automates software update validation for HPE Alletra storage platforms. Tests upgrades across storage software, Kubernetes, firmware, operating systems, switches, and infrastructure services, including resiliency, failover, recovery, interoperability, scalability, rollback, and disaster recovery scenarios. Troubleshoots issues across storage, Linux, Kubernetes, networking, and distributed systems, develops Python-based automation, performs root-cause analysis, and provides release-readiness recommendations.

Designs and executes performance validation, benchmarking, scalability testing, and workload analysis for HPE Alletra object and file storage solutions. The engineer develops automation and analytics tools using Python and JavaScript, diagnoses bottlenecks across hardware, operating system, networking, storage, and distributed software layers, and leads root-cause investigations. The role also defines performance metrics, acceptance criteria, capacity plans, and tuning strategies while collaborating with architects, developers, QA, and product teams.

Designs, develops, and supports NAS file protocols and storage systems. Troubleshoots issues across file systems, operating systems, networking, I/O, authentication, performance, and failover layers. Develops low-level C/C++ utilities and diagnostic tools, performs log and packet analysis, improves reliability, supports validation and testing, and collaborates with development, QA, and support teams to resolve complex system issues.

Designs, develops, supports, and troubleshoots NAS file protocols and storage systems. Works across filesystem, I/O, operating system, networking, and protocol layers to resolve complex issues. Develops low-level C/C++ utilities, improves performance and reliability, performs log, packet, and trace analysis, and supports testing for scalability, resiliency, data integrity, and failover. Collaborates with development, QA, and support teams while documenting technical findings and recommendations.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Develop and lead platform software for enterprise storage systems, including device drivers, Linux internals, hardware bring-up, firmware features, storage management, networking, and cloud-related applications. Code and test in C, C++, Golang, and Python; design simulation and failure-analysis tools; debug system integration issues; and collaborate across hardware, firmware, networking, and architecture teams. Provide technical guidance and mentoring to less-experienced engineers.

Own reliability and operational integrity for a global infrastructure fleet spanning GCP, AWS, and bare metal. Build production automation, self-healing provisioning systems, hardware lifecycle workflows, telemetry pipelines, and autonomous remediation capabilities. Define production-readiness standards with software engineering teams, including SLOs, health checks, and rollback requirements. The role also contributes to Agile processes and requires deep Linux systems expertise, cloud infrastructure experience, infrastructure-as-code proficiency, and strong Python or Go development skills.

Develops comprehensive validation plans and Python-based automation for firmware, BIOS/UEFI, iLO products, and server platforms. Executes system-level qualification, analyzes defects, supports release readiness, and collaborates with quality, development, and outsourced teams throughout the software testing lifecycle. The role also applies AI and GenAI tools, including GitHub Copilot, to improve test design, debugging, and automation productivity.

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans, frameworks, and continuous validation solutions; debugs NVMe and PCIe issues; analyzes quality risks; and drives cross-functional issue resolution. Partners with hyperscale customers, leads complex programs, mentors engineers, and applies AI, machine learning, and generative AI to improve test coverage, failure analysis, reporting, and validation productivity.

Maintain and troubleshoot Cloudflare’s global fleet of compute and storage servers. Validate, deploy, and monitor firmware updates; collaborate with software, SRE, data center engineering, vendors, and sourcing teams to resolve hardware issues. Develop automation for fleet firmware management, investigate server faults, assess performance, and communicate results through documentation, talks, blog posts, and tickets.

Validate enterprise client applications across desktop and mobile platforms, covering installation, upgrades, authentication, secure access, networking, policy enforcement, diagnostics, and customer workflows. Develop and maintain Python-based automation using frameworks such as Playwright, Selenium, and Appium; integrate tests with CI pipelines; analyze failures; debug client, operating system, network, and configuration issues; reproduce field defects; and support defect triage, release readiness, and continuous QA improvement.

Validate enterprise client applications across desktop and mobile platforms, including installation, upgrades, authentication, secure access, networking, policy enforcement, posture checks, diagnostics, and customer workflows. Develop and maintain Python-based automation using frameworks such as Playwright, Selenium, and Appium. Integrate automated suites with CI pipelines, triage failures, debug client and network issues, reproduce customer defects, and support release readiness, defect triage, and continuous QA improvement.

Implement, configure, and support SMAX in cloud-native Kubernetes or OpenShift environments. Provide L2/L3 ITSM production support, resolve incidents within SLA, perform root cause analysis, and support deployments, patches, and upgrades. Manage integrations with enterprise tools and backend components including PostgreSQL, Elasticsearch, and Kafka. Develop SQL queries, reports, dashboards, and KPIs while performing data validation, reconciliation, and basic performance tuning. Drive automation, troubleshooting, and platform improvements.

Design, develop, troubleshoot, and maintain CI/CD pipelines and developer tools. Build integrations with backend systems, perform root cause analysis, resolve production issues, develop pipeline observability tools, document troubleshooting procedures, and maintain secure developer resources. The role requires collaboration, independent problem-solving, and moderate supervision in an onsite or hybrid Bangalore office environment.