Top Linux Jobs in Bangalore

Develop and test Ericsson cloud-native infrastructure products supporting 5G networks. Responsibilities include requirements analysis, application design, software development, test automation, feature and module design, and AI-enabled workflow integration. The role uses Agile practices and technologies including Go, Python, Kubernetes, Helm, Docker, microservices, REST APIs, Robot Framework, Linux, Git, and AI/ML tools.

Develop cloud-native infrastructure products for Ericsson’s 5G portfolio, including requirements analysis, application design, software development, test automation, and AI-enabled workflows. The role requires building microservices and REST APIs with Go and Python, using Kubernetes, Helm, and Docker. Responsibilities include integrating LLMs, ML models, and intelligent agents; designing features aligned with architecture guidelines; and working with Agile development tools and open-source technologies.

Architects and optimizes scale-up GPU networking for HPC and AI systems. Designs GPU-to-NIC data movement, DMA pathways, memory registration, and multi-NIC NUMA mappings. Integrates CUDA, ROCm, NCCL, RCCL, UCX, Libfabric, OpenMPI, and SHMEM-based communication stacks. Leads upstream open-source contributions, performance profiling, complex debugging across software and hardware layers, architecture decisions, cross-team delivery, and mentoring of senior engineers.

Lead architecture, deployment, management, and optimization of Couchbase and Oracle database environments, with emphasis on Couchbase on Kubernetes. Responsibilities include installation, patching, upgrades, backup/recovery (RMAN), performance tuning, monitoring, security, capacity planning, troubleshooting, lifecycle management, and leading DB projects with 24x7 support responsibilities.

Deploys, configures, integrates, tests, troubleshoots, and maintains telecom applications and cloud-native network functions across virtualized and containerized 4G/5G environments. The role manages Kubernetes, Docker, OpenShift, Linux/RHEL, OSS orchestration, ETSI MANO, and VNF/CNF lifecycle activities. Responsibilities include system integration testing, network and infrastructure troubleshooting, automation with Python and Ansible, deployment readiness, operational handover, and collaboration with application, infrastructure, network, and customer teams.

Leads software engineering and Azure DevOps initiatives for mission-critical production environments. Develops secure code, guides engineers, governs CI/CD and infrastructure automation, and improves SDLC practices. Builds RESTful APIs and cloud-native systems using containers, Kubernetes, Terraform, and observability tools. Drives responsible enterprise AI adoption for software development and SRE workflows, establishing validation standards, security controls, and operational guardrails.

Lead infrastructure software engineering for Linux platforms across on-premises, virtualized, and cloud environments. Responsibilities include building standardized operating system images, automating provisioning and software distribution, managing RPM pipelines, developing REST APIs and microservices, supporting Kubernetes and Windows Server, and troubleshooting complex infrastructure issues. The role also leads adoption of secure, responsible AI-assisted engineering practices and contributes to automation, CI/CD, testing, and operational stability.

Lead software engineer responsible for full-lifecycle Java development, cloud adoption, infrastructure automation, CI/CD, release and stakeholder management, and production L3 support. The role leads secure adoption of AI-assisted engineering practices, validates AI outputs, manages technical requirements and design documentation, and contributes across agile software delivery. Strong experience with Java, public cloud, Linux, Terraform, Ansible, Git, and CI/CD is required; kdb+/q and financial messaging knowledge are preferred.

Develop and maintain SONiC network operating system platform features and system software. Troubleshoot complex Linux and hardware-level issues, collaborate with hardware and QA teams, participate in code reviews and architecture discussions, and lead technical documentation. The role requires expertise in C/C++, Linux systems, device drivers, kernel development, networking, embedded platforms, hardware interfaces, and high-speed packet forwarding.

Validate NAND-based SSD firmware and systems by creating test strategies, plans, cases, and automated frameworks. Test NVMe, PCIe, OCP Cloud SSD, performance, reliability, interoperability, endurance, and customer requirements. Debug issues with cross-functional engineering teams, analyze failures, track defects, support customer qualification, and drive root-cause resolution. Apply Python, AI-assisted tools, and data-driven techniques to improve validation coverage, efficiency, and product quality.

Validate firmware for enterprise and datacenter NVMe SSDs by defining test plans, designing test cases, developing Python test scripts, and integrating automated tests. Debug NVMe and PCIe protocol issues, execute whitebox and greybox testing, track defects and validation results, collaborate with firmware and product teams, validate fixes, communicate project status, and manage multiple validation initiatives with limited direction.

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.

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.

Leads enterprise SRE and AIOps initiatives across large-scale applications. Designs, codes, tests, documents, and automates resilient cloud-native systems; establishes observability, monitoring, SLO/SLI, and incident-management practices. Develops self-healing capabilities using AI/ML, improves availability and recovery time, supports critical incidents, conducts postmortems and root-cause analysis, and mentors engineers. Partners with application teams to advance SRE adoption, tooling, automation, and reliability across a multi-cloud environment.

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, 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.

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.

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.

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.