Top DevOps Jobs in Bangalore

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

This role involves architecting automation solutions, analyzing technical challenges, providing engineering support, and maintaining customer focus in hybrid IT environments.

Lead architecture, design, and delivery of object/file/cloud storage products; provide end-to-end technical leadership, mentor teams, drive performance and quality, and influence technology roadmap and standards.

The role involves designing and implementing CI/CD pipelines, optimizing ML and GenAI models, and collaborating with RPA teams to enhance automation solutions.

Lead architecture and end-to-end development of object/cloud storage products. Drive technical strategy, mentor teams, ensure performance and quality, influence roadmaps, and deliver V1 products for modern AI and cloud use cases.

The Senior Software Engineer - Staff leads design and development for complex software systems, manages relationships with partners, mentors staff, and drives innovation in projects.

The Systems/Software Engineer designs and develops software enhancements, performs debugging, and collaborates with internal teams and partners to produce reliable and high-quality solutions.

Lead software development projects, manage architecture integration, mentor engineers, and drive innovations in networking technologies like multicast systems and ASIC design.

Lead and mentor in designing reliable systems, evaluate technologies, ensure compliance with standards, and develop solutions for complex problems.

The role involves leading technology innovations, developing methodologies for software systems, and guiding teams to align technology initiatives with business goals. Key responsibilities include technical leadership, collaboration with executive leadership, and mentoring teams to drive innovation.

Develop and support systems software, focusing on OS internals, multitasking, and memory management. Collaborate with teams to deliver high-quality software solutions.

The Software Engineer II designs, develops, and troubleshoots software for networking products, focusing on operating systems and databases while collaborating within a project team to deliver reliable solutions.

Designs and develops software for cloud systems, leads project teams, reviews compliance and quality, drives innovation in technology integration and supports team mentorship.

Lead the design of AI-driven storage solutions, collaborate with stakeholders, mentor teams, and drive technological innovation while ensuring integration with enterprise systems.

Design, develop, and maintain automated test frameworks and scripts (Python, Selenium, CLI, REST) for SD-WAN products. Build and maintain testbeds, run regression tests, debug failures, file bugs, and collaborate with developers, QA systems, and DevOps to improve software quality and internal tools.

As a Software Engineer, you will enhance and maintain backend infrastructure, develop data pipelines, and optimize performance for Apstra's analytics systems.

Design, lead, and mentor development of scalable, secure cloud-based SaaS solutions. Evaluate and integrate new technologies, review designs for compliance with standards, troubleshoot complex system issues, and provide technical leadership across projects. Communicate architecture and design decisions to stakeholders and drive improvements in reliability and time-to-market.

Design and develop carrier-grade control-path networking software for routers and switches. Implement and debug high-performance multi-core networking code, integrate with Linux/Unix internals (kernel, sockets, IPC, memory), refactor legacy systems to microservices, collaborate cross-functionally, and ensure robust cloud/container integration and automation.

Lead design and development of platform and system software for cloud-ready routing products running Junos Evolved. Drive solution architecture, coding, testing, integration, partner management, design reviews, mentoring, and introduce new technologies to ensure high performance, scalability, fault tolerance, and high availability.

Design, develop, and maintain features for the Junos Evolved network OS. Implement and debug Linux device drivers and system bring-up for Platform/Interfaces/Optics. Troubleshoot platform, interface, and optics issues, collaborate with hardware, QA and cross-functional teams, lead code reviews, architecture discussions, and documentation to deliver resilient, high-performance networking solutions.

Design and build scalable automation frameworks and AI-driven QA solutions. Develop and run system-level tests for storage, OS, and networking. Create log parsing and data collection tools, integrate automation into CI/CD, collaborate with development teams to triage defects, and drive AI-assisted testing improvements.

Design and implement low-level, high-performance software for networking hardware. Develop device drivers, work with firmware and hardware interfaces, debug complex issues, and contribute to distributed, fault-tolerant system design. Collaborate closely with cross-functional teams, produce technical documentation, and apply strong C/C++ and data-structure fundamentals to build resilient systems.

Design, develop, and maintain scalable distributed storage system components for HPC and AI workloads. Debug cross-layer issues, collaborate with hardware/network teams, ensure secure SDLC compliance, support validation/releases, and produce technical documentation and code reviews.

Develop, operate, and maintain engineering tools, CI/CD pipelines, and automation to support the software development lifecycle. Integrate workflows across GitHub, Jenkins, and Atlassian tools, troubleshoot pipeline issues, follow enterprise security/compliance standards, document procedures, and mentor junior staff.

Lead end-to-end quality engineering for enterprise storage platforms: build Python-based automation frameworks, perform system-level debugging and root-cause analysis, apply AI/ML for failure analysis and test optimization, drive performance/reliability testing, develop observability tools, and mentor engineering teams to improve product quality.