Top Linux Jobs in Bangalore

Maintain reliability and performance of PhonePe infrastructure by administering Linux/Unix systems, networking (IP, iptables, IPsec), MySQL/MariaDB databases, automation with SaltStack, participating in on-call rotations, scripting (Perl/Python/Golang), and operating private cloud and data-center resources.

Provides Tier 3/Tier 4 escalation support for enterprise Microsoft infrastructure, resolving complex incidents across Active Directory, Exchange, SCCM, SQL Server, SharePoint, Windows Server, virtualization, and backup platforms. Manages patching, clustering, recovery, automation, problem management, and infrastructure maintenance. Supports clients, leads major incident resolution, maintains knowledge articles, mentors lower-tier staff, follows ITIL processes, and participates in a 24x7 on-call rotation.

Work with senior engineers to build and automate infrastructure: maintain CI/CD pipelines, manage cloud resources with IaC, containerize and deploy services to Kubernetes, build monitoring and alerting, automate with scripts, and participate in incident response and documentation.

Lead full lifecycle development of L2/L3 embedded RAN protocol stack: design, code, unit test, debug, and integrate features for LTE/NR products. Focus on MAC/RLC expertise, Linux/C/C++ development, log analysis, debugging tools, and applying AI/ML to RAN optimization. Support product releases and customer deployments globally.

Lead development of scalable Control Plane software for enterprise networking and analytics. Build and mentor an engineering team, drive architecture and distributed-systems design, partner with product, promote CI/CD and AI-assisted engineering, and engage customers to improve deployments and product outcomes.

Develop and enhance full-stack automation and internal developer tools, build and maintain CI/CD pipelines, write scripts and IaC, support monitoring and observability, participate in code reviews and agile ceremonies, and collaborate onsite to deliver reliable software.

Lead design and implementation of UI and API automation using Selenium/Playwright with Java. Define QA strategy, test plans, and automation standards; integrate frameworks with CI/CD (Jenkins, Docker, Maven). Drive TDD/BDD practices (Gherkin, Cucumber), perform debugging/root-cause analysis, review test artifacts, and collaborate with Dev, Product, and DevOps teams.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

Design, implement, and own integrations between enterprise storage (FlashArray/FlashBlade) and virtualization/container platforms (Kubernetes/OpenShift, OpenStack, Nutanix). Architect scalable features, write production-grade code and test automation, troubleshoot distributed system issues, and collaborate globally to deliver reliable storage mobility and provisioning for mission-critical workloads.

Lead and coordinate customer Gateway deployments and upgrades, validate infrastructure readiness (network, compute, storage), perform end-to-end connectivity testing across Skan components, transition customers from POC to production, document architectures and configurations, and collaborate with Deployment and customer teams to ensure operational stability.

Manage and optimize high-volume PostgreSQL databases across self-managed and cloud environments: performance tuning, replication/HA, backups, sharding/partitioning, schema migrations (Alembic), and production troubleshooting.

Maintain and monitor infrastructure availability for Skan components (VA, Cloud, Gateway); serve as first technical contact for customer incidents; manage incident lifecycle and RCAs; build automation, alerts, and documentation; troubleshoot performance, networking, containers, cloud platforms, and databases.

Lead platform reliability, modernization, and runtime engineering for Mainframe and distributed systems. Diagnose and resolve production incidents, design automation and observability, implement SRE practices, support hybrid mainframe-cloud architectures, and collaborate with engineering, product and operations to improve resiliency, performance, and operational efficiency.

Design and execute manual and automated tests (Playwright) for UI and APIs. Create test cases, run functional/regression/smoke suites, log and track defects (Jira), collaborate with developers, maintain automation, and perform basic performance testing using JMeter where applicable.

Design, build, and operate scalable front-end and back-end components in a microservices architecture. Own software lifecycle, drive automation (CI/CD), mentor engineers, collaborate with global teams, improve performance, security, and reliability, and evaluate emerging technologies to enhance product value.

Design, develop, test, and maintain scalable, secure back-end microservices using Java/Spring. Collaborate with cross-functional teams, write unit-tested code, participate in agile ceremonies, troubleshoot issues, and deliver features on schedule.

Owns global compute, virtualization, storage, backup, Windows, Linux, and Azure infrastructure. Leads architecture, standards, capacity planning, patching, security, observability, automation, incident escalation, technical projects, vendor coordination, documentation, and cost optimization. Provides mentoring and participates in a 24x7x365 on-call rotation.

Administer and support MapR/Hadoop clusters: monitor and troubleshoot jobs and performance, perform Linux administration and scripting, capacity planning for HDFS/YARN/Hive/HBase, manage incidents/changes, and provide 24x7 production support and automation.

The Data Engineer will lead development projects, manage ETL processes, and collaborate with teams to enhance data strategies while ensuring seamless technology integration across the organization.

Lead test environment and test-data efforts for complex distributed systems. Build/maintain production-like non-PROD environments, implement data masking (Delphix), provision and validate test data (SQL/Oracle/MSSQL), support CI/CD, monitor environment health, and enable end-to-end testing across middleware and microservices.

Lead QA efforts to design, build and manage production-like non-PROD environments, provision and mask test data, enable end-to-end testing across distributed microservices, monitor environment health, and support CI/CD pipelines while ensuring compliance and data traceability.

Lead engineering efforts to ensure reliability, resiliency, performance, and modernization of Mainframe and distributed platforms. Provide hands-on support, incident resolution, automation, SRE practices, observability, and platform roadmap execution. Partner with product, infrastructure, and engineering teams to implement hybrid mainframe-cloud architectures, CI/CD, security controls, and continuous improvement initiatives.

The Agile Test Automation Engineer oversees quality control testing, develops automated tests, collaborates with teams, and ensures software quality across the technology lifecycle.

Manage and maintain large-scale distributed big-data infrastructure ensuring reliability, scalability, and security. Automate provisioning, scaling, upgrades and monitoring; lead incident response and postmortems; troubleshoot production issues; implement SRE best practices; collaborate with teams for performance tuning, capacity planning and architecture reviews; develop automation and observability tooling to reduce manual effort and improve system resilience.

Maintain reliability and performance of PhonePe services by administering Linux/Unix systems, networking (IP, iptables, IPsec), databases (MySQL), automation (SaltStack), scripting (Perl/Python/Golang), private cloud and virtualization (KVM/QEMU), participate in on-call rotations, implement best practices for always-available services, and work with container orchestration, NoSQL (Aerospike) and Galera cluster operations.