Top Linux Jobs in Bangalore

Maintain and improve an on-premises Process Mining application, support customer migrations to the Celonis Platform, increase reliability and security, automate development processes, troubleshoot complex issues, mentor teammates, and contribute to an inclusive engineering culture.

Develop network-centric automation tools and self-service portals: build SPAs, microservices (Python/Golang), gRPC/REST APIs, CI/CD pipelines, IaC, observability integrations, automated tests, and participate in on-call rotations to resolve deployment or tooling outages while collaborating with network engineers.

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.

Design, build, and maintain a large-scale observability and distributed tracing platform using Sentry/OpenTelemetry/Jaeger. Implement end-to-end tracing across microservices, develop Kubernetes operators, apply TDD/CI-CD/chaos practices, participate in on-call rotations, and review peer designs to improve reliability and scalability.

The Principal Software Development Engineer will design and optimize control path features in Cloud Infrastructure, lead technical projects, develop components of a large-scale distributed system, mentor engineers, and focus on AI-powered engineering solutions.

Design, develop, and optimize system-level software on Linux/FreeBSD. Automate infrastructure and monitoring with Python/Shell, create and export VM images across AWS/Azure/GCP, profile performance and troubleshoot bottlenecks, collaborate on distributed architecture, and use Jenkins pipelines for build/test/deploy.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Manage and mentor a validation team, develop validation plans, automate frameworks in Python, run benchmarks and post-silicon characterization, analyse data to find bottlenecks, and collaborate across architecture, RTL, firmware and systems teams to drive product readiness and optimization.

Design, deploy, and operate AI-enhanced network monitoring, anomaly detection, and automated remediation across hyperscale hybrid cloud infrastructure. Integrate telemetry with ML platforms, tune intelligent alerting, collaborate with global NetEng/TechOps, and maintain high-availability network systems and runbooks.

Develop network-centric software and tools to automate workflows and support network infrastructure. Build SPAs, microservices, gRPC/REST APIs, CI/CD pipelines, and observability integrations. Collaborate with engineers, write tests, participate in on-call rotations, and improve deployment and self-service tooling to increase efficiency.

The Experienced Software Engineer leads software project activities, develops and integrates software components, and provides technical leadership in aerospace software systems.

Design, implement, and maintain ELK stack solutions. Develop Logstash pipelines, manage Elasticsearch indices and mappings, create Kibana visualizations, script Python integrations and automations, troubleshoot data collection/indexing issues, and generate reports for analytics and performance management.

The Technical Operations Engineer ensures infrastructure reliability for game services, leads automation efforts, and provides advanced troubleshooting for technical issues in a collaborative, global environment.

Lead critical incident response and deep diagnostics across application, infrastructure, and network layers. Improve observability, reduce alert noise, drive RCA and preventive improvements, and partner with application, platform, and operations teams to improve system reliability at enterprise scale.

Technical Services Engineers solve complex MongoDB issues for customers, advising on architecture and performance while contributing to internal projects and tools.

As a Boomi Support Engineer, you troubleshoot technical issues, optimize integration processes, and ensure customer success through expert problem-solving and collaboration within a global team.

Provide hands-on support to developers by troubleshooting build environments, CI pipelines, networking and security issues; build automation, self-service platforms and tools across Linux, CI/CD, containers, Kubernetes, cloud and data; collaborate with architects, engineers and AWS; deliver reliable, documented solutions that scale across teams.

The role involves designing and implementing network security software in public cloud infrastructure, focusing on firewalls and SWG platforms. Responsibilities include executing technical roadmaps, collaboration with engineering teams, and driving team member development.

The role involves designing and optimizing high-performance networking infrastructure, implementing core protocols, and leveraging AI tools for code performance optimization. Responsibilities include resolving system issues, developing technical specifications, and conducting unit tests to ensure system quality.

Design and implement security software for cloud infrastructure, optimize firewall platforms, and lead team development initiatives.

The Principal Silicon Verification Engineer is responsible for verification activities, communication across teams, verification planning, test generation, and contributing to shared verification infrastructure.

Lead design and operation of a self-managed Enterprise MongoDB platform: set standards, own backups/restore, performance engineering, capacity planning, security hardening, incident leadership, documentation, and mentor junior administrators while partnering with infrastructure and application teams to standardize and automate operations.

The role involves building and maintaining complex database systems, integrating APIs, troubleshooting performance and security in cloud environments, and supporting customer interactions with a focus on MongoDB expertise.

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

Define test plans and develop scripts to validate SSD firmware across functional, system and customer quality tests. Validate NVMe/PCIe/NAND systems, debug protocol issues with analyzers, use tools like Medusa/SanBlaze/Oakgate, integrate tests into automated environments, collaborate with customers and product teams, track results and drive issues to closure. Leverage Python, Windows/Linux debugging, and AI/auto-code tools to accelerate validation.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.