Top Linux Jobs in Bengaluru

Leads DevOps, SRE, DevSecOps, and platform reliability across Azure and AWS. Owns Kubernetes infrastructure, CI/CD, GitOps, databases, observability, security, distributed systems, incident response, disaster recovery, and FinOps. Builds and mentors engineering teams while improving availability, deployment safety, MTTR, DORA metrics, compliance, and cloud cost efficiency. This hands-on leadership role requires deep cloud-native, infrastructure, automation, and production troubleshooting expertise.

Build and operate secure, reliable cloud-native deployments for a healthcare SaaS platform. Own CI/CD pipelines, GitOps workflows, Kubernetes deployments, Azure infrastructure, infrastructure-as-code, observability, database operations, security automation, and cloud cost optimization. Troubleshoot production systems, participate in on-call rotations, improve deployment and recovery processes, and reduce operational toil through automation.

Provide L2 technical support for Pramana's products, manage escalations, ensure compliance, and deliver high-quality customer service, including emergency on-call coverage.

Architects and operates scalable cloud and on-premise infrastructure, CI/CD pipelines, Kubernetes platforms, and infrastructure-as-code workflows. The role focuses on automation, system availability, security, performance, incident response, troubleshooting, monitoring, and operational efficiency. The engineer collaborates across engineering, security, and product teams, prototypes emerging technologies, supports production systems, and drives root-cause analysis and continuous improvement.

Build and manage observability solutions using Datadog and Splunk across applications, cloud infrastructure, APIs, and Kubernetes. Develop dashboards, alerts, reports, SPL queries, and distributed tracing capabilities. Troubleshoot production incidents, conduct root cause analysis, and improve system reliability in collaboration with DevOps, SRE, application, and infrastructure teams. Automate monitoring tasks using Python, Bash, and Terraform.

Administer and automate Linux-based cloud infrastructure across Azure and/or GCP. Responsibilities include provisioning resources, managing Kubernetes, maintaining CI/CD pipelines, writing infrastructure as code and Bash automation, monitoring systems, troubleshooting production issues, supporting security compliance, and documenting operational procedures. The role requires an active Azure or GCP certification matching hands-on experience and at least three weekly days in the Bangalore office.

Lead software development using modern C++ in Linux environments. Design, develop, debug, and maintain multi-module, multithreaded applications with networking capabilities. Manage builds and dependencies using CMake and Conan, collaborate through Git and Bitbucket, and work within Agile/Scrum processes using Jira and Confluence. The role requires strong technical documentation, peer reviews, and a minimum 12-month project commitment.

Maintain client relationships and technical support throughout the build, deployment, and ongoing lifecycle. Administer Linux systems, Kubernetes, Docker, AWS environments, CI/CD pipelines, and distributed applications. Troubleshoot Java servers, Nginx, APIs, storage, and infrastructure incidents. Create technical documentation, manage tickets, resolve problems promptly, and collaborate with teams while adapting to evolving technologies.

Entry-level software engineers will design, build, test, debug, and maintain applications while supporting frontend and backend development. Responsibilities include writing code in Java, Python, JavaScript, or C/C++, working with SQL databases, translating business requirements into technical solutions, participating in code reviews, and troubleshooting issues. Candidates should understand programming fundamentals, data structures, algorithms, web technologies, Git, and operating systems.

Designs, builds, and operates secure, scalable cloud infrastructure and Kubernetes platforms for AI products and enterprise applications. Responsibilities include cloud architecture, networking, Terraform automation, container platforms, observability, security, disaster recovery, CI/CD enablement, developer self-service, and cost optimization. The role also supports AI infrastructure such as GPU workloads, RAG systems, vector databases, and LLM services while partnering with Engineering, AI, and Product teams.

Develop and maintain C++ automated regression testing solutions, frameworks, reusable components, scripts, and test cases. Automate functional, integration, system, and regression testing; analyze failures and logs; integrate suites into CI/CD pipelines; improve test coverage and execution efficiency; and collaborate with development and QA teams in an Agile environment.

Build, ship, and operate large-scale distributed systems for multi-cloud networking. Own products from concept through production, develop Java/Spring and Go microservices, design APIs and databases, deploy with Kubernetes, handle on-call support, and resolve customer issues. The role requires strong computer science fundamentals, Linux and security expertise, AI-assisted development practices, and collaboration across distributed teams. Networking experience with BGP, SD-WAN, overlays, or cloud networking is advantageous.

Provides first-level support for Linux servers and cloud infrastructure. Performs basic administration, virtual machine operations, monitoring, troubleshooting, networking checks, log review, backups verification, access management, and documentation. Escalates complex issues and supports application and infrastructure teams with deployments and environment-related problems. The role is intended for entry-level candidates with foundational Linux, networking, cloud, and scripting knowledge, including freshers with lab or personal project experience.

Lead cloud infrastructure, DevOps automation, CI/CD, Infrastructure as Code, reliability, security, and operational excellence for CrashPlan’s Azure-based platform. Responsibilities include managing highly available systems, incident response, monitoring, vulnerability management, compliance, deployment automation, and mentoring engineers in a 24x7 production environment.

Develop and maintain custom ERPNext and Frappe applications, including DocTypes, workflows, reports, dashboards, print formats, integrations, and APIs. Diagnose bugs, improve performance, maintain existing customizations, and manage deployments through Git and staging environments. Use and review AI-generated code for implementation, debugging, testing, refactoring, security, and maintainability. Communicate progress and clarify requirements while supporting ERPNext workflows and related infrastructure.

Own and operate large-scale Elasticsearch production clusters, serving as the L3 escalation point for performance, stability, ingestion, JVM, shard, and infrastructure issues. Deploy and manage Elastic on Kubernetes and cloud or on-premises platforms, optimize Linux systems, integrate observability pipelines, perform root-cause analysis, and implement permanent fixes. The role also establishes operational standards, mentors engineers, collaborates with customers and Elastic support, and provides architectural recommendations.

Lead end-to-end architecture for scalable Java systems, design REST APIs and Spring Batch workflows, integrate DevOps practices, optimize performance and RPM packaging, and guide adoption of emerging technologies. Mentor development teams on architecture, code quality, and Spring practices while ensuring secure, reliable, cross-platform enterprise applications.

Lead the architecture and implementation of scalable Python automation ecosystems across IT services. Design automation frameworks, integrate GenAI and Agentic AI, establish Linux and DevOps best practices, and implement cloud-native platform engineering solutions. Build observability and monitoring systems, support CI/CD pipelines, mentor engineering teams, conduct technical reviews, and guide architectural decisions for secure, reliable, and highly available systems.

Administer and secure Linux-based infrastructure, servers, networks, CI/CD systems, databases, backups, and remote access. Automate provisioning and maintenance using Bash, Python, and Ansible; monitor uptime; document configurations; coordinate IT vendors and engineering teams; support a second office and customer field deployments; and participate in on-call incident response.

Own production infrastructure for a student-recruitment platform, including resilience, backups, zero-downtime CI/CD, monitoring, incident response, security, disaster recovery, cost management, and documentation. Operate Linux infrastructure across Linode and DigitalOcean with Cloudflare, MongoDB, Docker, and Node.js applications. Establish recovery objectives, conduct restore drills, manage secrets and access controls, remediate audits, and support UK GDPR alignment. This remote role is based in India and requires independent ownership of infrastructure operations.

Lead infrastructure initiatives by designing secure GitOps workflows, managing Kubernetes across cloud and on-premises environments, implementing advanced deployment strategies, administering Linux systems and databases, and maintaining infrastructure-as-code and CI/CD operations. The role includes air-gapped deployments, service mesh management, networking, security controls, high availability, and expert troubleshooting of distributed systems.

Design, deploy, and administer scalable AWS cloud architectures using services such as EC2, S3, Lambda, and CloudFormation. Provide technical support, monitor performance, resolve bottlenecks, secure cloud environments, and migrate operations and data to the cloud. Build and test architectures, manage Linux virtual machines in multi-tenant environments, recommend technology solutions, and ensure compliance, privacy, and cost efficiency.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Develop and optimize astrodynamics algorithms for space situational awareness, including orbit determination, propagation, conjunction analysis, and orbital prediction. Improve scalable, production-grade software and support system integration, testing, deployment, and operations. Research advanced numerical, AI, machine learning, and cloud-based techniques; collaborate across engineering, data science, operations, and product teams; mentor junior staff; and contribute to technical documentation, proposals, publications, and intellectual property.

Lead development and optimization of astrodynamics algorithms for orbit determination, propagation, conjunction analysis, and prediction. Design, validate, and operationalize scalable, efficient SSA software; research ML/AI and numerical methods; mentor junior engineers; collaborate across software, data science, operations, and product teams; contribute to documentation, proposals, and publications.