Top Linux Jobs in Hyderabad

Leads a globally distributed systems engineering team responsible for scalable, highly available Kubernetes infrastructure. Oversees planning, hiring, performance, technical direction, architecture reviews, production reliability, incident response, risk management, and cloud-native automation. Collaborates across regions and engineering teams to deliver complex platform initiatives, improve operational practices, and develop infrastructure tooling using Kubernetes, Terraform, Argo CD, Crossplane, and related technologies.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).

Lead CAD engineer supporting memory layout teams: develop and deploy EDA automation, AI-assisted layout flows, debug physical verification issues, improve productivity, mentor juniors, and evaluate new tools to accelerate reliable CMOS layout delivery.

The CAD Senior Engineer will develop simulation flows, optimize complex circuits, implement AI-assisted workflows, and lead junior engineers in improving productivity and reducing failures.

Leads systems operations and production support for applications and infrastructure. Responsibilities include incident and problem management, batch monitoring, application health checks, production issue resolution, SLA adherence, release coordination, vendor collaboration, knowledge management, trend analysis, and business continuity/disaster recovery activities. The role also guides teams during major incidents and improves system efficiency through automation and proactive remediation.

Monitor and troubleshoot cloud infrastructure issues across systems, networking, storage, virtual machines, and containers. Maintain high availability, automate operational processes, build efficiency tools, coordinate cross-team operational work, and support incident management for global infrastructure. The role may include weekend work and requires strong documentation, communication, and problem-solving skills.

Monitor and improve the reliability, availability, and performance of critical applications and platforms. Respond to incidents, maintain observability dashboards and runbooks, automate operational tasks, support root cause analysis and postmortems, and help implement SRE practices such as SLIs, SLOs, SLAs, and error budgets. Collaborate with engineering, cloud, infrastructure, and application teams across hybrid cloud and containerized environments.

Design, develop, and debug embedded software (bare-metal to embedded Linux) for custom semiconductor test equipment. Lead and supervise a local software team, collaborate with electrical, mechanical, and control engineers, support manufacturing and field service, and perform hands-on lab work and equipment interfacing. Integrate AI-assisted tools to improve workflows.

Lead and grow a team building Kubernetes observability integrations: oversee Go/Python data collectors, scalable backend services, UI dashboards, and K8s SRE agents; drive technical strategy (OpenTelemetry), ensure end-to-end delivery from agents and Helm charts to frontend, manage incident response and support rotations, and advocate open-source contributions.

Leads the design, development, and operation of resilient cloud-native platform services. Responsibilities include Kubernetes and OpenShift engineering, Infrastructure as Code, CI/CD and GitOps, observability, reliability, security, cost optimization, incident response, automation, and production support. The role also mentors engineers, reviews code, establishes platform standards, and influences technical direction for developer experience and operational excellence.

Lead reliability, scalability, observability, automation, infrastructure, disaster recovery, and security initiatives for Crunchyroll’s cloud-native data platforms. Establish SRE practices including SLIs, SLOs, error budgets, incident management, and postmortems. Operate Kubernetes and GCP environments, implement Infrastructure as Code, optimize capacity and performance, and drive vulnerability remediation, penetration-testing support, and cloud platform security.

Develop and maintain scalable Python test automation frameworks for cloud security products. Collaborate with engineering teams, test software at scale, troubleshoot complex production customer issues, and provide debugging insights. Integrate automated test APIs into Jenkins and GitLab CI/CD pipelines while building tools that improve testing workflows and engineering productivity. The role also involves diagnosing networking, cloud infrastructure, HTTP/HTTPS, and TLS issues.

Supports reliability, availability, and performance of critical applications and platforms. Responsibilities include monitoring, incident response, observability, runbook maintenance, scripting and automation, root cause follow-up, postmortems, SLO and SLI adoption, alert improvement, and operational readiness. Collaborates with engineering, cloud, infrastructure, and application teams while using tools such as Kubernetes, Azure, dashboards, logs, and AI-assisted investigation systems.

Leads and develops a distributed software engineering team responsible for a customer-deployed virtual appliance. Owns engineering execution, architecture guidance, roadmap delivery, Scrum practices, reliability, incident response, vulnerability remediation, hiring, and team development. Requires technical fluency in Linux, virtualization, containers, customer-installed software, SaaS connectivity, and AI/LLM tools, while partnering closely with Product Management and cross-functional engineering teams.

The Sr. Observability Engineer at Micron will manage and support monitoring tools, ensure system reliability, perform incident resolution, and maintain performance standards.

Perform software verification and validation for aerospace platform components, including boot software, hardware abstraction layers, I/O drivers, and compiler abstraction layers. Develop test plans, conduct impact analysis, execute requirements- and scenario-based testing, resolve technical issues, and support audits. Lead technical initiatives, mentor engineers, manage stakeholders, and drive quality improvements using C++, RTOS environments, emulators, debuggers, and verification tools.

Design, develop, test, deploy, and operate production backend services and APIs using Go, Python, AWS, and Terraform. Build event-driven cloud systems, telemetry and analytics pipelines, and secure infrastructure. Own features through monitoring and incident resolution, investigate customer escalations, improve CI/CD and observability, and perform root-cause analysis. Collaborate across global teams, contribute to on-call practices, review code, guide engineers, and improve reliability and operational automation.

Lead design, implementation, optimization, and maintenance of performance-critical data-path components. Improve concurrency, throughput, latency, scalability, and reliability; diagnose complex defects and escalations; partner with QA and Performance Engineering; define test strategies; influence architecture, coding standards, and cross-team engineering practices.

The Senior Performance Engineer will architect performance automation frameworks, conduct tests, mentor engineers, and analyze system performance in cloud environments.

Responsible for managing enterprise Unix/Linux solutions, supporting OpenShift environments, ensuring compliance, and automating tasks using scripting languages. Collaborates cross-functionally and enhances system performance and reliability.

Develop and deploy digital twins, multiphysics and structural models, and physics-informed AI to predict and optimize semiconductor process-structure-performance interactions. Apply computational materials science, ML, GenAI/LLMs, and sparse-data methods to accelerate technology development, yield, and reliability. Collaborate with global engineering teams to translate modeling insights into fab-technology co-optimization.

Provide customer-facing technical support and act as final escalation for complex issues across full-stack systems. Troubleshoot and maintain data-driven applications, databases, web services, networking, and integration technologies. Lead technical investigations, support implementations, mentor junior staff, document knowledge, and participate in on-call rotations while working closely with product and engineering teams.

Lead the design, automation, and operation of CI/CD pipelines and cloud infrastructure across development, QA, and production environments. Manage AWS and on-premises resources using infrastructure as code, improve reliability and availability, optimize costs, enforce security practices, troubleshoot platform issues, and support development and QA teams. The role also includes documentation, training, capacity planning, cross-functional collaboration, and participation in 24/7/365 operational rotations.

Designs and manages production-grade CI/CD pipelines, automates infrastructure with Terraform and Helm, and operates Kubernetes workloads on GCP. The role owns deployment strategy, DevSecOps integration, secrets management, monitoring, alerting, scaling, and resilience. It also establishes engineering workflows, reviews automation, documents processes, ensures deployment quality, and mentors junior DevOps engineers.

Leads enterprise storage and backup infrastructure management across SAN, NAS, replication, recovery, and disaster recovery environments. Designs, administers, migrates, and modernizes large-scale platforms; manages Cisco SAN fabrics, NetWorker, NetBackup, and Data Domain. Serves as an L3/L4 escalation point, conducts root cause analysis, leads incident resolution, develops standards and runbooks, supports governance, and mentors engineering teams in 24x7 mission-critical environments.