Top Linux Jobs in Hyderabad

Design, develop, test, deploy, and operate scalable production software for content intelligence, metadata, classification, and data governance. Own backend services and significant features from design through production using C#/.NET, Linux, Kubernetes, databases, and web technologies. Diagnose performance and reliability issues, contribute to React-based experiences, optimize high-volume data systems, and support strong engineering practices within a growing Hyderabad team.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage P1/P2 incidents; troubleshoot Java Spring Boot microservices, deployments, APIs, and Kubernetes environments; analyze logs, traces, and metrics; perform root cause analysis; coordinate escalations; document incidents; and improve monitoring and alerting processes.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage and troubleshoot P1/P2 incidents; perform root cause analysis; investigate Java, Spring Boot, REST API, deployment, and performance issues; coordinate escalations; document incidents; communicate status updates; and improve monitoring, alerting, and operational processes.

Supports IT operations across Linux and Windows systems in lab, data center, and cloud environments. Provides rotational on-call support, incident and problem management, monitoring, troubleshooting, root-cause analysis, and SLA compliance. Implements automation, AI-enabled tools, scalable process improvements, and infrastructure solutions using cloud, containerization, CI/CD, and monitoring technologies. The role is open to fresh graduates.

Leads software engineering and application production support initiatives in a 16/7 environment. Responsibilities include designing, coding, testing, deployments, incident response, root-cause analysis, monitoring, observability, reliability improvements, automation, change coordination, business continuity planning, and post-incident reviews. The role partners with development, infrastructure, and architecture teams to improve application availability, supportability, and operational processes, while serving as an escalation point and guiding less experienced staff.

Provide hands-on technical leadership for scalable distributed services that discover, classify, govern, and activate enterprise unstructured data. Design and implement C#/.NET systems across Linux, Kubernetes, PostgreSQL, and ClickHouse; lead architecture, integration, performance, reliability, observability, and production troubleshooting. Guide engineers without formal management authority while contributing directly to code, reviews, prototypes, and technical decisions.

Develop and support embedded and interface software for semiconductor manufacturing equipment. Work across bare-metal and Linux environments using C, C++, and Python to interface with custom hardware and microcontrollers. Collaborate with software, electrical, controls, and mechanical engineers on equipment design, PCB and schematic review, circuit prototyping, debugging, testing, documentation, and system integration. Support existing equipment and use laboratory instruments for design bring-up and characterization.

Develops and supports infrastructure solutions within a cybersecurity and technology controls team. Responsibilities include testing infrastructure performance, validating requirements, analyzing monitoring data, considering system dependencies, escalating issues, and using approved AI tools for infrastructure analysis and documentation. Requires infrastructure engineering knowledge, programming experience, software development lifecycle familiarity, CI/CD, testing frameworks, and public cloud experience. Linux, Windows, and ticketing-system experience are preferred.

Build, deploy, and operate production backend and cloud services using Go, Python, AWS, and Terraform. Design event-driven and serverless systems, telemetry and analytics pipelines, and secure infrastructure. Own features through release, monitoring, incident response, and root-cause prevention. Improve CI/CD, observability, runbooks, and on-call practices while collaborating across global teams. Provide code reviews, technical guidance, and cross-functional support for enterprise data and cloud platforms.

Leads enterprise-scale site reliability and problem management activities, including root cause analysis, incident reviews, resilience assessments, corrective-action validation, and reliability governance. Defines SLOs, SLIs, error budgets, observability practices, and resilience patterns. Drives AI-assisted incident analysis and reliability workflows while governing explainability, security, auditability, and data handling. Influences senior engineering stakeholders and translates complex technical findings into executive-ready recommendations.

Plans and executes analog and mixed-signal verification at block, subsystem, and full-chip levels. Develops simulation environments, models, verification plans, regression automation, and AI-assisted engineering workflows. Performs electrical rule checks, power and reliability simulations, waveform analysis, and complex failure debugging. Collaborates across design, firmware, product engineering, test, and manufacturing teams to improve quality, reliability, cost, and time to market.

As a Senior CAD Engineer, you will improve EDA tools, support memory layout teams, and develop methodologies for automation and reliability in layout workflows.

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

Leads the design, development, testing, integration, and deployment of complex cloud products and platforms. Designs scalable cloud subsystems, reviews code and test plans, resolves application, system, and network issues, and integrates new technologies. Provides technical guidance, represents engineering teams in technical forums, mentors junior developers, and contributes to cloud-native architectures using distributed systems, microservices, containers, and Kubernetes.

Leads enterprise network infrastructure operations in a global 24x7 environment. Manages incidents, problems, changes, P1 technical bridges, vendor and customer relationships, lifecycle management, risk controls, and service evolution. Troubleshoots complex mission-critical network issues, provides escalation support, maintains documentation, and improves operational efficiency through automation, scripting, and validated AI-assisted workflows.

Designs and develops testing and automation strategies for HPE’s hybrid cloud platform. Builds automation throughout the product lifecycle, executes quality-improvement testing, validates customer expectations, collaborates with development teams and stakeholders, and maintains production reliability and performance. Requires strong Java and Python skills, Linux/UNIX expertise, debugging abilities, and knowledge of file systems, networking, or distributed storage and computing systems.

Design and automate CMOS electrical test structures through physical layout, floor planning, placement, wiring, and DRC verification. Develop scalable P-cells and SKILL/SKILL++ automation across technology nodes, enhance EDA and CAD flows using Python and AI-based solutions, and collaborate with global engineering teams. The role also involves process improvement, technical mentoring, and contributing to patents and research publications.

Lead system and functional testing for distributed cloud and hybrid file-data services. Architect Python and PyTest automation infrastructure, validate performance, scalability, and reliability, analyze complex system issues, and champion testability and quality practices. Serve as a testing subject matter expert, mentor engineers, collaborate across product and engineering teams, and lead complex test initiatives with minimal supervision.

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.

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, automate, and operate highly available cloud infrastructure on GCP and Azure using IaC (Terraform/ARM). Own CI/CD/GitOps pipelines, monitoring, incident response, vulnerability and secrets management, and drive reliability, performance, and DevSecOps practices across teams.