Site Reliability, Staff-18277

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Synopsys Site Reliability, Staff-18277

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We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

Synopsys is expanding Synopsys.ai alongside traditional EDA engineering compute for semiconductor customers in Korea and across the APAC region. We are looking for an experienced Unix/Linux infrastructure professional to keep these platforms reliable, secure, scalable, and operable in Synopsys sites and major customer environments, including customer-hosted, air-gapped, high-security, and multi-tenant on-premises deployments.

You will join the regional EDA Engineering Compute / platform operations team working with global IT, AE engineering, product, security, network, and infrastructure teams. Your work directly enables R&D and customer engineering teams to run EDA and GenAI workloads, from HPC batch grids through containerized AI gateways, vector data services, and agent/MCP-based tool execution on engineering compute platforms.

The successful candidate will support Synopsys Korea engineering compute and data center services and contribute to regional infrastructure initiatives. The role will also support deployment and day-2 operations of secure multi-tenant infrastructure, OpenStack-based private cloud environments, and container platforms used by internal teams and semiconductor customers.

What You'll Be Doing

Improves availability, operability, performance, and utilization of business-critical EDA and Synopsys.ai infrastructure in Vietnam.
Supports secure multi-tenant platforms that isolate compute, network, storage, identity, and access between customers, projects, or business environments.
Reduces operational risk for customer-hosted and air-gapped deployments through strong runbooks, monitoring, automation, incident response, and lifecycle management.
Connects HPC schedulers, shared storage, GPU compute, private cloud infrastructure, container platforms, and platform gateways so Synopsys services run predictably at scale.
Improves deployment speed and configuration consistency through repeatable OpenStack infrastructure automation and configuration management.
Extends APAC shared-support coverage and technical capability across Vietnam, Japan, Korea, Taiwan, China, and other regional locations.

The Impact You Will Have

Engineering Compute and Data Center

Maintain Synopsys Korea engineering compute and data center environments in accordance with corporate IT, data center, security, and operational standards.
Support server hardware lifecycle activities, including installation, provisioning, maintenance, upgrade planning, retirement, and decommissioning.
Perform capacity planning, performance troubleshooting, hardware coordination, and vendor or customer coordination at Synopsys and customer sites.
Operate and troubleshoot Linux-based EDA compute environments, including virtualization, engineering resource management, job schedulers, license connectivity, shared storage, and remote access services.
Run HPC operations, including cluster health, scheduler integration using LSF, Slurm, or similar platforms, InfiniBand where deployed, and performance-related incident handling.
Administer enterprise storage, especially NetApp, NFS, and shared filesystem patterns used by EDA and platform workloads; perform capacity planning, performance troubleshooting, and vendor or customer coordination at customer sites.
Collaborate with corporate network and information security teams on data center connectivity, switching, firewalls, routing, circuits, remote access, and infrastructure security.

Multi-Tenant and OpenStack Platform Operations

Support deployment, administration, monitoring, troubleshooting, upgrade, and day-2 operations of OpenStack-based private cloud environments.
Support secure multi-tenant infrastructure for different customers, projects, or business units, with appropriate separation of compute, network, storage, identity, access, and operational data.
Assist with configuration and troubleshooting of OpenStack services related to compute, networking, storage, images, identity, orchestration, and the management interface.
Support tenant or project provisioning, quotas, images, flavors, virtual networks, security controls, volumes, and access policies according to approved architecture and security standards.
Work with network, storage, and security teams to integrate OpenStack with enterprise network segmentation, shared or tenant-specific storage, authentication services, monitoring, and security controls.
Participate in platform capacity planning, patching, upgrades, backup and recovery planning, incident response, and lifecycle management.
Develop and maintain operational runbooks, validation procedures, troubleshooting guides, and standardized deployment patterns for multi-tenant environments.
Support technical assessment and implementation of regional private cloud and customer isolation requirements, including Japan-related and future APAC initiatives.

Container and Platform Operations

Support Docker-based application and platform environments, including container images, registries, runtime configuration, networking, storage, security, and troubleshooting.
Support deployment and day-2 operations of Kubernetes workloads and clusters in customer-controlled, on-premises, private cloud, and air-gapped environments.
Troubleshoot Kubernetes workloads and platform services, including pods, deployments, services, ingress, configuration, secrets, persistent storage, resource allocation, logging, and connectivity.
Apply Kubernetes namespaces, role-based access control, network policies, storage policies, and other platform controls to support workload and tenant isolation.
Support platform lifecycle activities, including installation, configuration, monitoring, patching, upgrades, backup, recovery, and production incident handling.
Support enterprise Kubernetes distributions or management platforms such as Red Hat OpenShift and Rancher where deployed.
Work with application, product, and engineering teams to distinguish infrastructure, platform, network, storage, and application issues and coordinate effective resolution.

Synopsys.ai Platform Operations

Support deployment and day-2 operations for Synopsys EDA and AI reference patterns in Korea and other supported APAC environments.
Support customer-hosted and air-gapped container environments, API/AI gateways, LLM gateway integration, on-premises inference endpoints, and customer-controlled vector database or GPU compute platforms where applicable.
Partner on installation, upgrade, and configuration of platform components that connect user or agent workflows to the engineering grid, including job services, unified MCP server patterns, and tool execution on LSF or Slurm-backed clusters.
Implement and maintain observability, alerting, authentication and authorization integration, and operational documentation for distributed platform services.
Support customer identity integration using applicable enterprise authentication patterns, including IdP, OIDC, SSO, or OAuth-based integration.
Support agentic AI platform rollouts where components run locally, centrally, in containers, or on the engineering grid.
Escalate architecture and product design questions to global architecture, product, and engineering teams while maintaining ownership of operational implementation and follow-up.

Infrastructure Automation and Operational Improvement

Build and maintain repeatable infrastructure automation for OpenStack resource provisioning, tenant or project creation, network and storage configuration, image management, platform validation, and environment lifecycle operations.
Use OpenStack-native orchestration, configuration management, scripting, APIs, or equivalent automation approaches to reduce manual deployment effort and configuration inconsistency.
Create, review, and maintain reusable templates, playbooks, scripts, configuration definitions, and operational workflows using technologies such as OpenStack Heat, Ansible, Python, shell scripting, or similar tools.
Store automation and configuration definitions in version control and follow appropriate review, documentation, testing, and change management practices.
Automate post-deployment validation, infrastructure health checks, configuration compliance checks, and repeatable operational tasks.
Support integration of infrastructure provisioning with Linux configuration, storage, network, Kubernetes, monitoring, and customer-specific settings.
Own or co-own runbooks, monitoring and alerting policies, and operational automation to reduce repetitive work across the APAC team.
Apply AI-assisted workflows where appropriate to improve troubleshooting, knowledge management, documentation, and routine operations.

Reliability, Incident Response, and Customer Engagement

Participate in a shared on-call rotation covering weekday nights, weekends, and holidays.
Lead or support incident bridges, technical troubleshooting, stakeholder communication, service restoration, and post-incident follow-up.
Produce clear incident reports, investigation notes, runbooks, and operational documentation in English.
Support planned upgrades, break-fix activities, platform deployments, infrastructure validation, and customer training at air-gapped or high-security sites.
Coordinate with customer IT, security, data center, network, storage, and application teams during platform deployment and incident resolution.
Travel within Korea and APAC as required, typically 10 to 20 percent of the time.
Support cross-regional handoffs, documentation sharing, technical reviews, and mentoring of junior team members where applicable.

Who You Are

Technical

Five or more years of experience in Linux system administration, infrastructure engineering, private cloud operations, or production network and storage support.
Strong hands-on Linux administration and troubleshooting experience in production environments.
Enterprise data center experience involving servers, storage, networking, monitoring, security controls, and operational processes.
Hands-on experience with NetApp, NFS, and production storage troubleshooting.
Experience supporting HPC or EDA engineering compute environments, including Linux clusters, workload schedulers such as LSF or Slurm, and production incident support.
Understanding of secure multi-tenant infrastructure and the isolation of resources, networks, storage, identity, access, and operational data between customers or projects.
Practical experience with virtualization, private cloud, or infrastructure platform operations.
Practical experience supporting Docker-based application or platform environments.
Working knowledge of Kubernetes architecture and operations, including workload deployment, service exposure, persistent storage, access control, monitoring, and troubleshooting.
Ability to support GPU-enabled compute and containerized platform services in customer-controlled environments.
Understanding of infrastructure automation and Infrastructure as Code principles, including repeatable provisioning, configuration consistency, version-controlled definitions, reusable automation, and environment validation.
Ability to use infrastructure automation tools, scripts, APIs, configuration management, or orchestration frameworks to provision and maintain infrastructure.
Familiarity with observability platforms and operational telemetry, including logs, metrics, tracing, alerting, and infrastructure health monitoring.
Understanding of secure multi-tier deployments, gateways, authentication and authorization, service-to-service access, and distributed platform troubleshooting.
Ability to troubleshoot issues across Linux, compute, virtualization, network, storage, container, and platform layers.

Competencies

Proven experience with on-call support and major-incident handling.
Clear and structured communication with technical teams, managers, users, vendors, and customer stakeholders.
Strong ownership mindset and a methodical approach to troubleshooting and problem resolution.
Ability to work across local, regional, and global teams and coordinate work across different technical domains.
English proficiency sufficient for global IT collaboration, customer discussions, technical documentation, and incident reporting.
Korean language proficiency for local user support, vendor coordination, data center operations, and customer communication.
Legal authorization to work in Korea.
Willingness to travel for customer-site support at air-gapped or high-security facilities.

Preferred Skills and Experience

Hands-on experience administering, deploying, upgrading, or troubleshooting OpenStack environments.
Experience with OpenStack compute, network, storage, identity, image, orchestration, or dashboard services.
Experience using OpenStack Heat, Ansible, Python, OpenStack APIs, OpenStackSDK, or similar approaches for automated provisioning and lifecycle operations.
Experience designing or supporting multi-tenant private cloud environments for different customers, projects, or business units.
Experience integrating OpenStack with enterprise network segmentation, firewalls, storage platforms, identity services, monitoring, and backup systems.
Kubernetes cluster administration experience in production, on-premises, private cloud, or air-gapped environments.
Experience with Red Hat OpenShift, Rancher, or other enterprise Kubernetes distributions and management platforms.
Experience with Kubernetes workload isolation, namespaces, RBAC, network policies, persistent storage, ingress, monitoring, cluster upgrades, and troubleshooting.
Experience supporting Korea enterprise, semiconductor, fab, design-house, or customer-hosted environments.
EDA toolchain or HPC support experience, including integration of batch schedulers with application, platform, or job services.
Prior exposure to Synopsys.ai, LLM gateways, GenAI platform operations, or agentic AI infrastructure in on-premises or air-gapped environments.
Experience supporting MCP-based tool integration, vector database operations, or containerized AI platform components.
Experience with customer-controlled vector database deployments, including PostgreSQL or pgvector-class environments.
Experience with vLLM or similar on-premises inference serving in restricted environments.
Familiarity with cloud AI service interfaces in customer-hosted architectures.
RHCE or other relevant Linux, infrastructure, cloud, container, network, or storage certifications.

Success in the First 6 Months

Establish trusted working relationships with Korea engineering users, customer IT contacts, regional peers, and global platform support teams.
Demonstrate solid working knowledge of Korea engineering compute, storage, network, and data center environments.
Close recurring operational gaps through improved monitoring, runbooks, documentation, and automation.
Successfully support at least one internal or customer initiative involving a multi-tenant, OpenStack, Kubernetes, or Synopsys.ai platform deployment, upgrade, or production stabilization.
Contribute at least one reusable infrastructure automation, provisioning, validation, or configuration improvement for OpenStack or a related platform.
Demonstrate the ability to troubleshoot issues across Linux, HPC, storage, network, private cloud, and container platform layers.
Participate effectively in the on-call rotation and deliver clear post-incident follow-up in English.
Contribute measurable improvements to platform reliability, deployment consistency, automation, monitoring, or regional operational readiness.

The Team You'll Be Part Of

You will join the regional EDA Engineering Compute and platform operations team, working closely with global IT, application engineering (AE), and product teams. Your work directly enables R&D and customer engineering teams to run EDA and GenAI workloads, from HPC batch grids through containerized AI gateways, vector data services, and agent and MCP-based tool execution on the grid. The team collaborates across APAC, including peers in Japan, Vietnam, Taiwan, and China, and you will partner on in-country deployment and sustainment of platform components for key semiconductor accounts in Korea.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.