Location: India
Job Overview
We are looking for an experienced
Windows Engineer
to manage and support enterprise Windows Server infrastructure, including Active Directory, DNS, DHCP, Group Policy, patching, virtualization, security, and high-availability environments. The role requires strong troubleshooting and
PowerShell automation
skills, with experience in VMware/Hyper-V and enterprise infrastructure operations.
• Key Responsibilities
• Install, configure, administer, and support Windows Server 2016/2019/2022/2025 environments.
• Manage Active Directory, DNS, DHCP, Group Policy, OU, users, groups, and computer accounts.
• Perform server builds, upgrades, migrations, hardening, and decommissioning.
• Manage Windows patching using tools such as WSUS, MECM/SCCM, or equivalent platforms.
• Troubleshoot OS, application, authentication, networking, performance, and system-level issues.
• Manage Microsoft Failover Clustering, Windows Server roles, and high-availability environments.
• Support VMware / Hyper-V virtualized Windows workloads.
• Perform system performance analysis and capacity optimization.
• Implement and maintain Windows security baselines and hardening standards.
• Troubleshoot authentication issues involving Kerberos, NTLM, LDAP, certificates, and domain connectivity.
• Manage Windows services, scheduled tasks, event logs, registry settings, and system configurations.
• Support backup, restore, disaster recovery, and business continuity activities.
• Automate repetitive administration tasks using PowerShell.
• Monitor infrastructure using enterprise monitoring and logging platforms.
• Participate in incident, problem, change, and request management processes.
• Prepare technical documentation, SOPs, knowledge articles, and infrastructure reports.
• Participate in 24x7 on-call / shift support, where required.
Required Technical Skills
Area Required Skills
Windows Server Windows Server 2016/2019/2022/2025
Active Directory AD DS, OU, Users, Groups, FSMO, Sites & Services
DNS/DHCP DNS zones, records, DHCP scopes, troubleshooting
Group Policy GPO creation, configuration, troubleshooting
PowerShell Scripting, automation, administration
Patching WSUS, SCCM/MECM or equivalent
Virtualization VMware vSphere and/or Microsoft Hyper-V
Security Windows hardening, security baselines, endpoint security
Networking TCP/IP, DNS, DHCP, VLANs, routing basics, firewall concepts
Monitoring Windows monitoring, event logs, performance counters
Backup/DR Backup, restore, replication and DR concepts
ITSM Incident, Problem, Change and Service Request management
Good to Have
• Microsoft Azure / Azure Virtual Machines
• Microsoft Entra ID / hybrid identity
• Microsoft Intune
• Microsoft Defender for Endpoint
• SCCM/MECM administration
• Windows Failover Clustering
• IIS administration
• Certificate Services / PKI
• VMware vCenter and ESXi
• Automation using PowerShell
• Experience with ServiceNow or other ITSM platforms
• Knowledge of enterprise monitoring tools such as SCOM, SolarWinds, Dynatrace, or equivalent
• Experience supporting large-scale data center environments
Развертыванием, настройкой и поддержкой инфраструктуры: ВМ (VMware, SberCloud) и Kubernetes-кластеров (on-prem). Сопровождением веб-окружений: поддержка и оптимизация работы сайтов и проектов на Bitrix (Nginx, PHP-FPM, кеширование, БД), включая внешние облачные панели.
-обеспечивать стабильную работу и оптимизацию инфраструктуры 1С:Предприятие 8.3 во всех контурах (продуктивном, тестовом, разработки), включая администрирование MS Windows Server, SQL Server, IIS и автоматизацию через PowerShell. -управлять пулом виртуальных машин на MS Server 2022 и VMWare, поддерживать их конфигурацию и доступность.
Location: Romania
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: India
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Ищем системного администратора уровня Middle+/Senior для сопровождения и развития IT-инфраструктуры нескольких организаций в сфере здравоохранения и IT. Опыт системного администрирования от 3 лет.
Автоматизация и настройка серверов и приложений внутренней CRM-системы и сайта для застройщика, обеспечение быстрой поставки разработок в продакшен. Обеспечение лёгкости развёртывания и масштабирования приложений.
Location: Salt Lake City, UT
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
About the Role:
As an Intermediate Site Reliability Engineer, you will bridge the gap between development and operations, ensuring our systems are highly reliable, scalable, and efficient. You will be responsible for maintaining the uptime and performance of our systems, applications, automating processes, and implementing best practices in site reliability and system administration. You’ll collaborate closely with cross-functional teams to optimize system architecture and drive operational excellence. You’ll have complete autonomy in making infrastructure performance enhancements to ensure we have the most stable and secure environment possible for our world class healthcare solution.
Key Responsibilities:
· Experience administering Linux environments -- preferably Ubuntu or other Debian-based distros
· Experience in setting up servers and services in both On Premise and Cloud infrastructure (Azure and AWS)
· Infrastructure As Code using Terraform and Ansible
· Experience with Log Aggregation Tools, specifically Splunk in both an administrative and user capacity
· Experience with additional Observability Infrastructure Tools :Nagios, Grafana, DataDog
· VMware administration and maintenance enhancements
· iSCSI Storage Administration in a HPE Nimble environment is a plus
· Dell Hardware Experience in an OnPrem environment
· Azure/AWS Infrastructure provisioning
Your Key Strengths:
· Expertise in Linux Environments: Deep understanding of Debian based Linux distributions and their configurations, file systems, and management.
· Scripting and Automation Skills: Proficiency in scripting languages like Bash, Python, or Perl to automate tasks, streamline processes, and improve system efficiency.
· Networking Knowledge: Strong grasp of networking concepts, including TCP/IP, firewalls, DNS, and routing, to effectively manage and troubleshoot network-related issues.
· Security Best Practices: Knowledge of Linux security protocols and practices, including user permissions, access controls, firewalls, and intrusion detection systems, to ensure system integrity and data protection.
· System Monitoring and Performance Tuning: Ability to use monitoring tools (like Nagios,JSM or Prometheus) to analyze system performance, identify bottlenecks, and optimize resources for better efficiency.
· Disaster Recovery and Backup Solutions: Expertise in implementing and managing backup and recovery strategies to protect data and ensure business continuity in case of failures.
· Collaboration and Communication Skills: Strong ability to work collaboratively with development teams, stakeholders, and other IT personnel, effectively communicating complex technical concepts to non-technical audiences.
Bonus Skills:
· Kubernetes
· Kafka
· Identity Access Management in a Service Provider role
· Windows Active Directory Administration
#LI-AV1
#LI-hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $126,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
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