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Infra Support Engineer
Job Location:
Monthly Salary:
Posted:
8 September 2026 (Yesterday)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
APN Consulting Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow Fullstack Cloud & Data and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
Role: Infra Support Engineer
Mode: Remote
Position: Permanent OR C2H
Shift: Rotational Shift (24*7)
Key Responsibilities:
We are committed to fostering a diverse inclusive and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders races ethnicities abilities and experiences to join our team and help us build a culture of belonging.
Role: Infra Support Engineer
Mode: Remote
Position: Permanent OR C2H
Shift: Rotational Shift (24*7)
Key Responsibilities:
- Deploy manage and optimize AI/ML and LLM inference workloads across GPU clusters HPC infrastructure and cloud environments.
- Build and maintain scalable AI platform infrastructure using Kubernetes containers and enterprise orchestration platforms.
- Administer and optimize Linux servers including system configuration patching security hardening performance tuning and troubleshooting.
- Manage physical infrastructure including servers storage networking and bare-metal environments within enterprise data centers.
- Implement and maintain CI/CD and automation workflows for platform and infrastructure deployments.
- Optimize infrastructure performance GPU utilization resource allocation and distributed workloads to meet operational requirements.
- Benchmark and evaluate AI workloads for scalability latency throughput and resource efficiency.
- Collaborate with infrastructure SRE and platform engineering teams to provision compute resources and maintain enterprise-scale AI environments.
- Implement monitoring logging observability and alerting solutions for platform reliability and operational visibility.
- Apply security patches upgrades compliance controls and operational best practices for Linux and Kubernetes environments.
- Troubleshoot issues across hardware networking operating systems Kubernetes clusters and AI/ML workloads.
- Support enterprise operations through efficient incident change and ticket management processes.
- Automate infrastructure operations using scripting and infrastructure automation tools.
- 8 years of experience in Linux systems administration cloud-native infrastructure HPC environments or platform engineering.
- At least 4 years of experience supporting AI/ML workloads or large-scale distributed compute environments in production.
- Comfortable leveraging AI-assisted tools for collaborative development code generation refactoring and productivity enhancement.
- Strong hands-on expertise with Linux administration (RHEL Ubuntu or similar).
- Experience with Kubernetes administration container orchestration and cloud-native infrastructure platforms.
- Strong understanding of GPU infrastructure distributed computing and HPC systems.
- Hands-on experience with bare-metal infrastructure servers storage systems and enterprise networking.
- Strong understanding of networking fundamentals including TCP/IP DNS load balancing and firewalls.
- Experience with scripting and infrastructure automation with Bash Python etc.
- Experience with CI/CD DevOps or infrastructure deployment workflows.
- Experience with monitoring observability and logging platforms.
- Strong troubleshooting and performance optimization skills across Linux Kubernetes networking and infrastructure stacks.
- Excellent problem-solving communication and collaboration skills.
- Ability to work effectively in fast-paced mission-critical production environments.
- Experience with OpenShift or large-scale Kubernetes platform operations.
- Hands-on experience supporting AI/ML and LLM inference platforms at scale including working with vLLM for high-performance LLM serving optimization and large-scale inference.
- Experience with infrastructure-as-code GitOps or advanced automation frameworks.
- Proficiency with Python Bash Ansible Jenkins Git ArgoCD or similar DevOps tooling.
- Experience with GPU performance tuning distributed AI workloads or HPC optimization.
- Familiarity with observability platforms such as Prometheus Grafana ELK/Elasticsearch or distributed tracing systems.
- Experience supporting enterprise AI infrastructure in hybrid cloud or large-scale data center environments.
- Familiarity with Juniper networking environments or enterprise network operations.
- RHCSA/RHCE CKA/CKS or similar infrastructure/platform certifications
We are committed to fostering a diverse inclusive and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders races ethnicities abilities and experiences to join our team and help us build a culture of belonging.
Required Experience:
IC
