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Imaging IQ
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System Administrator

System Administrator

Imaging IQ

3 years

0 Lacs

gurugram haryana india

Posted:4 hours ago| Platform:

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Skills Required

diagnostics design reliability security scalability ai storage network development deployment imaging dicom research linux training inference rabbitmq pipeline service fastapi model integration routing data auto scaling monitoring aggregation processing iam vpn mfa audit compliance rest automation devops orchestration backup postgresql mongodb failover collaboration support troubleshooting software cuda aws gcp azure networking healthcare cybersecurity stack saltstack kubernetes docker scripting python database powershell

Work Mode

On-site

Job Type

Full Time

Job Description

System Administrator

Key Responsibilities

Infrastructure & Systems Management

Manage Linux-based servers, GPU clusters, and network storage for AI training and inference workloads.
Configure and maintain
message queue systems (RabbitMQ, ActiveMQ, Kafka)
for large-scale, asynchronous AI pipeline execution.
Set up and maintain
service beacons and health checks
to proactively monitor the state of critical services (XNAT pipelines, FastAPI endpoints, AI model inference servers).
Maintain PACS integration, DICOM routing, and high-throughput data transfer for medical imaging workflows.
Manage hybrid infrastructure (on-prem + cloud) including auto-scaling compute for large training tasks.
Implement monitoring and alerting systems for infrastructure uptime, resource utilization, and failures.

Service Monitoring & Reliability

Implement
automated service checking
for all production and development services using Prometheus, Grafana, or similar tools.
Configure
beacon agents
to trigger alerts and self-healing scripts for service restarts when anomalies are detected.
Set up log aggregation and anomaly detection to catch failures in AI processing pipelines early.
Ensure 99.9% uptime for mission-critical systems and clinical services.

Security & Compliance

Enforce secure access control (IAM, VPN, RBAC, MFA) and maintain audit trails for all system activities.
Ensure compliance with
HIPAA, GDPR, ISO 27001
for medical data storage and transfer.
Encrypt medical imaging data (DICOM/NIfTI) at rest and in transit.

Automation & DevOps

Develop automation scripts for service restarts, scaling GPU resources, and pipeline deployments.
Work with DevOps teams to integrate infrastructure monitoring with CI/CD pipelines.
Optimize AI pipeline orchestration with MQ-based task handling for scalable performance.

Backup, Disaster Recovery & High Availability

Manage data backup policies for medical datasets, AI model artifacts, and PostgreSQL/MongoDB databases.
Implement failover systems for MQ brokers and imaging data services to ensure uninterrupted AI processing.

Collaboration & Support

Work closely with AI engineers and data scientists to optimize compute resource utilization.
Support teams in troubleshooting infrastructure and service issues.
Maintain license servers and specialized imaging software environments.

Skills and Qualifications

Required:

3+ years of Linux systems administration experience with a focus on
service monitoring and high-availability environments
.
Experience with
message queues (RabbitMQ, ActiveMQ, Kafka)
for distributed AI workloads.
Familiarity with
beacons, service health monitoring, self-healing automation
.
Experience managing GPU clusters (NVIDIA CUDA, drivers, dockerized AI workflows).
Hands-on with cloud platforms (AWS, GCP, Azure).
Networking fundamentals (firewalls, VPNs, load balancers).
Hands-on experience with GPU-enabled servers (NVIDIA CUDA, drivers, dockerized AI workflows).
Experience managing large datasets (100GB–TB scale), preferably in healthcare or scientific research.
Familiarity with cloud platforms (AWS EC2, S3, EKS or equivalents).
Knowledge of cybersecurity best practices and compliance frameworks (HIPAA, ISO 27001).

Preferred:

Experience with PACS, XNAT, or medical imaging servers.
Familiarity with
Prometheus, Grafana, ELK stack, SaltStack beacons
, or similar monitoring tools.
Knowledge of Kubernetes or Docker Swarm for container orchestration.
Basic scripting knowledge (Bash, Python) for task automation.
Exposure to database administration (PostgreSQL, MongoDB).
Scripting skills (Bash, Python, PowerShell) for automation and troubleshooting.
Understanding of databases (PostgreSQL, MongoDB) used in AI pipelines.

Education:

Experience: 3-5 Years

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