
1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
🔥 13 hours ago
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1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
• Provide support for maintaining system stability with minimal issues • Achieve service levels through focus, metrics, and capacity management • Utilize best practices and tools for SLA reporting • Minimize people dependency and move projects toward autopilot operation • Communicate and collaborate with all partners • Resolve Tier-1 incidents, including system restarts, network connectivity checks, model resets, data flow checks, and alert re-processing • Monitor systems and report alerting metrics daily • Review RCA and resolution requests • Execute runbook fixes for incidents • Provide immediate resolution, monitoring, and daily reporting • Verify the server environment regularly • Provide daily and weekly reports on system performance, incidents, and key metrics • Schedule regular downtime for system updates or maintenance with minimal operational disruption • Escalate unresolved runbook issues to L2/L3 support for model or hardware security issues • Adhere to SLAs for response and resolution, prioritizing issues by severity • Check in via email when the Park opens • Check Real Time Overlay and Security Desk • Monitor the PagerDuty channel and take actions according to the runbook • Check Redis database cron jobs
• Experience Level: 1 to 6 Years • Comfortable with rotational shifts • Able to join immediately • Kubernetes Developer skills • CKAD certification • Expertise in Linux • Maintenance of Docker containers and Kubernetes clusters • Implement design patterns for distributed systems • Experience with Kubernetes resources including Deployments, Pods, Jobs, StatefulSets, ConfigMaps, Services, NodePort, Ingress, and Volumes • Helm Charts • Multi-container pod design using sidecar and init containers • Knowledge of hybrid cloud environments (bonus) • DevOps and CI/CD implementation • Deployment strategies including Blue/Green, Canary, and rolling updates • Probes and health checks • Container logs for debugging • Custom Resource Definitions • Strong grasp of core Python concepts • Knowledge of web frameworks • Object-oriented concepts and software design patterns • Production-grade code experience, not only scripts • Database integration and streaming pipelines, including Redis and Kafka • Multiprocess architecture • Git and GitHub • Video streaming and image processing in Python preferable • Cloud services • Core Python concepts including iterators, exception handling, file handling, data types and structures, and OOP • Flask and Gunicorn • GStreamer, FFmpeg, and OpenCV extremely useful and highly rated • Docker and Kubernetes core concepts • Linux shell • Availability for Shift A (6 AM–2 PM IST), Shift B (2 PM–10 PM IST), or Shift C (10 PM–6 AM IST)
• Two consecutive days off in a week
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