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Platform Engineer

Role overview

Qualifications

  • Certification in Kubernetes (CKAD)
  • Strong grasp of Core Python concepts
  • Expertise in Linux and Docker
  • Strong knowledge of deployment strategies

Responsibilities

  • Provide support for maintaining system stability
  • Resolve Tier-1 level incidents
  • Monitor and report on system performance and incidents
  • Collaborate with partners for effective communication

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration
  • Problem Solving

About the company

Quantiphi logo

Quantiphi

Artificial Intelligence & Machine Learning Services

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

Company details

Company typeLarge
IndustryArtificial Intelligence & Machine Learning Services
Company size1001 - 5000

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Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Platform Engineer (Junior/Senior)

Experience Level: 1 to 6 Years 

Work location:Remote (Base Location - Mumbai, Bangalore & Trivandrum) Please apply if you are comfortable with rotational shifts and can join immediately.

Role & Responsibilities: 

  • Work with a highly responsive, proactive team to provide support for maintaining system stability with minimal issues

  • Thrive to consistently achieve service levels through focus, metrics, and capacity management

  • Utilize Best practices/Tools for SLA reporting 

  • Minimize people dependency and move the projects to autopilot mode

  • Have consistent and complete communication and collaboration with all partners

Daily Responsibilities:

Resolve Tier-1 level of incidents (as mentioned below) -

  • Common L1 fixes may include System Restarts, Network Connectivity Checks, Model Resets, Data Flow Checks, Re-Processing Alerts

  • Daily monitoring and report alerting metrics 

  • RCA and Resolution request review

  • Runbook fixes for each incident 

  • Provide immediate resolution, monitoring and daily reporting

  • Regularly verifying the the server environment 

  • Provide daily/weekly reports on system performance, incidents, and key metrics

  • Schedule  regular downtime for system updates or maintenance, ensuring minimal disruption to operations

  • If the issue cannot be resolved via the run book, escalate to L2/L3 support for model or hardware security issues

  • Adhering Service Level Agreements (SLAs) for response and resolution, prioritizing issues based on severity

  • Check-in via email when the Park opens

  • Check Real Time Overlay

  • Check Security Desk

  • Constantly monitor pagerduty channel and take necessary actions according to the run book

  • Redis db cron job check

Must Have Skills:

Kubernetes Developer:

  • Certification that best reflects below skills: CKAD

  • High Level Skills:

  • Create container infrastructure platform

  • Create and maintain highly scalable Kubernetes architecture

  • Enhance delivery systems with Continuous Integration

  • Improve monitoring and alerting

  • Troubleshoot issues and resolve problems

Granular Skills:

  • Expertise in Linux

  • Maintenance of Docker container and Kubernetes Clusters

  • Implement design patterns for distributed systems

  • Simple to complex k8s resources like Deployments, Pods, Jobs, StatefulSets, ConfigMaps, Service, NodePort, Ingress, Volumes

  • Templating Kubernetes deployments using Helm Charts

  • Multi container pod design using sidecar, init containers etc.

  • Knowledge of hybrid cloud environments - (bonus)

  • Strong expertise in DevOps and CI/CD implementation

  • Strong knowledge of deployment strategies (Blue/Green, Canary etc.) and rolling updates.

  • Implement probes and health checks

  • Utilizing container logs for debugging

  • Custom Resource Definitions

Backend Developer:

High Level Skills:

  • Strong grasp of Core Python concepts

  • Sound knowledge of web frameworks

  • Strong understanding of Object Oriented concepts and Software Design patterns

  • Experience with writing production grade code (NOT "SCRIPTS")

  • Good grasp of database integration and streaming pipelines (redis, kafka etc)

  • Multiprocess architecture

  • Strong Git and GitHub knowledge

  • Good knowledge of Video Streaming and image processing in python preferable

  • Good knowledge of Cloud Services

Granular Skills (extensive hands on experience required):

  • Core Python concepts (must have): Iterators, Exception Handling, File Handling, Data types and structures, OOP

  • Web frameworks (must have): Flask, Gunicorn

  • Video (extremely useful and highly rated): Gstreamer, ffmpeg, OpenCV

  • Containerization: Docker, Kubernetes core concepts

  • Strong knowledge of Linux shell

Shift Schedule: 

Work in rotational shifts:

Shift A - 6 AM IST to 2 PM IST

Shift B - 2 PM IST to 10 PM IST
Shift C - 10 PM IST to 6 AM IST 

Two consecutive days off in a week


.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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