● You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues 

● Diagnose and solve customer technical problems 

● Participate in training customers and prepare reports on customer issues 

● Be responsible for customer service improvements and recommend product improvements

● Write support documentation

● You'll design and implement zero-downtime to monitor and accomplish a highly available service 

● As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues.

● Define engineering excellence for operational maturity

● You'll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically

● Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards

● Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing

Requirements

● Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++.

● Good to have experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting.

● Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues.

● Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus.

● Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus.

● Debugging and triaging skills.

● Cloud technologies like Kubernetes, Docker and Linux fundamentals.

● Familiar with DevOps practices and continuous testing.

● DevOps pipeline and automations: app deployment/configuration &amp; performance monitoring.

● Test automations, Jenkins CI/CD.

● Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams.

● Well organized and able to manage multiple projects in a fast paced and demanding environment.

Requirements added by the job poster

• 2+ years of work experience with Kubernetes

• Can start immediately

• 4+ years of work experience with Python (Programming Language)

• 1+ years of work experience with Continuous Integration and Continuous Delivery (CI/CD)

• Working in a hybrid setting

Python Developer

● You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues ● Diagnose and solve customer technical problems ● Participate in training customers and prepare reports on customer issues ● Be responsible for customer service improvements and recommend product improvements ● Write support documentation ● You'll design and implement zero-downtime to monitor and accomplish a highly available service ● As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. ● Define engineering excellence for operational maturity ● You'll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically ● Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards ● Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing Requirements ● Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++. ● Good to have experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting. ● Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues. ● Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus. ● Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus. ● Debugging and triaging skills. ● Cloud technologies like Kubernetes, Docker and Linux fundamentals. ● Familiar with DevOps practices and continuous testing. ● DevOps pipeline and automations: app deployment/configuration &amp; performance monitoring. ● Test automations, Jenkins CI/CD. ● Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. ● Well organized and able to manage multiple projects in a fast paced and demanding environment. Requirements added by the job poster • 2+ years of work experience with Kubernetes • Can start immediately • 4+ years of work experience with Python (Programming Language) • 1+ years of work experience with Continuous Integration and Continuous Delivery (CI/CD) • Working in a hybrid setting

Python Developer in New Delhi (UID-14308)

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