Machine Learning Engineer 5 - Kubernetes - MLOps

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences!
DevOps
Principal Software Engineer
In-Person
9+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer 5 - Kubernetes - MLOps

Join Adobe's Firefly Group and be at the forefront of innovative technology! We are seeking a dedicated Software Development Engineer to join our ambitious team in Noida. This role is perfect for someone who thrives in a collaborative environment and aims to successfully implement robust cloud solutions. You will play a critical part in crafting our ML/AI-powered products, ensuring they are reliable, scalable, and high-performing.

As a Machine Learning Engineer 5 specializing in Kubernetes and MLOps, you will be responsible for architecting, deploying, and maintaining Kubernetes clusters to meet organizational standards. You'll lead containerized applications, develop automation scripts, set up monitoring tools, and implement security measures for Kubernetes infrastructure. Your role will involve optimizing performance, analyzing resource usage, and collaborating with cross-functional teams to support application deployment and integration with Kubernetes.

Key responsibilities include:

  • Architecting and maintaining Kubernetes clusters
  • Developing automation scripts for Kubernetes infrastructure
  • Implementing security measures and disaster recovery strategies
  • Optimizing performance and analyzing resource usage
  • Providing mentorship on Kubernetes technologies

Requirements:

  • B.Tech / M.Tech degree in Computer Science from a premier institute
  • 9+ years of proven experience in software development and operations
  • Strong computer science fundamentals and understanding of architecture
  • Proficiency in Java/Python and Shell scripting
  • Experience with Cloud Platforms, preferably AWS
  • Strong problem-solving skills and ability to work independently
  • Good understanding of Kubernetes and product life cycles

This role offers an outstanding opportunity to work with cutting-edge technology in a dynamic environment. You'll be empowering engineers and researchers by providing world-class cloud solutions for ML workflows. If you're passionate about crafting flawless digital experiences and eager to compete in a fast-paced setting, this is the perfect role for you at Adobe.

Last updated 5 months ago

Responsibilities For Machine Learning Engineer 5 - Kubernetes - MLOps

  • Architecting, deploying, and maintaining Kubernetes clusters
  • Leading containerized applications using Kubernetes
  • Developing automation scripts for Kubernetes infrastructure
  • Setting up monitoring tools for Kubernetes clusters
  • Investigating and resolving Kubernetes-related issues
  • Implementing security measures for Kubernetes clusters
  • Optimizing performance bottlenecks
  • Analyzing resource usage patterns
  • Collaborating with cross-functional teams
  • Documenting processes and configurations
  • Implementing disaster recovery strategies
  • Providing mentorship on Kubernetes technologies

Requirements For Machine Learning Engineer 5 - Kubernetes - MLOps

Kubernetes
Java
Python
Linux
  • B.Tech / M.Tech degree in Computer Science
  • 9+ years of experience in software development and operations
  • Strong computer science fundamentals
  • Good understanding of Cloud Platforms, preferably AWS
  • Proficient in Java/Python and Shell scripting
  • Hands-on experience in writing reliable code
  • Strong problem-solving skills
  • Good understanding of Kubernetes and product life cycles
  • Technical depth in operating systems and OS internals
  • Technical depth in Cloud Computing and Services architecture

Benefits For Machine Learning Engineer 5 - Kubernetes - MLOps

401k
Medical Insurance
Visa Sponsorship
  • 401k
  • Medical Insurance
  • Visa Sponsorship

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