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IBM SRE DevOPs Developer MLOps Cloud Infrastructure United States, California, San Jose 429746795
22.07.2024
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Build scalable ML Infrastructure from ground up.
Automate implementing infrastructure as code (IaC) using tools such as Terraform or Terragrunt in different cloud environments.
Work with engineers and ML scientists to develop ML services & applications.
Ensure they are performant, scalable, and cost-efficient.
Bachelor’s degree (or equivalent) in computer science or related discipline.
Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript.
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn).
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.
Gathering and analyzing metrics from operating systems as well as applications to assist in performance tuning and fault finding.Participating in system design consulting, platform management, and capacity planning.
Creating sustainable systems and services through automation and uplifts.
Balancing feature development speed and reliability with well-defined service-level objectives.
Run the production environment by monitoring availability and taking a holistic view of system health.
Build software and systems to manage platform infrastructure and applications.
Improve reliability, quality, and time-to-market of our suite of software solutions.Provide primary operational support and engineering for multiple large-scale distributed software applications.
Automate implementing infrastructure as code (IaC) using tools such as Terraform or Terragrunt in different cloud environments.
Work with engineers and ML scientists to develop ML services & applications.
Ensure they are performant, scalable, and cost-efficient.
Bachelor’s degree (or equivalent) in computer science or related discipline.
Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript.
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn).
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.
Gathering and analyzing metrics from operating systems as well as applications to assist in performance tuning and fault finding.Participating in system design consulting, platform management, and capacity planning.
Creating sustainable systems and services through automation and uplifts.
Balancing feature development speed and reliability with well-defined service-level objectives.
Run the production environment by monitoring availability and taking a holistic view of system health.
Build software and systems to manage platform infrastructure and applications.
Improve reliability, quality, and time-to-market of our suite of software solutions.Provide primary operational support and engineering for multiple large-scale distributed software applications.
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