At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Build scalable ML Infrastructure from ground up. Automate implementing infrastructure as code (Ia. C) using tools... more details
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. 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. Partnering with development teams to improve services through rigorous testing and release procedures. 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. Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement. Provide primary operational support and engineering for multiple large-scale distributed software applications.
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