Enable Red Hat as a leader in the MLOps domain by serving as a leader in high impact upstream open-source communities including Kubeflow Pipelines. Architect & lead implementation of new features & solutions for OpenShift AI, primarily in the AI Pipelines component & its integrations with other components of OpenShift AI.
Position requires a Bachelor degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering or related field & 6 years of experience in the job offered or related role. Must have 6 years of experience with: developing apps in C & Python; identifying, learning, & adopting emerging tech trends; & collaborating asynchronously with a globally distributed team.
Candidate must have 4 years of experience with developing apps in Kubernetes & OpenShift; app lifecycle management, microservices, & Git Operations; orchestrating Machine Learning & AI workflows & pipelines; creating pipeline DAGs, metadata lineage tracking, storage solutions, & data processing; distributed storage solutions; designing & implementing CI/CD workflows; managing & coordinating Upstream Communities, organizing GitHub Processes; workflows, & releases; & coaching & mentoring junior software engineers. Must have 3 years of experience designing robust & extensible APIs using both GRPC & REST. Must have 1 year of experience with: leading an open-source community or Kubeflow project; & contribute to the open source Kubeflow pipelines project.
Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, LLC office in Boston, MA.
Job ID: R-056648
Qualified Applicants: Apply online at www.redhat.com/about/work
Salary: $178,131 - $287,410 / year. Actual offer will be based on your qualifications.
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