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We are seeking a hands-on Cloud/DevOps Expert with an inter-disciplinary track record in software engineering, for a 6-month assignment. The ideal candidate should possess hands-on experience, ranging from developing for, and maintaining cloud and enterprise systems (k8s clusters, Automation/Scripting, containers, CI/CD, Argo workflows, VMs, Grafana, etc) to general-knowledge in cloud topics such as databases, performance benchmarking and optimization of software applications, Cloud TCO/FinOps, etc. Being a great team-player with can-do attitude for small tasks to large projects is a must.



Lead the development of deployment automations for cloud with all top-3 cloud providers. Create and maintain operators, automated-workflows, observability tools, etc. This includes, at times, mundane tasks like YAML...
Develop, test, and maintain tools for automating software delivery, deployment, update, etc.
Communicate with developers at other business units to suggest performance improvements and bug fixes.
Lead root-cause analysis for failures of software and cloud setups.
Utilize and build on-top of tools provided by public cloud providers maintain highlevel SLA requirements while adhering to compliance requirements.

As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do
Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI

Innovate in the MLOps domain by participating in upstream communities

Ensure non-functional requirements including security, resiliency, and maintainability are met

Write unit and integration tests and work with quality engineers to ensure product quality

Use CI/CD best practices to deliver solutions as productization efforts into RHOAI

Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members

Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements

Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts

Give thoughtful and prompt code reviews

Represent RHOAI in external engagements including industry events, customer meetings, and open source communities

Mentor and guide other engineers

As a core ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.


What you will do

Design and build observability and optimization tools for large-scale GenAI workloads running on Kubernetes

Develop systems to collect and analyze model performance metrics, logs, and resource usage in real-time

Innovate in the MLOps and AI observability domain by contributing to upstream communities

Collaborate with product, engineering, and research teams to improve model trust and performance

Write unit and integration tests and work with quality engineers to ensure product quality

Use CI/CD best practices to deliver solutions into RHOAI as part of our productization efforts

Contribute to a culture of continuous improvement by sharing technical knowledge and insights

Communicate effectively with stakeholders and team members to ensure visibility of ML performance

Represent RHOAI in external engagements including open source communities and customer meetings

Mentor and guide junior engineers and contribute to team growth

we are looking for a Senior Software Engineer to join our Telco engineering group.
What you will do:
Play an active role and contribute to multiple open source projects and communities like Kubernetes, Red Hat OpenShift, Open vSwitch (OVS), and Open Virtual Network (OVN)

Develop and integrate changes in multiple projects to provide end-to-end solutions

Troubleshoot, analyze bug root causes and provide resolutions

Review design, enhancement proposal and patches from other members

Work with the quality engineering team (QE) to ensure projects are tested correctly

Publicize the team's work through blogs, web postings, or conference talks

Responsible for design, development, modification, debug and/or maintenance of software systems
What will your job look like?
Develop Gen-AI framework and application
Research cutting-edge Gen-AI techniques and apply them to real-world applications.
Collaborate with cross-functional teams to integrate Gen-AI solutions into products and workflows.
Stay ahead of industry trends to drive innovation and excellence in Gen-AI.