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Job Summary
You’ll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.
What you’ll do
Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.
Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.
Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.
Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.
Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.
Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.
Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.
Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
What you’ll bring
10+ years of software engineering experience
Strong background in Python and background in C, C++, Go or Rust.
Proficiency in RHEL or other Linux distributions.
Communication Skills: Strong ability to communicate technical tradeoffs and bring clarity to ambiguous situations
Passion for AI Innovation: Enthusiasm for enabling AI initiatives that drive real-world impact and accelerate prototyping efforts.
Ability to move fast without compromising quality, thriving in environments where rapid iteration and high ownership are the norm
PoC Experience: Proven ability to work on and deliver successful Proof of Concepts or initiatives, showcasing the ability to rapidly prototype and validate ideas.
Nice to have
Experience with cloud platforms such as GCP, AWS, or Azure.
experience with building and packaging Python projects, package managers (dnf, pip), and build systems (cmake, meson)
experience in working with upstream projects and Open Source communities.
Experience in early-stage product incubation or 0→1 product delivery
Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems
This is a rare opportunity to help shape how our company brings AI innovation to life - bridging research and real-world usage at a moment when speed, safety, and product quality matter most. If you're energized by rapid iteration, high autonomy, and making AI tangible for millions, we’d love to talk.
Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
Familiarity with containerization and orchestration
Understanding of Open Source development models
Experience with test-base development and agile/scrum methodologies
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About The Job
We’re not just looking for candidates who meet all the requirements, we’re looking for people who are excited about working with us and growing their career at Red Hat. We want to be transparent about what would make you most successful in the role but if you are excited by reading the job description and feel like you are right for the role, we encourage you to apply. This position could lead to regular on-site work with clients across North America, so a willingness to travel to customer locations up to 30-40 weeks per year is required. Applicants must reside within close proximity to a primary airport.
What You Will Do
•Guide customers in building large technology infrastructures that are scalable, optimally managed, and adaptable to technological improvements using Red Hat technological solutions
•Continuously learn, grow, and adapt to new skills and technologies
After joining Red Hat, you will go through an intensive customized training program on Red Hat technologies and Consulting solutions. Here's how your skill set will evolve and what you'll learn during your first year in the role:
•Understanding of how to build production-ready technical solutions, integrated with existing enterprise systems
•Learn technologies and consulting skills to enhance your abilities through enablements designed and taught by Red Hat experts and Red Hat certification
•Gain exposure and collaboration within Red Hat Customer Success & the larger organization through everyday networking and community events
Within 6 months, be ready to implement a project by attaining the following:
•Knowledge of how a customer use case can be developed into a project plan and how those requirements align with Red Hat’s technologies
•Continue expanding your knowledge and network, both internal and external, through enablement, communities, customers, and meetups
Within 12 months, begin to demonstrate technical leadership by accomplishing the following:
•Successfully implementing complex, large-scale solutions in customer environments
•Active engagement and knowledge sharing with our internal and external communities of practice on lessons learned, best practices, and how-tos
What You Will Bring
•Experience with delivering an implementation based on an architectural design
•Demonstrated ability to lead a technical project including collaborating on project timelines and maintaining project and technical documentation
•Ability to identify stakeholder needs and set expectations regarding project timelines and scope of work
•Experience working collaboratively across diverse teams and stakeholders
•An ability and desire to mentor
•Associates or Bachelor's degree or higher in computer science or a technical discipline
•Experience leading successful modern cloud platform consulting engagements
•Broad and deep technical experience with one or more virtualization and cloud technologies like OpenStack, Red Hat Virtualization, VMWare vSphere, Microsoft Hyper-V, Amazon Web Services, and Microsoft Azure
•Experience across one or more vertical industry areas
•Demonstrated track record of working in a strategic advisory role to senior IT and business executives, including extensive experience presenting to C-level executives at large firms
•Applied knowledge and experience working in agile, scrum, and DevOps teams
•Excellent written, verbal communication and presentation skills
•Willingness to travel to customer locations about 30-40 weeks per year on average throughout North America
•Familiarity with open source software and open source as a business model is a plus
•Knowledge of Red Hat's product portfolio and subscription business model is a plus
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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What you will do:
Commitment to providing an exceptional customer experience by using professional communication and applying product knowledge and deep troubleshooting to perform direct actions in cluster environments to resolve various issues.
Contribute to global initiatives and projects to constantly reduce customer effort, improve tooling, and design and write automation software to improve efficiency.
Act as the direct contact and advisor for customer inquiries and issues with their Cloud Services through our Customer Portal, conference calls, and remote access.
Proactively analyze cluster status, identify single points of failure and other high-risk architecture issues; propose and implement more resilient resolutions.
Record customer interactions including investigation, troubleshooting, and resolution of issues, to document diagnostic steps and issue resolution to create reusable solutions for future incidents.
Create and maintain knowledge articles aligned with the KCS (Knowledge-Centered Service) methodology.
Partner with internal teams and external parties to deliver seamless infrastructure support for Red Hat’s Cloud Services.
Manage incident and issue workloads to ensure that all customer issues are handled and resolved in a timely manner.
Maintain a strong work ethic, able to work effectively as part of a team, and focus on customers and resolving their issues.
Be available to perform weekend shift duties on a rotational schedule.
What you will bring:
5+ years of experience in a customer-facing technical support or solutions engineering role.
Proven experience in Infrastructure Implementation, Deployment, Administration, and Production Support of container technologies and orchestration platforms (e.g., CRI-O, Kubernetes, xKS, Docker, OpenShift Container Platform).
Experience with developer workflows, Continuous Integration (e.g., Jenkins), and Continuous Deployment paradigms.
Exceptional technical, analytical, and troubleshooting skills using tools like curl, strace, oc (kubectl), and Wireshark analysis to investigate and form precise action plans for issue remediation with components such as networking, system performance issues, Kubernetes, OpenShift Container Platform, Service Mesh, and RESTful API calls.
Experience working with tools surrounding the Kubernetes ecosystem such as Prometheus, Grafana, FluentD, etc.
Experience working with configuration management tools (e.g., Ansible, Terraform) and monitoring and automation tools (e.g., Ansible, Splunk).
Proficient scripting and automation skills (e.g., Python, Bash, Go) to convert manual and maintenance functions into fully orchestrated automation is a plus.
Ability to operate in complex, highly secure, and highly available environments and interact with Site Reliability Engineering (SRE) domain experts maintaining those environments.
Familiarity with established ITIL practices such as Incident, Change, Problem, and Release Management.
Excellent English communication skills (written and verbal) and interpersonal skills, with a desire to mentor other members of the support team and share technical knowledge in a helpful and timely fashion.
Experience logging issues and working with issue tracking tools such as Jira.
Ability to work effectively as part of an agile team, actively communicate status, and complete deliverables on schedule with a strong sense of initiative and ownership.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to work effectively and collaborate within a geographically distributed, global team.
The salary range for this position is $84,400.00 - $134,970.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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About the Job:
The Red Hat India Services team is looking for a Consultant to join us in Mumbai, India. In this role, you will help us ensure that our engagements are not just a technology implementation, but an organisational transformation. As a consultant, you will work with our lead architect in our engagements, cocreating innovative software solutions using emerging open source technology and modern software design methods in an agile environment. You’ll be coached by the team to facilitate the design and technical delivery of our solutions. As you do so, you’ll create
enthusiasm for building great software using principles of open source and agile culture. You'll support everything from the scoping to delivering the engagements. Successful applicants must reside in a city where Red Hat has mentioned the location.
What will you do?
Participate in all aspects of agile software development, including design, implementation, and deployment
Design client-side and server-side architecture
Develop and manage well-functioning databases and applications
Write effective APIs
Architect and provide guidance on building end-to-end systems optimized for speed and scale
Engage with inspiring designers and front-end engineers, and collaborate with leading back-end engineers to create reliable APIs
Collaborate across time zones via Slack, GitHub comments, documents, and frequent videoconferences
This position requires frequent on-site work with clients and availability to travel up to 50-80%.
What will you bring?
At least 3 years of experience in building large-scale software applications
Extensive experience in Openshift, Kafka, 3scale
Hands-on experience with Service Mesh technologies, including Istio , for traffic management, security, and observability in microservices architectures.
Knowledge of devops (CI/CD, GIT, ArgoCD)
Monitoring using Prometheus, Grafana
Experience in building web applications
Experience in designing and integrating RESTful APIs
Excellent debugging and optimisation skills
Experience in unit/integration testing
Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and
Familiarity with UI/UX design
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What you will do
The day-to-day responsibilities of an engineer on the team involve working with live systems and coding automation. You will be expected to:
Contribute code to increase the scalability and reliability of the service
Contribute software tests and participate in peer review to increase the quality of our codebase
Help and develop peers’ capabilities through knowledge sharing, mentoring, and collaboration
Participate in a regular on-call schedule, including occasional paid weekends and holidays
Practice sustainable incident response and blameless postmortems
Resolve customer issues escalated from the Red Hat Global Support team
Work within a small agile team to develop and improve software, support your peers, plan and self-improve
Support of critical services such as identity management and role based access control
Contribute to and support orchestration and cloud based services
Previous history and/or experience in a FedRAMP environment is a plus
What you will bring
A bachelor's degree in Computer Science or a related technical field involving software or systems engineering is required. However, hands-on experience that demonstrates your ability and interest in software engineering and cloud services is valuable to us and may be considered in lieu of degree requirements. You must have experience working with public clouds such as AWS, GCP, or Azure. You must also be able to collaboratively troubleshoot and solve problems in a team setting.
As an Senior SRE on the team, you will be most successful if you have some experience troubleshooting an as-a-service offering (SaaS, PaaS, etc.) and some experience working with complex distributed systems. Direct experience with Kubernetes or OpenShift is a plus. We like to see a demonstrated ability to debug, optimize code and automate routine tasks. We are Red Hat, so you need a basic understanding of Unix/Linux operating systems.
A US citizenship and/or fulfilled requirements as required by a FedRAMP environment and/or US Government regulations.
Desired skills
5+ years of experience managing Linux servers running Red Hat Enterprise Linux (RHEL), CentOS, or Fedora hosted at a cloud provider such as Amazon Web Services (AWS), Google Compute Engine (GCE), or Microsoft Azure
US Citizenship
Must have 1+ years of strong Kubernetes experience.
3+ years of experience with enterprise systems monitoring; knowledge of Prometheus is a plus
3+ years of experience with enterprise configuration management software like Ansible by Red Hat, Puppet, or Chef
2+ years of experience programming with at least one object-oriented language; Golang or Python.
2+ years of experience delivering a hosted service
Demonstrated ability to quickly and accurately troubleshoot system issues
Solid understanding of standard TCP/IP networking and common protocols like DNS and HTTP
Solid communications skills and experience working directly with and presenting to customers
1+ year(s) of experience with docker-based containers is a plus
The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit

Share
Job Summary
You’ll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.
What you’ll do
Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.
Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.
Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.
Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.
Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.
Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.
Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.
Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
What you’ll bring
10+ years of software engineering experience
Strong background in Python and background in C, C++, Go or Rust.
Proficiency in RHEL or other Linux distributions.
Communication Skills: Strong ability to communicate technical tradeoffs and bring clarity to ambiguous situations
Passion for AI Innovation: Enthusiasm for enabling AI initiatives that drive real-world impact and accelerate prototyping efforts.
Ability to move fast without compromising quality, thriving in environments where rapid iteration and high ownership are the norm
PoC Experience: Proven ability to work on and deliver successful Proof of Concepts or initiatives, showcasing the ability to rapidly prototype and validate ideas.
Nice to have
Experience with cloud platforms such as GCP, AWS, or Azure.
experience with building and packaging Python projects, package managers (dnf, pip), and build systems (cmake, meson)
experience in working with upstream projects and Open Source communities.
Experience in early-stage product incubation or 0→1 product delivery
Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems
This is a rare opportunity to help shape how our company brings AI innovation to life - bridging research and real-world usage at a moment when speed, safety, and product quality matter most. If you're energized by rapid iteration, high autonomy, and making AI tangible for millions, we’d love to talk.
Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
Familiarity with containerization and orchestration
Understanding of Open Source development models
Experience with test-base development and agile/scrum methodologies
These jobs might be a good fit