Senior Software Quality Engineer Ai Model Serving jobs at Red Hat in Brazil, São Paulo

What you will do:

• Developing Business Case documents, requirements and process maps, and representing the project at required forums

• Collaborate with business customers on requirements gathering and business analysi.

• Document use cases, create physical and logical data models and build deployment plans

• Working with multiple IT teams in support of audit activities.

• Work with technical developers and database administrators on production issues and project activities.

• Represent the team in meetings with stakeholders

• Perform functional designs, standard and custom configuration, functional testing, and release support

• Interact with cross-functional teams to deliver projects withincommitted time frames.

• Defining the scope of an actionable project, working in tandem with both Business and IT stakeholders

• Documenting issues and providing supporting documentation to the Business System organization to illustrate current state/problems, etc.

• Conduct training sessions for end-users

• Actively question and challenge customers to understand their requirements and design optimal solutions.

• Scaled Agile Methodologies Development Process (JIRA)

What you will bring:

• 5+ years of experience with delivering on projects as part of a cross-functional, cross-departmental team

• Experience with Financial Oracle E-Business Suite Applications

• Previous experience creating business cases, requirements, and process maps

• Must be able to forge and maintain beneficial working relationships with multiple areas of Operations, Sales, and IT

• Working experience with agile projects is a plus

• Experience modeling/establishing the process flow of data between systems

• Working experience with agile projects is a plus

• Bachelor’s Degree

• Fluent English language proficiency

• Detailed and concise written and verbal communication and documentation skills

• Expertise in facilitating meetings, webinars, and conference calls

• Must be experienced in the business side and IT delivery of solutions

Nice to have:

• 5+ years of Consulting experience

• Experience with mid-scale (<$ 2 million) software development projects

• Experience with Internal Audit, Business Controls, or IT process controls

• Experience with Agile Methodology

This role requires not only excellent engineering skills but also strategic vision, thought leadership, and the ability to mentor and influence others across multiple teams.

What You Will Do:

• Lead the quality strategy and implementation for Kubernetes-native components in Model Serving, including Custom Resources, Controllers, and Operators.

• Own and evolve automated test architecture with a focus on PyTest, CI/CD, integration testing, and end-to-end testing in Kubernetes environments.

• Partner with engineering, product, and community teams to define testability requirements, ensure early validation, and prevent regressions.

• Design tests that validate system-level properties including scalability, autoscaling, observability, and reliability for AI workloads.

• Participate and influence upstream communities (KServe, Kubeflow, ModelMesh, etc.), raising quality standards and sharing best practices.

• Drive efforts to mock, simulate, and validate model serving use cases in hybrid cloud and on-prem environments.

• Serve as a technical mentor and go-to expert for Python-based testing frameworks and Kubernetes-native validation strategies.

• Take a lead role in debugging complex system-level issues, especially in multi-tenant, distributed AI systems.

• Champion Shift-left testing and early validation practices across the RHOAI stack.

What You Will Bring:

• Proven expertise with Kubernetes API development and testing (CRs, Operators, Controllers). Experience working directly with Custom Resources and reconciliation logic is essential.

• Strong programming and testing experience in Python, especially with PyTest in large, scalable codebases. Golang knowledge is a plus.

• Deep understanding of Kubernetes internals, networking, and lifecycle hooks. Experience with OpenShift is a plus.

• Extensive knowledge of CI/CD pipelines, especially in containerized or cloud-native ecosystems (e.g., GitHub Actions, Tekton, Jenkins).

• Strong knowledge of test strategy for ML model serving systems, including considerations for runtime performance, isolation, and failure recovery.

• Experience with troubleshooting distributed systems and validating observability via Prometheus, Grafana, OpenTelemetry, etc.

• A proven ability to lead technical projects and mentor others across teams and time zones.

• Excellent communication skills and comfort presenting to engineers, managers, and external stakeholders.

Preferred (Nice-to-Have):

• Hands-on experience with KServe, ModelMesh, Ray, vLLM, or other model serving frameworks.

• Familiarity with Red Hat Service Mesh, Istio, Knative, or similar serverless/K8s-native middleware stacks.

• Experience with performance/load testing frameworks and chaos testing in Kubernetes.

• Contribution history in open-source projects or technical leadership in community forums.

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

What you will do:

• Developing Business Case documents, requirements and process maps, and representing the project at required forums

• Collaborate with business customers on requirements gathering and business analysi.

• Document use cases, create physical and logical data models and build deployment plans

• Working with multiple IT teams in support of audit activities.

• Work with technical developers and database administrators on production issues and project activities.

• Represent the team in meetings with stakeholders

• Perform functional designs, standard and custom configuration, functional testing, and release support

• Interact with cross-functional teams to deliver projects withincommitted time frames.

• Defining the scope of an actionable project, working in tandem with both Business and IT stakeholders

• Documenting issues and providing supporting documentation to the Business System organization to illustrate current state/problems, etc.

• Conduct training sessions for end-users

• Actively question and challenge customers to understand their requirements and design optimal solutions.

• Scaled Agile Methodologies Development Process (JIRA)

What you will bring:

• 5+ years of experience with delivering on projects as part of a cross-functional, cross-departmental team

• Previous experience creating business cases, requirements, and process maps

• Must be able to forge and maintain beneficial working relationships with multiple areas of Operations, Sales, and IT

• Working experience with agile projects is a plus

• Experience modeling/establishing the process flow of data between systems

• Working experience with agile projects is a plus

• Bachelor’s Degree

• Fluent English language proficiency

• Detailed and concise written and verbal communication and documentation skills

• Expertise in facilitating meetings, webinars, and conference calls

• Must be experienced in the business side and IT delivery of solutions

Nice to have:

• 5+ years of Consulting experience

• Experience with mid-scale (<$ 2 million) software development projects

• Experience with Internal Audit, Business Controls, or IT process controls

• Experience with Agile Methodology

Job Summary

Your primary focus will be to remove organizational, technical, and competitive blockers of adoption within key accounts to become the preferred AI platform for workloads and applications across the business and help our customers leverage their proprietary data to gain a sustainable advantage over their competitors by helping them train, build, and manage applications that rely on these models.

Primary Responsibilities:

• Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts.

• Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required.

• Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, “bake-offs,” internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI.

• Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams.

• Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions.

• Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc.

Required Qualifications

• SME with 4+ years of hands-on experience in one of the following areas:

• Machine Learning Use Case Development, including:

• Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).

• Building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).

• Machine Learning Operations design, including:

• Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.

• Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).

• Experience delivering technical presentations and leading business value sessions.

• Executive presence with public speaking skills.

Preferred Qualifications

• Computer Science or similar degree.

• Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator.

• Previous experience as an implementation consultant for AI solutions.

• Previous experience in Machine Learning Use Case Development and Operations experience.

• Industry vertical experience with Data Science projects. i.e. - expertise in FSI, medical, defense, and intelligence verticals.

• Community brand in volunteer tech communities like AI Users Group or open-source projects.

What you will do:

• Work with the customer Account Executive, Sales Specialist, and Solution Architect to identify challenges and blockers to drive Red Hat AI within new and existing customer accounts

• Plan, design, and execute AI systems with customers having the ability to architect and build data pipelines, ML pipelines, and ML training and serving approaches leveraging additional support and resources from Red Hat as required

• Facilitate pre, and post-sales activities when needed, including technical deep dives, proofs of concept, “bake-offs,” internal sprints and hackathons, and development of partner vertical-specific AI solutions to drive adoption of Red Hat AI

• Identify and partner with AI customer stakeholders, acting as an advocate within both their line-of-business and internal customer teams

• Work closely with the AI business unit and engineering teams, providing a market feedback loop on the product and solutions

• Execute community outreach and customer advocacy activities including conference speaking, blog posts, etc

What you will bring:

• SME with 4+ years of hands-on experience in one of the following areas:

• Machine Learning Use Case Development, including:

• building AI applications (e.g., deep learning, LLM/RAG, NLP, computer vision, or pattern recognition).

• Practical experience with a statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).

• Machine Learning Operations design, including:

• Previous successful experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.

• Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).

• Experience delivering technical presentations and leading business value sessions.

• Executive presence with public speaking skills

Preferred Qualifications

• Computer Science or similar degree

• Previous experience as a sales engineer, technical sales, or similar role preferably at an enterprise software company, a SaaS company, or Systems Integrator

• Previous experience as an implementation consultant for AI solutions

• Previous experience in Machine Learning Use Case Development and Operations experience

• Community brand in volunteer tech communities like AI Users Group or open-source projects

Job Summary

You will also participate in creating team structure, performance reviews, and coaching and mentoring associates. You'll collaborate with multiple Red Hat engineering teams and open-source communities around the globe, as well as major partners, strategic customers, product managers, and global alliance managers. As a Manager, you will be part of the Red Hat culture that makes us unique in the industry, enriched by Open Management Practices, Open Decision Framework, diversity and inclusion, and more.

What you will do:

• Lead a global engineering team to design, develop, and deliver product and engineering features.

• Contribute to and lead technical discussions, designs, cross-team engineering collaboration, and customer and partner engagements.

• Work with cross-functional managers and teams across support, quality assurance, documentation, and other areas to create and deliver a high-quality service.

• Coach and provide feedback to associates and support their career development and growth

• Lead the day-to-day activities of the core team across the globe, including detailed project management.

• Coordinate with team leads, architects, and other engineers on product design and architecture

• Work with our Red Hat's global and partner support teams to resolve customer issues.

• Play an active role in the hiring activities for on-site and remote teams

What you will bring:

• Bachelor's degree in computer science or equivalent - 6+ years of significant software development experience

• 3+ years of experience working in a Hybrid Cloud Management Organization as team lead or PSE.

• Experience with multiple big cloud providers, e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure

• Experience with the management of an organization's databases and database management systems as well as database performance optimization.

• Proficiency and working experience with container-related technologies (Kubernetes, OpenShift, etc.)

• Demonstrated ability to apply technology to business problems - experience successfully leading through ambiguity and change.

• Solid organizational capability, including building and achieving aggressive plans and leading the everyday activities of a global engineering team

• Deep technical understanding and expertise and the ability to navigate through high-level system and software architecture down to detailed designs, code reviews, and problem-solving; this is a highly technical, directly involved role

• Excellent understanding of all aspects of software development, project management, quality assurance (QA), and customer advocacy in a large-scale environment

What you will do

• Lead contributions to the architecture, design, and development of automated testing of new features and solutions for RHOAI, specifically over Model Serving capabilities

• Innovate in the MLOps domain by participating in upstream communities

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

• Write integration and usability tests and work with software engineers to ensure product quality

• Use CI/CD best practices to deliver high-quality 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 quality 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 quality engineers

What you will bring

• Strong experience testing applications in Python, Go is a plus

• Strong experience in Kubernetes or Openshift

• Strong experience in CI/CD systems

• Ability to quickly learn and guide others on using new tools and technologies

• Experience with source code management tools such as Git

• Innovation skills and a passion for technology

• Strong system understanding and troubleshooting capabilities

• Autonomous work ethic, thriving in a dynamic, fast-paced environment.

• Excellent written and verbal communication skills

The following will be considered a plus:

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess

• Experience in AI space

• Experience with MLOps, mainly over tests of the Models served by MLOps platforms

• Understanding of how Open Source and Free Software communities work

• Experience with development for public cloud services (AWS, GCE, Azure)