Associate Cloud Consultant - Application Development

You will work with enterprise customers and Red Hat consulting teams to implement, modernize, and deliver cloud-native applications using modern development frameworks, microservices, APIs, container technologies, and Kubernetes/OpenShift.

A key part of the role will be developing Generative and Predictive AI solutions for real business use cases. This includes applications using AI agents, and LLMs running on-premises or accessed through cloud services.

You will work closely with Senior Consultants, Architects, and customer technical teams throughout delivery. CI/CD, GitOps, and modern DevSecOps practices will support how you build, test, and deploy reliable and maintainable solutions.

What you will do

• Develop and modernize Java applications using microservices, APIs, containers, and Kubernetes/OpenShift.
• Support applications modernization and evolvement to cloud-native architectures.
• Develop Generative AI applications using LLMs, vector databases, AI agents, and tool calling.
• Implement CI/CD and GitOps workflows to automate application delivery and manage deployments.
• Help customers secure their software supply chain through Red Hat Lightwell program by identifying vulnerable open-source dependencies and integrating security remediations.
• Apply observability, secure development, and DevSecOps practices throughout the software lifecycle.
• Integrate on-premises models and cloud AI services into enterprise applications.
• Collaborate with Senior Consultants, Architects, and customer technical teams.
• Be available, when required, to work onsite with customers in Italy and across EMEA.

What you will bring

• 5+ years of professional IT experience, with a strong hands-on background in software development.
• Strong Java development skills and experience with modern application frameworks.
• Consolidated and proven experience developing cloud-native and containerized applications
• Working experience with Kubernetes/OpenShift or similar container orchestration platforms.
• Hands-on experience developing and applying Generative and Predictive AI solutions in a business context.
• Practical experience with Git, CI/CD, and GitOps workflows.
• Solid background in software engineering fundamentals, design patterns, testing, and maintainable code.
• Familiarity with Python and common libraries and frameworks (I.E. PyTorch, NumPy, and pandas)
• Understanding of Agile delivery methodologies and DevOps/DevSecOps practices.
• Experience with AI-assisted software development tools and the ability to review their output for quality and security.
• Practical knowledge of microservices, REST APIs, and distributed applications.
• Good problem-solving, collaboration, and customer-facing skills.
• Good written and verbal communication skills in Italian and English.

Soft skills and customer-facing expectations

You will work directly with customer technical teams and consulting colleagues. You should be comfortable discussing requirements and technical options, taking ownership of assigned activities, and learning new technologies.

You should be able to connect technical work to business needs and use customer feedback to improve solutions.

You will apply sound engineering practices to ensure that applications, AI capabilities, and AI-assisted code meet quality, testing, security, and maintainability standards.

Considered a plus

• Experience with Red Hat OpenShift, JBoss EAP and Red Hat Application Services.
• Academic knowledge of the data science and deep learning foundations behind neural networks and Generative AI, including transformer architectures and modern LLMs.
• Understanding of software supply chain security, including dependency checks, artifact signing, and generating and maintaining Software Bills of Materials (SBOMs).
• Familiarity with developing and maintaining Ansible Playbooks in a professional environment.
• Development experience with Go, JavaScript or other programming languages alongside Java.
• Red Hat, Kubernetes, Java, cloud, or AI-related certifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay alignment.  Annual/hourly salary is one component of Red Hat’s compensation package.  This position may also be eligible for variable incentive bonus, sales commission, and/or equity.

About Red Hat

Red Hat is the world’s leading provider of enterpriseopen source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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