Cloud IT Support Engineer: Kubernetes + Azure Expert

TechDigital Group; United States; On-site; USD 45,000 - 75,000; Full time

Job summary

An established industry player is seeking a Customer Support Engineer with a passion for technology and problem-solving. In this role, you will engage with users to resolve inquiries related to software and hardware operations, ensuring seamless functionality and user satisfaction. Your expertise in Azure, Kubernetes, and Red Hat Linux will be crucial in delivering exceptional support. This is a fantastic opportunity to grow your skills in a dynamic environment where your contributions will directly impact customer experiences. If you thrive in a collaborative atmosphere and are eager to tackle technical challenges, this position is perfect for you.

Qualifications

• 3-5 years of experience in customer support engineering.
• Kubernetes certification is a significant advantage.

Responsibilities

• Resolve user inquiries regarding software or hardware operations.
• Maintain records of daily data communication transactions.

Skills

Kubernetes

Azure support

Red Hat Linux

Customer support

Networking

Education

CKA certification

Azure certifications

Job description

JD:
We are seeking an AI-First Engineer Solutions Lead/Architect with SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle (SDLC). This role is focused on leading an AI platform and transforming how Supply Chain applications are designed, developed, tested, deployed, and supported through AI-enabled engineering practices.
The ideal candidate is not simply a developer who occasionally uses AI tools, but an engineer who consistently leverages AI technologies to improve productivity, code quality, testing efficiency, operational support, and overall software delivery outcomes.
Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption, including reduced development cycle times, improved code quality, lower testing effort, accelerated deployments, and faster issue resolution.

Key Skills
Skill Expertise Level
AI Led SDLC (Supply Chain Systems – Oracle ERP) Expert
Communication Expert
Thought Leader Expert

Key Responsibilities
Our primary focus is on identifying AI architects who can leverage AI across the entire SDLC, rather than traditional Oracle SCM developers who have only limited exposure to AI tools.

In addition to Oracle SCM functional and technical expertise, we would like candidates to demonstrate hands-on experience with:
• AI-assisted requirements analysis and design
• AI-driven code generation and refactoring
• AI-assisted testing, test automation, and regression strategies
• AI-enabled DevOps, code review, documentation generation, and operational support
• Experience with GitHub Copilot, Agentic AI frameworks, prompt engineering, RAG patterns, and AI-assisted developer workflows is especially valuable.

Candidates should be able to quantify business outcomes achieved through AI adoption, such as reduced development cycle time, improved code quality, lower testing effort, or faster issue resolution.
While testing is an important component, our need is broader than a dedicated testing profile. We are looking for engineers who can apply AI throughout the full software development lifecycle, from requirements through deployment and support.

I would also recommend adding experience with AI-fueled engineering frameworks and software modernization initiatives, as we are actively transforming how Supply Chain applications are designed, developed, tested, and supported using AI-enabled workflows. This aligns closely with our Supply Chain AIFC strategy and broader AI transformation goals.

Top Skills:
Skill Expertise Level
AI Led SDLC (Supply Chain Systems – Oracle ERP) Expert
Communication Expert
Thought Leader Expert