MS Cloud Support Engineer

Overview

Making a difference and driving positive change is what we do every day at Rapid Circle. Our Cloud Pioneers help our clients in their digital transformation. Are you someone who goes for constant, positive change? Then this vacancy is for you!

As a Cloud Pioneer at Rapid Circle, you will work with our customers on different projects. For example, making impact in the healthcare sector, by making research data safely available. But also, awesome projects in the manufacturing or energy market make this job very challenging.

At Rapid Circle we are curious and are constantly improving our expertise to help customers find their way in a rapidly changing world. We share our knowledge and discover new ways to learn.

Rapid Circle is growing rapidly and are therefore looking for the right person for the role. You will be given lots of freedom to develop personally. We also have a lot of in-house knowledge (MVPs) within the Netherlands, Australia, and India. By working closely with your (international) colleagues, you can continue to challenge yourself and create your own growth path. Freedom, entrepreneurship, and development are key at Rapid Circle, so also in the role of a MS Cloud Support Engineer.

Must-Have Skills

Core Azure Expertise: Strong understanding of Azure services including Virtual Machines, Microsoft Entra ID, IaaS, PaaS & SaaS environments, and Azure Monitor.

Patch Management Lifecycle: End-to-end knowledge of patch management processes, including assessment, scheduling, deployment, validation, rollback, and reporting across Windows and Linux environments.

AI Integration: Ability to actively incorporate AI tools (e.g., Microsoft Copilot, ChatGPT, Gemini) and automation into daily workflows to enhance monitoring, incident response, and operational efficiency.

AI-Powered Monitoring: Familiarity with AI-driven monitoring, alerting, and reporting tools; experience leveraging predictive analytics for proactive issue resolution.

Automation Skills: Hands-on experience with scripting (PowerShell) and automation frameworks for routine tasks and remediation.

Customer-Centric Mindset: Solution-oriented approach focused on continuous improvement and innovation through technology.

Decision-Making & Ownership: Ability to make informed decisions under pressure, mitigate risks, and take full ownership of monitoring activities.

Key Responsibilities

Monitor infrastructure, applications, and security systems using advanced monitoring tools (e.g., LogicMonitor, Microsoft Defender, Sentinel).

Respond promptly to incidents, alerts, and outages; provide Level 1/2 support and escalate as needed.

Execute Patch Management Lifecycle Activities

Assess patch requirements

Schedule and deploy patches

Validate successful implementation

Perform rollback if necessary

Generate compliance and performance reports

Perform proactive maintenance tasks such as backups, updates, and security reviews.

Maintain accurate logs and incident records in ticketing systems (e.g., ServiceNow, TopDesk, ConnectWise).

Collaborate with internal teams and vendors for issue resolution and continuous improvement.

Generate and distribute operational reports (daily/weekly/monthly).

Participate in shift handovers and ensure continuity of operations.

Follow and improve Standard Operating Procedures (SOPs).

Qualifications

Bachelor’s degree in Computer Science, IT, or equivalent experience.

1–2 years of experience in monitoring, NOC, SOC, or IT support roles.

Familiarity with monitoring tools, ticketing systems, and patch management processes.

Basic understanding of networking, servers, cloud platforms, and cybersecurity.

Strong analytical and problem-solving skills.

Excellent communication and documentation skills.

Willingness to work in a 24x7 rotational shift environment.

Preferred Skills

Microsoft certifications (AZ-900, SC-900, and fundamentals).

Experience with automation or scripting (PowerShell, Python).

Exposure to ITIL practices and compliance frameworks.

Knowledge of AI-driven observability platforms and predictive analytics