About You
You are an Operations Cybersecurity Engineer with strong experience in security operations, threat detection, and incident response within modern cloud and enterprise environments. You are passionate about protecting systems, identifying risks, and improving security posture through proactive monitoring and operational excellence.
You bring a detail-oriented, analytical, and proactive mindset, capable of investigating security events, managing security tools, and responding effectively to incidents across client environments. You are comfortable working with Microsoft security technologies, identity and access management concepts, and security monitoring platforms to support secure and reliable operations.
You thrive in collaborative environments, partnering with cybersecurity, infrastructure, and client teams to strengthen security practices and improve operational processes. You are adaptable, highly responsible, and committed to continuous learning in an evolving cybersecurity landscape.
You Bring to Applaudo the Following Competencies:
You Will Be Accountable for the Following Responsibilities:
About Us
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.