Att Network Engineer Jobs in Elgin, IL (NOW HIRING)

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. 

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.  We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

The Cybersecurity Detection and Response Engineer administers, engineers, and improves ONB’s security monitoring and response platforms, with primary focus on Microsoft Sentinel and Microsoft Defender XDR. This role builds and tunes detections, supports complex investigations, partners with third-party monitoring providers to receive and triage escalations, automates repeatable security workflows, and uses modern tools—including AI-assisted analysis—to improve speed, accuracy, and consistency across security operations.

Salary Range

The salary range for this position is $77,900/yr - $153,000/yr plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

Key Accountabilities 

Detection Engineering & Threat Detection 

• Develop and maintain detection use cases based on threat intelligence, emerging attack techniques, and MITRE ATT&CK. 

• Conduct validation testing, threat hunting, and participate in red/purple-team testing to evaluate detection effectiveness. 

• Identify monitoring gaps and implement improvements to coverage, telemetry, and response processes. 

• Partner with SOC analysts, IT teams, and third-party providers to improve investigation quality and operational outcomes. 

Security Automation & SOAR 

• Design and maintain Sentinel playbooks, Logic Apps, APIs, and automation workflows. 

• Automate repetitive SOC processes to improve response speed, consistency, and analyst efficiency. 

• Evaluate and responsibly apply AI-assisted capabilities to support investigation, summarization, triage, detection development, and operational improvement. 

Incident Response Support 

• Serve as an escalation resource for complex security events and investigations. 

• Support incident response through data analysis, evidence collection, and investigative support. 

• Maintain practical playbooks, response procedures, and after-action improvement recommendations. 

Continuous Improvement 

• Research emerging threats, vulnerabilities, defensive capabilities, and practical uses of AI in security operations. 

• Support audit, regulatory, and governance needs including FFIEC, NIST, and applicable banking requirements. 

• Continuously improve monitoring, response, automation, and operational processes. 

Key Competencies for Position 

• Technical depth: Strong understanding of Sentinel, Defender XDR, KQL, detection engineering, automation, and incident response. 

• Investigative judgment: Able to analyze complex events, identify root cause, and develop practical risk-based improvements. 

• Communication and partnership: Clearly explains technical issues and works effectively across security, IT, risk, and business teams. 

• Continuous improvement mindset: Seeks opportunities to improve security operations through automation, AI-assisted workflows, and better detection outcomes.