AI-Driven Security Operations Engineer (Hybrid)

CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. Trusted by more than 200,000 users, we enable therapy providers, educators, and employers to scale the way they deliver ABA and related therapies with innovative technology, market-leading industry expertise, and world-class customer satisfaction. We’re looking for a Senior Security Operations Engineer with a strong focus on AI-driven security to join our team. In this role, you will be a trusted partner in designing and evolving secure architectures that support a growing suite of autism and IDD care software solutions—while leveraging AI to scale and accelerate vulnerability detection at the speed of inference. As a key member of the Security Engineering team, you will drive the development of intelligent, automated security capabilities that continuouslyidentify, prioritize, and respond to threats across our cloud environment.You’llcombine deepexpertisein cloud security (AWS) with modern AI techniques to enhance detection fidelity, reduce response times, and uncover risks that traditional approaches miss. This includes building and integrating AI-powered tooling, improving signal-to-noise insecurity monitoring, and enabling real-time insights across complex systems. You will collaborate closely with teams across security, engineering, and IT to embed scalable, AI-enhanced security practices into everything we build andoperate. The goal is to ensure secure, resilient, and highly observable access to our services—while pushing the boundaries of how automation and AI can transform security operations. Ifyou’reenergized by applying AI to real-world security challenges, thrive in fast-paced environments, and enjoy tackling complex problems hands-on, this role offers the opportunity to make a meaningful impact at scale. Key Accountabilities: Design, implement, and continuously improve detection rules across SIEM, EDR, and cloud security platforms Develop automated response playbooks to reduce mean time to detect (MTTD) and respond (MTTR) Leverage GenAI tools (e.g., Anthropic Claude, Cursor ) to: Accelerate log analysis and threat triage Summarize and enrich security alerts and incident data Assistin root cause analysis and investigation workflows Integrate GenAI into SOC workflows via APIs and internal tooling Enhance detection pipelines using AI-assisted enrichment and correlation Analyze logs across endpoints, cloud environments, SaaS platforms, and networks Desired Skills and Experience: 3–7+ years of experience in Security Engineering, Detection Engineering, or Incident Response Hands-on experience with SIEM (e.g., Splunk, Datadog, Sentinel) and/or EDR platforms Strong understanding of security fundamentals (networking, OS, cloud security, identity) Experience with scripting or programming (Python preferred) Proven experience using GenAI tools (e.g., Claude, Cursor, ChatGPT) in security workflows CentralReachwas developed for Clinicians by Clinicians. The story ofCentralReachbegins in 2012 when the company’s founder, a practicing Board Certified Behavioral Analyst, decided there had to be a better way to manage her operations so she could spend more time on what mattered most — working with her clients and patients. To help ABA practices focus on what they do best,CentralReachlaunched the first iteration of its EMR and practice management platform. Today, under the leadership of Chris Sullens, an award-winning CEO in the technology space,CentralReachis committed to their mission of providingcutting-edgetechnology and services to help clinicians and educators produce superior client and patient outcomes. Already a market leader,CentralReachis expected to grow exponentially through its four core tenets: hire and develop great people; build industry-leading products; provide exceptional service to customers and continuously invest in systems,processesand infrastructure. We value our employees and offer a robust benefits package including health and dental, paid time off, life insurance, disability coverage and a 401(k) matching. We also provide comprehensive onboarding, ongoing training, mentoring and career pathing to help you develop your career. We pride ourselves on our fun and energetic environment that also provides our employees with a meaningful way to make a difference by helping clinicians produce superior outcomes for children and adults with disabilities. CentralReach will not contact you or schedule interviews via Facebook. Please note social media is a current sourcing tool for talent acquisition via LinkedIn, Instagram, FB and for our recent job fair through CR company marketing, but we have a direct link to our website where all viable jobs are listed and directly tracked to our company page. Base Salary Range

$165,000 - $175,000 USD

Backed by Roper Technologies, Inc. (Nasdaq: ROP), and led by award-winning CEO Chris Sullens, CentralReach is entering an exciting phase of growth, innovation, and scale. Recognized as one of the best places to work over 10 times by organizations such as Inc, Built In, and NJBIZ, our culture is centered around impact, inclusion, and flexibility. As a hybrid company with collaborative offices in Ft. Lauderdale, FL; Holmdel, NJ; and Verona, Italy, we foster a workplace where top talent can thrive and make a real difference in the lives of those we serve. We offer competitive compensation, comprehensive health benefits, generous PTO, 401(k) matching, and paid parental leave to our full-time employees. Our team members also enjoy hybrid work schedules, career development support, wellness programs, and opportunities to give back through CR Cares™, our community engagement initiative. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile * Will you now or in the future require visa sponsorship? * Select... Can you describe a specific example where you used GenAI (e.g., Claude, ChatGPT, Cursor) or other ML techniques to improve security detection, alert triage, or investigation workflows? What was the problem, your approach, and the measurable impact (e.g., signal-to-noise, MTTD/MTTR)? * How do you design and maintain high-fidelity detection rules across cloud (AWS), SIEM, and EDR environments while minimizing false positives? Walk us through your process—from log ingestion and enrichment to rule tuning and validation. * Tell us about an automated response playbook or security workflow you’ve built or improved. 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