Senior Software Engineer, Information Security

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. ABOUT THE ROLE We're hiring a Senior Software Engineer to architect scalable detection frameworks, integrate threat intelligence into automated security pipelines, and build AI-driven security operations at scale. You'll translate complex security requirements into production-grade software that protects our enterprise and cloud infrastructure — and you'll partner with red team, threat intel, and SOC engineers to move from signal to outcome. Full Time position requires working 3 days a week in our Mountain View office (Hybrid) WHAT YOU'LL DO - Design high-fidelity detections and correlation logic in Splunk Enterprise Security and AWS OpenSearch — tuning for coverage and signal-to-noise. - Build AI-powered detection tooling that ingests threat intel and recommends new use cases using ML and NLP techniques. - Write production Python, Java, and Bash to automate workflows, build internal tooling, and integrate with cloud and third-party APIs. - Engineer ETL pipelines for log ingestion, normalization, and routing across AWS, multi-cloud, and on-prem environments. - Translate red team findings, threat hunts, and pentest results into durable detection improvements and control enhancements. - Drive detection standards and reusable patterns across endpoint, network, identity, and cloud domains. - Mentor engineers and analysts on detection methodology, secure software practices, and architecture. WHAT YOU HAVE - Bachelor's degree in Computer Science, Cybersecurity, or a closely related technical field (Master's a plus). - 6+ years in software and/or security engineering, with 2+ years building detections on enterprise SIEMs (Splunk, OpenSearch, Securonix, or equivalent). - 2+ years hands-on experience developing security automation or AI/ML-based security applications in Python, Java, or similar. - Strong command of AWS (SageMaker, OpenSearch, Lambda, IAM), EDR platforms (CrowdStrike, Carbon Black), and modern identity tooling. - Fluency with MITRE ATT&CK, NIST CSF, Zero Trust, and CIS Controls; comfort integrating STIX/TAXII and MISP feeds. - Track record supporting compliance audits (SOC 2, FedRAMP, ISO 27001, HIPAA, or SOX) from a hands-on engineering seat. NICE TO HAVE - Splunk Certified Architect or Developer; CISSP, CEH, or GIAC GCED. - Experience applying ML to anomaly detection, behavioral analytics, or security NLP. - Background in healthcare, financial services, or other regulated industries. - Enterprise vulnerability management experience — authenticated scanning, CVSS prioritization, automated reporting. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com http://getathelas.com, @commure.com http://com