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At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care.
Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years.
Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.
We are seeking a Security Platform Engineer to lead the modernization of our security infrastructure. This hands-on role combines security engineering, platform architecture, and AI/ML operations, responsible for managing our existing multi-vendor security stack while designing and implementing its next-generation replacement.
You’ll work across tools such as Splunk, SumoLogic, Wiz, CrowdStrike, Okta, and Trustwave, while architecting a self-hosted ELK-based security platform enhanced with agentic AI for automation and intelligent threat response. This is a unique opportunity to build the future of security operations—where scalability, automation, and intelligence converge.
Manage, integrate, and optimize the existing multi-vendor security ecosystem to ensure unified threat visibility and response.
Architect, build, and operate a self-hosted ELK-based SIEM platform with advanced automation and AI-driven capabilities.
Design and deploy data ingestion pipelines capable of processing large-scale log volumes (10TB+ daily).
Develop AI/ML models for anomaly detection, automated triage, and predictive threat analysis.
Drive platform migration strategy from commercial SIEMs to an in-house security platform with minimal disruption.
Collaborate with Security Operations (SOC) and Engineering teams to define security monitoring standards, correlation rules, and incident response workflows.
Lead automation initiatives to improve detection accuracy, reduce alert fatigue, and accelerate response times.
Ensure alignment with compliance and data privacy frameworks (SOC 2, HIPAA, GDPR, PCI-DSS).
Required
Bachelor’s degree in Computer Science, Information Security, or related field (Master’s preferred).
5+ years of experience in security engineering, platform engineering, or security operations.
Proven experience architecting or migrating large-scale security platforms.
In-depth understanding of the MITRE ATT&CK framework, security analytics, and automation.
Excellent documentation, presentation, and cross-functional collaboration skills.
Security Platforms & Operations
5+ years of hands-on experience with SIEM platforms (Splunk, ELK, SumoLogic, or equivalent).
Experience integrating EDR/XDR (CrowdStrike, SentinelOne) and identity platforms (Okta, Azure AD).
Deep understanding of incident response, log management, and threat hunting workflows.
Infrastructure & Automation
Proven experience deploying and operating ELK Stack at enterprise scale.
Strong expertise in Terraform, Ansible, Docker, and Kubernetes for automation and scalability.
Proficiency in Python for scripting, automation, and data processing.
AI/ML & Data Engineering
Hands-on experience with TensorFlow, PyTorch, and agentic AI frameworks (LangChain, AutoGen).
Knowledge of Kafka/Kinesis for stream processing and vector databases for AI-driven analytics.
Experience designing high-throughput data pipelines and implementing automated remediation workflows.
Query & Programming Skills
Proficiency with SPL, KQL, and similar query languages.
Familiarity with Go, Rust, or Java for performance-critical modules.
Preferred:
Certifications such as CISSP, GIAC, OSCP, or CISM.
Experience building or contributing to AI-driven security platforms.
Prior experience in regulated industries (e.g., healthcare, fintech).
Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.
Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization.
Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.