**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Software Engineer, Data Science based in the United States.** This is a high-impact engineering role focused on building and evolving advanced AI/ML-powered systems that strengthen cybersecurity detection and response capabilities at scale. The position sits at the intersection of backend engineering, machine learning, and distributed systems, contributing directly to the development of real-time threat detection models and data-driven security features. You will work in a highly collaborative, product-driven environment where engineering excellence, scalability, and reliability are essential. The role involves designing robust data pipelines, optimizing model performance, and ensuring production-grade stability across cloud-native infrastructure. You will partner closely with cross-functional teams to integrate machine learning into customer-facing security products. This is an opportunity to solve complex technical challenges while directly impacting enterprise security outcomes. ### Accountabilities: In this role, you will be responsible for designing, building, and maintaining scalable AI/ML systems and backend services that power cybersecurity products, while ensuring high performance, reliability, and security across distributed environments. - Design, develop, test, and maintain machine learning models, data pipelines, and production systems supporting real-time threat detection and behavioral analytics. - Optimize algorithms to improve accuracy, reduce false positives, and enhance the performance of security detection models. - Build and operate scalable, fault-tolerant distributed systems deployed in cloud environments (AWS/GCP) supporting high-throughput workloads. - Collaborate with cross-functional teams to integrate AI/ML capabilities into product architecture and ensure seamless end-to-end delivery. - Participate in agile development processes, code reviews, technical design discussions, and contribute to engineering best practices. - Monitor production systems, address technical debt, and continuously improve system reliability, observability, and performance. - Provide technical guidance and mentorship to junior engineers while promoting a culture of ownership and engineering excellence. ### Requirements: The ideal candidate brings strong backend engineering expertise combined with hands-on experience in machine learning systems and production-grade distributed architectures. - 7+ years of backend engineering experience, including senior-level responsibility in designing and delivering production systems. - Strong programming skills in Python, Go, or equivalent, with solid computer science fundamentals. - Hands-on experience building and operating production AI/ML systems, including model lifecycle management and data pipelines. - Strong background in machine learning, statistics, or quantitative disciplines applied to real-world systems. - Experience designing and scaling distributed systems with high availability and performance requirements. - Familiarity with cloud platforms (AWS preferred), containerization tools (Docker, Kubernetes), and modern CI/CD practices. - Strong analytical and problem-solving skills with the ability to own complex technical challenges end-to-end. - Excellent communication and collaboration abilities in fast-paced, cross-functional environments. - Experience with cybersecurity, NDR, or threat detection systems is a strong plus. ### Benefits: - Competitive base salary: $165,000 – $180,000 USD - Annual bonus eligibility based on performance - Comprehensive health, dental, and vision insurance - Flexible PTO, paid holidays, and volunteer time off - 401(k) plan with employer contribution - FSA and dependent care accounts (where applicable) - Educational reimbursement and professional development support - Remote-friendly work environment with collaborative engineering culture - Additional wellness, mental health, and employee assistance programs **How Jobgether works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) **Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1