Senior Staff Developer - AI SOC Automation

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At Arctic Wolf, you will not just watch the cybersecurity industry evolve - you will help lead the change. Our global team is made up of people who thrive on solving complex problems, moving quickly, and building technology that protects organizations around the world. We are proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights, and International Data Corporation MarketScape. What matters most is the work behind these recognitions: delivering real outcomes for customers through award-winning innovation such as our Aurora Platform. If you are looking for meaningful work, smart teammates, and the opportunity to make a real impact in a high-growth company that is redefining security operations, Arctic Wolf is the right place for you. Our mission is simple: End Cyber Risk. We are looking for a Senior Staff Developer - Security Operations Automation to help achieve this mission. The Senior Staff Developer will contribute to our Engineering organization by designing and building next-generation security operations automation platforms that improve detection reliability, incident response speed, and operational efficiency. This role combines advanced backend engineering, cloud-native architecture, cybersecurity automation, and applied artificial intelligence to develop intelligent systems that strengthen Arctic Wolf's security operations capabilities. As a senior technical leader, you will help define architectural direction, mentor engineers, and drive innovation across automation frameworks, detection pipelines, and artificial intelligence-powered security workflows. ABOUT ARCTIC WOLF LABS Arctic Wolf Labs is the research-focused division of Arctic Wolf dedicated to advancing innovation in security operations. Our mission is to develop cutting-edge technologies and tools that strengthen Arctic Wolf's core goal of ending cyber risk while bringing intelligence and automation to both our customers and the broader security community. You will collaborate with threat researchers, data scientists, detection engineers, platform developers, and security operations experts to build real-world solutions for complex cybersecurity challenges. IN THIS ROLE, YOU WILL: - Design, develop, test, and deploy backend automation systems that enhance Security Operations Center workflows through cloud-native, data-intensive, and artificial intelligence-driven architectures - Develop scalable backend services and microservices using Python, Go, and modern cloud-native design patterns - Build secure, highly available systems leveraging Amazon Web Services technologies including Relational Database Service, DynamoDB, Lambda, Elastic Kubernetes Service, and other cloud-native services - Design and maintain detection pipelines, incident response playbooks, enrichment services, and intelligent automation frameworks - Integrate software components into production-ready systems with strong observability, reliability, documentation, and maintainability - Collaborate with threat detection, incident response, data science, and platform engineering teams to deliver secure and context-aware automation solutions - Apply test-driven development methodologies and continuous integration and continuous delivery practices using Git, Jenkins, Terraform, Docker, and infrastructure-as-code workflows - Contribute to architectural decisions involving large language models, reasoning agents, and autonomous task execution frameworks within security operations tooling - Solve complex technical challenges across distributed systems using advanced debugging, troubleshooting, and analytical techniques - Research, prototype, and operationalize innovative artificial intelligence capabilities for detection, triage, automation, and response workflows - Drive engineering excellence through code reviews, architectural guidance, and technical leadership - Mentor and develop engineers while contributing to the growth and maturity of the engineering organization YOU WILL BE SUCCESSFUL IN THIS ROLE IF: - You have 9 or more years of experience in backend software development, infrastructure engineering, or security-focused systems development - You possess deep expertise in automation design patterns, distributed systems, and cloud-native application architectures - You have experience building and operating large-scale production systems using Python, Go, or similar programming languages - You have strong experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure - You have hands-on experience with Kubernetes, Docker, Terraform, and microservices-based architectures - You have experience integrating artificial intelligence or machine learning capabilities into production systems - You have strong knowledge of data pipelines, streaming architectures, and security detection workflows - You have demonstrated success leading complex technical initiatives and influencing architectural decisions - You can in

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