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 independently drive large-scale engineering efforts from design through production deployment
• You have strong communication, collaboration, and problem-solving skills
• You are passionate about cybersecurity, artificial intelligence, automation, and engineering excellence
Nice to have:
• Experience building security operations automation platforms
• Experience working directly with Security Operations Center, threat detection, or incident response teams
• Experience integrating large language models and agentic frameworks into production environments
• Familiarity with detection engineering, threat intelligence, or security analytics platforms
• Experience contributing to technical strategy, architecture reviews, or engineering leadership initiatives
WHAT SUCCESS LOOKS LIKE:
• Delivery of scalable automation platforms that improve security operations effectiveness and efficiency
• Measurable improvements in detection reliability, incident response speed, and operational automation
• Successful adoption of artificial intelligence-powered workflows within security operations
• Development of highly available and secure cloud-native systems supporting global security operations
• Strong technical mentorship and growth of engineering talent across the organization
• Continuous innovation that advances Arctic Wolf’s mission to end cyber risk
Do not meet all the requirements? That is okay. We still encourage you to apply. We have many opportunities and are always looking for strong talent.
On-Camera Policy
To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace United States, Best Places to Work United States, Great Place to Work Canada, Great Place to Work United Kingdom, and Kununu Top Company Germany. Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand and enhance our technology, Arctic Wolf remains a trusted name in the industry.
Our Values
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and value the unique perspectives all employees bring to the organization. By protecting sensitive data and working to end cyber risk, we contribute to an industry that serves the greater good.
We celebrate diverse perspectives through our Pack Unity program and encourage employees to participate in or create new alliances.
We also believe in corporate responsibility and have joined the Pledge One Percent movement to give back to our communities.
All employees receive compelling compensation and benefits packages, including:
• Equity for all employees
• Flexible annual leave, paid holidays, and volunteer days
• Training and career development programs
• Comprehensive private benefits plan including medical insurance for you and your family, life insurance equal to three times compensation, and personal accident insurance
• Fertility support and paid parental leave
Arctic Wolf is an equal opportunity employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under applicable law. We are committed to fostering a welcoming, accessible, and inclusive environment.
Security Requirements
• Conduct duties in accordance with Arctic Wolf information security policies, standards, and controls
• Background checks are required for this position
• This role may require access to information protected under United States export control laws and regulations
Skills Required
- 9 or more years of experience in backend software development, infrastructure engineering, or security-focused systems development
- Deep expertise in automation design patterns, distributed systems, and cloud-native application architectures
- Experience building and operating large-scale production systems using Python, Go, or similar programming languages
- Strong experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
- Hands-on experience with Kubernetes, Docker, Terraform, and microservices-based architectures
- Experience integrating artificial intelligence or machine learning capabilities into production systems
- Strong knowledge of data pipelines, streaming architectures, and security detection workflows
- Demonstrated success leading complex technical initiatives and influencing architectural decisions
- Ability to drive large-scale engineering efforts from design through production deployment
- Strong communication, collaboration, and problem-solving skills
- Passion for cybersecurity, artificial intelligence, automation, and engineering excellence
Arctic Wolf Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arctic Wolf and has not been reviewed or approved by Arctic Wolf.
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Strong & Reliable Incentives — Incentive plans in sales roles are seen as strong when targets are met, with on‑target earnings positioned as competitive. This dynamic helps explain notably higher satisfaction in sales relative to other functions.
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Equity Value & Accessibility — Equity is included for all employees across offers, broadening ownership beyond limited groups. Broad access to equity can provide meaningful upside tied to company performance.
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Leave & Time Off Breadth — Flexible paid time off and dedicated volunteer time off are core parts of the package. These options expand avenues for time away beyond standard vacation and holidays.
Arctic Wolf Insights
What We Do
The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:
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