At Arctic Wolf, we're redefining the cybersecurity landscape. With our Pack members across the globe, we’re committed to setting new industry standards. Our accomplishments speak for themselves—from our recognition in the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 to winning CRN’s 2024 Product of the Year award.
We’re proud to be a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and a Gartner Peer Insights Customers’ Choice recipient. Our Aurora Platform also received CRN’s Product of the Year in the inaugural Security Operations Platform category.
Join a company that’s not only leading—but shaping—the future of AI-driven defense, automation, and scalable backend systems.
Our mission is simple: End Cyber Risk.
We are seeking a Senior Staff Engineer – AI Threat Intel Platform to provide deep technical leadership in designing and evolving next-generation AI-driven systems that detect and mitigate emerging risks such as fraud, abuse, and anomalous behavior at global scale.
This is a highly influential individual contributor role operating at the intersection of agentic AI systems, backend platform architecture, cloud-native scalability, and autonomous decision-making. You will define technical strategy, architect complex systems, and lead the design of LangChain/LangGraph-based reasoning frameworks, scalable backend platforms, MLOps pipelines, and autonomous AI agents that materially enhance Arctic Wolf’s proactive defense capabilities.
Candidates from cybersecurity, financial services, ad tech, or other large-scale data and risk platforms are strongly encouraged to apply.
Arctic Wolf Labs is our research and innovation division, dedicated to advancing AI, automation, and data intelligence to further our mission to end cyber risk.
The Labs Engineering team works closely with AI researchers, data scientists, security experts, and core platform teams to invent and operationalize autonomous detection systems, agentic reasoning frameworks, large-scale microservices platforms, and advanced MLOps capabilities that push the boundaries of modern cyber defense.
Act as a technical authority and system architect for the AI Threat Intel Platform, driving long-term architecture and design decisions.
Lead the design and evolution of AI-driven fraud, risk, and anomaly detection systems operating at scale.
Architect and build advanced agentic AI frameworks using LangChain, LangGraph, or similar technologies for reasoning, orchestration, and autonomous execution.
Design and guide implementation of highly scalable backend platforms and microservices using Python, Go, and cloud-native technologies.
Own architectural patterns for resilience, performance, observability, and security across distributed systems.
Design and influence event-driven, real-time pipelines using AWS services such as RDS, DynamoDB, Lambda, EKS/Kubernetes, streaming, and messaging frameworks.
Define and evolve MLOps architecture, including model lifecycle management, deployment strategies, monitoring, and real-time inference at scale.
Drive integration of LLMs and autonomous agents for dynamic pattern detection, correlation, decision automation, and adaptive response.
Set engineering standards for code quality, testing, documentation, and operational excellence across teams.
Partner with product, data science, threat intelligence, and platform leadership to align technical execution with business and security outcomes.
Lead complex technical initiatives across multiple teams without direct authority, influencing through expertise and collaboration.
Mentor senior and junior engineers, grow technical talent, and raise the overall engineering bar.
Contribute to R&D initiatives, technical reviews, architecture forums, demos, and innovation programs.
15+ years of experience in software engineering, backend/platform development, distributed systems, or applied machine learning.
Proven track record as a Senior Staff / Principal-level engineer driving architecture and delivering complex, high-impact systems.
Deep expertise in backend and distributed systems, including large-scale, real-time, or data-intensive platforms.
Strong experience with fraud detection, risk analytics, behavioral modeling, or anomaly detection in domains such as cybersecurity, fintech, or ad tech.
Hands-on experience designing or integrating agentic AI systems (LangChain, LangGraph, Semantic Kernel, or similar).
Expert-level programming skills in Python (preferred) and/or Go.
Strong understanding of ML frameworks such as PyTorch, TensorFlow, or Scikit-learn, with practical production experience.
Extensive experience with cloud-native architectures, Kubernetes, Docker, Terraform, and event-driven systems.
Deep knowledge of MLOps, data pipelines, feature engineering, model deployment, and observability.
Strong grasp of LLM orchestration, prompt strategies, evaluation, and AI system reliability.
Experience operating and scaling systems on AWS or equivalent cloud platforms.
Demonstrated ability to lead ambiguous, high-impact initiatives independently.
Excellent communication skills with the ability to influence senior technical and non-technical stakeholders.
Passion for mentoring, technical excellence, and building durable, future-proof platforms.
At Arctic Wolf, we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make our teams even stronger as we grow globally. We’ve been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and the 2nd Most Innovative Security Company. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience including:
Top Workday USA (2021–2024)
Great Place to Work (2022–2024) & Best Workplaces for Women (2024) in Canada
Best Workplaces in Tech & For Women in the UK (2023)
Top Company by Kununu in Germany (2024)
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 truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk—we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.
Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs. Please let us know if you require any accommodations by emailing recruiting@arcticwolf.com.
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.
Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).
Background checks are required for this position.