In this role, you will help design, build, and enhance mission-critical services that support event enrichment, detection, correlation, stream processing, and pipeline orchestration at massive scale. Working at the edge of cloud-native system limits, you will tackle challenging distributed systems problems and contribute to the ongoing evolution of our platform as we continue to scale performance, flexibility, and detection effectiveness in an increasingly sophisticated, AI-driven threat landscape. The Real-Time Processing Platform Team is responsible for many of the core systems used to enrich, process, correlate, and analyze data that drives detection and analytics across the platform.

You will be part of a team working on foundational systems that directly impact multiple areas of the platform, helping ensure reliability, data quality, and adaptability as requirements evolve. We build the platforms, frameworks, and real-time processing engines that transform security expertise into scalable detections, enabling security experts to express increasingly sophisticated detection logic at scale while helping Arctic Wolf identify and respond to threats across trillions of events per day. Solve complex engineering challenges related to scalability, reliability, performance, latency, throughput, and cost efficiency in cloud-native environments.

Contribute to the architecture and technical direction of next-generation platform capabilities. Deliver high-quality, production-ready software and operate systems at massive scale. Mentor and support other developers while fostering a culture of ownership, quality, and continuous improvement. 5-10+ years of professional software development experience. ~ Proven experience designing, building, and operating complex distributed systems at scale. ~ Strong background in real-time data processing architectures and high-throughput systems. ~ Experience delivering production systems end-to-end and driving complex technical initiatives with a high degree of autonomy. ~ Solid programming skills in one or more languages such as Golang, Python, or Java.



~ Experience building and deploying services in cloud environments such as AWS, Azure, or GCP. ~ Experience with technologies such as Apache Kafka, Apache Flink, Spark, Redpanda, RabbitMQ, SQS, or similar event-streaming and messaging platforms is an asset. ~ Exposure to cybersecurity, observability, telemetry, or other data-intensive platforms is preferred. ~ Passionate about building high-quality software and solving complex engineering problems at extreme scale. ~ Interested in working at the intersection of large-scale data systems and cybersecurity.

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. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use.

At Arctic

Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.

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.





Equity for all employees Flexible time off and paid volunteer days Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D;, and value-added services Robust Employee Assistance Program (EAP) with mental health services 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 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 entireemployeeexperience as accessible as possible and provideaccommodationsas required for candidates and employees with disabilities and/or other specific needs where possible. The base salary range for this job family is 75,000 to 246,000 CAD annually.

In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package. 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).

Arctic

Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, 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 recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

📌 Senior Software Development Engineer - Platform Engineer (Remote Working) (Toronto)
🏢 Arctic Wolf Networks Canada
📍 Toronto