Senior Software Developer - Real-Time Processing Platform

Accountabilities:

• • Design, develop, and enhance core components of a large-scale real-time detection and event processing platform.
  • Build and evolve distributed systems capable of processing and analyzing trillions of events per day with near-real-time performance.
  • Develop capabilities across event processing, detection frameworks, event correlation, and stream-processing infrastructure.
  • Solve complex engineering challenges related to scalability, reliability, performance, latency, throughput, and cost efficiency in cloud-native environments.
  • Contribute to system architecture and the technical direction of next-generation platform capabilities.
  • Deliver high-quality, production-ready software and operate systems reliably at significant scale.
  • Collaborate with cross-functional teams to improve platform effectiveness, reliability, and operational excellence.
  • Drive complex technical initiatives from concept through production with a high degree of ownership and autonomy.
  • Mentor and support other developers while promoting strong engineering practices, quality, accountability, and continuous improvement.

  Requirements:

  • 5–10+ years of professional software development experience.
  • Proven experience designing, building, and operating complex distributed systems at scale.
  • Strong understanding of real-time data processing architectures and high-throughput systems.
  • Experience delivering production-grade systems end-to-end and leading complex technical initiatives independently.
  • Strong 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.
  • Proficiency with containerized technologies including Docker and Kubernetes.
  • Experience working with microservices architectures and CI/CD environments.
  • Familiarity with event-streaming and messaging technologies such as Apache Kafka, Apache Flink, Spark, Redpanda, RabbitMQ, or SQS is an asset.
  • Exposure to cybersecurity, observability, telemetry, or other data-intensive platforms is preferred.
  • Strong problem-solving skills and a passion for developing high-quality software at extreme scale.
  • Interest in working at the intersection of large-scale data systems and cybersecurity.
  • Strong collaboration and communication skills, with the ability to work effectively across technical and cross-functional teams.
  • Ability to participate in remote video interviews with the camera on, with appropriate accommodations available for technical, bandwidth, or accessibility challenges.
  • Willingness to complete required background checks and follow applicable information security policies and requirements.

  Benefits:

  • Base salary range of CAD 75,000–246,000 annually, depending on skills, experience, location, and job level.
  • Variable incentive compensation.
  • New-hire equity grants and equity participation.
  • Comprehensive private benefits package.
  • Medical, mental health, dental, disability, life, and accidental death & dismemberment coverage.
  • Employee Assistance Program with mental health services.
  • Fertility support and paid parental leave.
  • RRSP and 401(k) matching programs.
  • Flexible time off and paid volunteer days.
  • Training and career development programs.
  • Remote work opportunities in Canada.