Senior Developer - Detection Platform

20 days ago

Remote, CanadaSenior

Responsibilities

Build and maintain large-scale data pipelines for threat intelligence ingestion, correlation, and operationalization.
Complete complex programming tasks and deliver major product features independently from ideation through production.
Design and ship scalable RESTful or gRPC APIs and low-latency, multi-regional backend services.
Participate in and lead architecture reviews, high-level design sessions, proof-of-concept efforts, and strategic technical initiatives.
Scale stateless and stateful services under production load and identify and resolve technical debt, bottlenecks, risks, and cross-team dependencies.
Deploy, operate, monitor, and support services in production, including participation in the on-call rotation.
Review code, establish maintainable coding practices, and drive quality improvements across the development lifecycle.
Mentor and coach junior engineers through pairing, code examples, workshops, training, and knowledge-sharing sessions.
Lead retrospectives, post-mortems, brainstorming sessions, and cross-functional initiatives aligned with organizational objectives.

Senior-level software development experience with comprehensive knowledge of software development practices and strong coding and debugging ability.
Hands-on experience building and maintaining large-scale data pipelines on cloud-based platforms.
Proficiency with at least one major cloud platform and its native data and compute services, including AWS, Azure, or GCP.
Familiarity with streaming frameworks such as Kafka, Spark Structured Streaming, or Flink.
Experience designing and shipping production-grade RESTful or gRPC APIs, including scaling and throughput management.
Experience scaling stateless and stateful services under production load, including low-latency, multi-regional backend systems.
Comfort deploying and operating services in containerized environments such as Kubernetes.
Experience working directly with internal customers to identify pain points and deliver implemented solutions.
Grounding in security best practices and standards.
Ability to take ownership of major product features, mentor team members, lead technical initiatives, and align engineering outcomes with organizational strategy.
Pragmatic approach to adopting AI where it provides meaningful value, with a high bar for quality and return on investment.

Equity for all employees.
Flexible time off and paid volunteer days.
RRSP and 401k match.
Training and career development programs.
Comprehensive private benefits including medical, mental health, dental, disability, life, AD&D, and value-added services.
Employee Assistance Program with mental health services, fertility support, and paid parental leave.
Remote interview candidates are expected to be on camera during video interviews, with accommodations available for technical, bandwidth, or location-related challenges.
Background checks are required for this position.

1,001-5,000 employees