2 часа назад
Senior Backend / Data Software Engineer (Cybersecurity)
131 000 - 164 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend / Data Software Engineer (Cybersecurity): Building and operating backend services, high-volume security telemetry pipelines, data platforms, and APIs for cybersecurity products with an accent on scalability, reliability, low latency, and cost efficiency. Focus on designing streaming ingestion, lakehouse and warehouse architectures, event-driven microservices, and AI-assisted development practices across TypeScript/Node, Python, Go, Kubernetes, and AWS.
Location: Remote - Canada
Salary: CA$131,000–CA$164,000 annual base salary, plus equity and discretionary bonus.
Company
provides cybersecurity threat hunting, detection, and remediation technology for commercial customers, using technology developed by former NSA cyber operations experts.
What you will do
- Own backend and data services end to end, from design and architecture through production operation.
- Design, build, and operate scalable data pipelines and streaming ingestion for high-volume security telemetry.
- Contribute to data modeling and warehouse/lakehouse architecture for detection, analytics, and product features.
- Develop TypeScript/Node, Python, and Go services on Kubernetes, including microservices and event-driven systems.
- Improve system performance, scalability, resiliency, observability, and cost efficiency.
- Mentor engineers, communicate technical solutions to leadership, and support AI-assisted development, testing, delivery, and observability.
Requirements
- 5+ years of backend and data engineering experience delivering scalable, high-performance systems.
- Strong programming skills in at least two of TypeScript/Node.js, Python, and Go, plus experience with microservices on Kubernetes.
- Production experience with ETL/ELT, streaming pipelines, workflow orchestration, and stream processing.
- Experience with data warehouses or lakehouses, analytical data modeling, and large-scale distributed databases.
- Experience with Kafka or other event-streaming systems, secure REST/GraphQL/gRPC APIs, AWS cloud-native technologies, and CI/CD.
- Hands-on knowledge of data quality, monitoring, alerting, lineage, Prometheus, Grafana, authentication, authorization, and secure handling of sensitive data.
Nice to have
- Experience with EDR or endpoint telemetry, network logs, SIEM data, Elasticsearch, penetration testing, or vulnerability assessment.
- Experience integrating LLM-based capabilities or AI features into production SaaS products.
Culture & Benefits
- Fast-paced startup environment with multiple releases per day and Agile development practices.
- Remote work environment with equity participation available globally, subject to location and employment structure.
- International employees receive benefits in accordance with local market standards and applicable country requirements.
- Eligible US employees receive health, vision, dental, and life insurance, a 401(k) plan, and discretionary time off.
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