pythonkuberneteskafkaawsgcprustdistributed systemscloud infrastructurereal time streaming
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
163к-200к CAD/год
130к CAD180к CADмедиана220к CAD
По похожим ролям (50) ~ 180к CAD/год
На СНГ рынке: $1.4к/мес ($1.2к - $2.3к)
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Чёткая инфраструктурная роль в известной продуктовой компании предлагает современный стек и сильные задачи, но зарплата ниже рыночного ориентира, а обязательные три дня в офисе снижают гибкость.
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Ниже рынкаСовременный стекСильный продуктПонятные задачиОфисный график
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer (Streaming Platform): Building a self-service streaming platform for high-throughput ingestion and real-time data processing with an accent on distributed systems, Kafka infrastructure, and developer-facing abstractions. Focus on designing resilient stream processing, automating Kafka fleet management, and improving observability and failover for mission-critical systems.
Location: Toronto, with three days per week in the office
Base salary: $163,000–$200,000 CAD per year
Company
Builds application monitoring tools that help developers identify and resolve errors and performance issues, serving more than 200,000 organizations.
What you will do
Design, build, and operate Streaming Platform components, including Kafka, streaming runtime services, high-level APIs, and developer-facing abstractions.
Implement resilient, high-throughput stream processing systems for unbounded datasets with strong delivery, checkpointing, and watermarking guarantees.
Build scalable automation and control-plane systems for Kafka fleet management.
Partner with product engineers to improve the reliability and consistency of ingestion pipelines.
Improve observability, monitoring, and failover for mission-critical real-time systems.
Requirements
2–3 years of software engineering experience in distributed systems, data infrastructure, or real-time streaming.
Proficiency in Python, Rust, Go, Java, or a similar programming language.
Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP.
Interest in distributed systems, reliability, performance, and developer-focused infrastructure abstractions.
Availability to work from the Toronto office three days per week.
Nice to have
Experience with Kafka, Flink, Spark Streaming, or similar streaming technologies.
Culture & Benefits
Collaborative environment with broad impact across the organization.
Employee benefits programs, including incentive compensation and equity grants.
Paid time off and group health insurance coverage.
Inclusive workplace with reasonable accommodations available for candidates and employees with disabilities.
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