Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
157к-215к CAD/год
230к CAD280к CADмедиана320к CAD
По похожим ролям (48) ~ 280к CAD/год
На СНГ рынке: $4.2к/мес ($3.3к - $5.3к)
74
Хорошая вакансия
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Роль хорошо определена и предлагает работу с современными системами обработки данных в сильной продуктовой компании, но зарплата значительно ниже рыночного уровня и заметно снижает привлекательность предложения.
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Ниже рынкаСовременный стекЧеткая зона ответственностиСвой продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Query (Go): Building and operating ClickHouse-based data storage, ingestion pipelines, and domain APIs for CircleCI's historical and analytical pipeline data with an accent on high-volume query performance, distributed systems, and AI-native engineering. Focus on designing schemas, Temporal workflows, reliable event-stream ingestion, observability, and technical direction for scalable data infrastructure.
Location: Remote in Canada or the United States
Salary: CAD 156,500–215,000 annual base pay in Canada; USD 165,000–225,000 in the US General range; USD 175,000–245,000 in US Metro Zone 2; USD 185,000–255,000 in the San Francisco Bay Area and other listed metro areas.
Company
hirify.global provides a continuous integration and continuous delivery platform that helps software companies improve engineering productivity and deliver products.
What you will do
Build and harden the ClickHouse-based storage layer for historical and analytical pipeline data.
Design schemas, indexes, caching, tiered storage, and query optimization for production-scale workloads.
Design and own ingestion from event streams and durable Temporal workflows without slowing transactional services.
Expose historical data through domain-level APIs for internal product teams and customers.
Use Honeycomb, Datadog, and Rollbar to monitor ingestion lag, query latency, and data correctness.
Lead architecture decisions, data-domain migrations, technical discussions, and improvements from design through production.
Requirements
5+ years building and operating production backend systems serving real users.
Daily use of AI tools and the ability to discuss what was built with them, how they changed the approach, and where they fall short.
Hands-on experience building or owning ingestion pipelines, event-driven architectures, or analytical and time-series datastores.
Understanding of transactional versus analytical storage, including schema design and query tuning for high-volume workloads.
Strong Go skills, or strong comparable-language experience with willingness to work in Go; experience with interface design, data modeling, service integration, and concurrency.
Understanding of delivery guarantees, idempotency, backpressure, failure recovery, and appropriate use of framework reliability guarantees.
Experience leading complex system design and making deliberate technical tradeoffs.
Ability to raise engineering quality through reviews, mentoring, and direct feedback.
Nice to have
Experience with ClickHouse or another columnar database.
Familiarity with React and TypeScript.
Culture & Benefits
Remote work from Canada or the United States.
AI is treated as a core engineering approach rather than only a productivity layer.
Engineering culture emphasizes experimentation, learning from failure, customer focus, and ownership of outcomes.
Reasonable accommodation is available for candidates, employees, and participants in the hiring process.
Hiring process
Recruiters and hiring teams make hiring decisions, with AI tools used to support application review and recruiting workflows.
AI interview note-taking may be used with advance notice; candidates may opt out.
Candidates may request human-only application review or accommodations.
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