Senior Software Developer, Data Infrastructure
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Developer, Data Infrastructure (Go/Java/Python): Building backend services, APIs, and self-service infrastructure capabilities for a modern analytics and data platform with an accent on distributed systems, automation, reliability, and secure cloud operations. Focus on designing platform abstractions, provisioning workflows, and production systems that simplify compute, storage, orchestration, and tenant resource management.
Location: Toronto, Canada
Salary: CAD 107,000–157,300 base salary annually, with potential additional bonuses, stock grants, and benefits.
Company
develops software that helps innovators design and build products, buildings, infrastructure, and media.
What you will do
- Design, build, and operate backend services, APIs, and platform components for DataOS.
- Create abstractions and self-service workflows for compute, storage, orchestration, and tenant resources.
- Automate provisioning, configuration, deployment, and operational recovery.
- Improve platform reliability, observability, security, and cloud cost efficiency.
- Contribute to distributed systems supporting batch, streaming, and interactive workloads.
- Own capabilities from design through production operation while collaborating with product managers, architects, data engineers, and platform users.
Requirements
- 5 or more years of professional software engineering experience.
- Strong programming skills in Go, Java, Python, or a similar language.
- Experience building backend services, APIs, microservices, or distributed systems.
- Experience with cloud infrastructure, preferably AWS.
- Familiarity with automated testing, CI/CD, containers, production operations, and on-call support.
- Based in Toronto, Canada, with the ability to independently deliver and operate moderately complex technical capabilities.
Nice to have
- Experience with data platforms, infrastructure platforms, or internal developer tools.
- Experience with Kubernetes or infrastructure-as-code technologies.
- Familiarity with Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal.
- Experience with observability, service-level objectives, production reliability, infrastructure security, or cloud cost optimization.
- Experience building simple user interfaces or developer portals.
Culture & Benefits
- Meaningful ownership of production systems and platform capabilities.
- Collaborative work with product, architecture, data engineering, and platform teams.
- Comprehensive benefits package.
- Potential annual cash bonuses and stock grants in addition to base salary.
- Culture focused on belonging, collaboration, and meaningful work.
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