4 дня назад
Senior Software Engineer (AI)
107 000 - 157 300CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building scalable data-platform infrastructure, APIs, streaming systems, control planes, and developer-facing capabilities for analytics, AI, real-time insights, and customer experiences with an accent on distributed systems, reliability, and automation. Focus on designing high-availability services, processing millions of records across batch and real-time pipelines, and applying AI/LLMs to improve engineering productivity.
Location: Toronto, Ontario, Canada. The role may require in-person onboarding and/or in-person identity verification.
Salary: CAD 107,000–157,300 annual base salary, with potential additional bonuses, stock grants, and benefits.
Company
develops software that helps innovators design and create buildings, vehicles, factories, media, and other products.
What you will do
- Design and develop scalable REST, GraphQL, and event-driven APIs, microservices, and backend services using Go, Java, or Python.
- Architect distributed systems and data platforms processing millions of records across batch and real-time pipelines.
- Build streaming and ingestion systems with Kafka and Flink, as well as control-plane services for orchestration, workflows, and metadata-driven automation.
- Develop self-service infrastructure abstractions for storage, compute, and workflow provisioning, including full-stack capabilities when needed.
- Improve availability, fault tolerance, observability, performance, CI/CD, testing, and cloud-native operations.
- Partner with product, architecture, data engineering, and ML teams; contribute to technical strategy and mentor engineers.
Requirements
- At least 5 years of professional software engineering experience building production systems.
- Strong programming skills in Go, Java, or Python.
- Experience designing distributed systems or microservices architectures and building REST, GraphQL, or event-driven APIs.
- Experience with cloud platforms, preferably AWS.
- Strong understanding of CI/CD, containerization, and cloud-native infrastructure.
- Ownership of production systems, including operational support and continuous improvement.
Nice to have
- Experience with Kafka, Flink, Spark, Trino/Presto, Hive, or EMR.
- Experience with data platforms, storage systems, orchestration engines such as Airflow or Temporal, and large-scale data processing.
- Experience with data modeling, schema design, observability, monitoring, developer platforms, or internal tooling.
Culture & Benefits
- Work on data infrastructure supporting analytics, AI, real-time insights, and customer-facing experiences across .
- Opportunities for architectural ownership and technically challenging platform engineering.
- Compensation may include annual cash bonuses, stock grants, and a comprehensive benefits package.
- Focus on belonging, collaboration, engineering quality, documentation, and long-term maintainability.
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