обновлено 5 дней назад
Senior Software Engineer II, Full-Stack (Python/React)
186 838 - 299 886CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer II, Full-Stack (Python/React) (Cloud Data Ingestion & Transformation): Building scalable systems that enable customers to integrate cloud warehouse data with the Braze platform and customize external data flows with an accent on backend-focused full-stack development, high-volume data processing, and customer-facing platform features. Focus on driving architectural decisions, designing asynchronous data pipelines and ETL applications, and building reliable distributed systems for trillions of annual data points.
Location: Toronto, Canada
Salary: CA$186,838–CA$299,886 per year; expected OTE of CA$205,600–CA$330,000 per year, including performance-based compensation.
Company
is a customer engagement SaaS platform that helps brands deliver personalized, cross-channel customer experiences using data, automation, and AI.
What you will do
- Build and evolve Cloud Data Ingestion systems that connect customers’ cloud warehouse data to the platform.
- Develop Data Transformation capabilities for customizing data flows from external sources into .
- Own features end-to-end, including backend systems and frontend experiences.
- Drive architectural decisions and contribute to technical strategy.
- Design systems that process high volumes of data and support an expanding set of features.
Requirements
- 6+ years of full-stack software development experience focused on scalable web applications.
- Strong understanding of software design, data structures, and algorithms.
- Technical leadership experience, including architectural decision-making.
- Self-directed approach, strong communication and organizational skills, and experience working in an agile environment.
- Willingness to learn the technologies needed to deliver customer solutions.
Nice to have
- Experience building software at scale with high data and traffic volumes.
- Experience with automated data pipelines, asynchronous processing, or ETL applications using Kafka, Airflow, Sidekiq, SQS, or RabbitMQ.
- Professional experience with Python/Django, React, Ruby on Rails, Snowflake, microservices, or distributed systems.
- Familiarity with modern data warehousing, BI, and analytics.
- Experience with agile processes and incremental delivery of high-quality software.
Culture & Benefits
- Hybrid ways of working and a curated in-office experience focused on community, connection, and innovation.
- Competitive compensation that may include equity, retirement plans, and an employee stock purchase plan.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability coverage.
- Fertility benefits, equal paid parental leave, and family services.
- Professional development through career pathing, learning platforms, and an annual learning stipend.
- Employee Resource Groups, volunteer opportunities, donation matching, and an inclusive workplace.
Hiring process
- AI-assisted tools may be used for application screening, interview scheduling, recording, and note summarization.
- Recruiting teams remain involved in hiring decisions; candidates may request additional information, manual review, or an alternative process where applicable.
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