8 months ago
Toronto, CanadaStaff+
Base Salary
$130k - $170k/yr
Responsibilities
- Design and implement distributed backend systems capable of processing billions of monthly events.
- Develop scalable ingestion and processing frameworks using Kafka, ClickHouse, and Snowflake while maintaining data quality and schema governance.
- Optimize Aurora, Cloud SQL, and PostgreSQL databases for low latency and high availability.
- Define engineering practices for code quality, automation, monitoring, and release management.
- Guide engineers through architectural decisions, conduct design reviews, and mentor the team.
- Design scalable and cost-efficient cloud infrastructure on AWS and GCP.
- Collaborate with Product Managers and Data teams to assess feasibility, define milestones, and deliver roadmap goals.
- Improve observability and reliability through alerting, tracing, and SLO/SLA dashboards.
Requirements
- 8+ years of backend development experience.
- 3+ years of experience in a technical leadership or architecture role.
- Deep expertise in distributed systems, event-driven architecture, and data-intensive applications.
- Strong proficiency in at least one of Node.js, Python, Go, or Java.
- Hands-on experience with Kafka, ClickHouse, Snowflake, and relational databases.
- Experience scaling systems on AWS or GCP.
- Strong communication, mentorship, and problem-solving skills.
- Adaptability, execution focus, and willingness to remain hands-on in a startup environment.
Benefits
- Hybrid work with 4 days per week in the Toronto office.
- Downtown Toronto office location.
- Company-paid health, dental, and vision insurance premiums for employees and dependents, with eligibility from day one.
- Learning and development resources.
Tech Stack
Categories
BackendData Engineering
About ShyftLabs
ShyftLabs builds and runs enterprise data and AI platforms, combining data engineering, analytics, and responsible AI controls with consulting and managed delivery. It designs governed data infrastructure, customer and retail analytics, and omnichannel marketing data products for large organizations. Founded in 2018 and headquartered in Toronto, the privately held firm serves global clients and staffs teams across Toronto, New York, Dubai, and New Delhi.