Padmi
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ShyftLabs

data engineering · cloud infrastructure

Technical Lead

Toronto · HybridPosted 5 months ago
Software engineeringStaff+Full Time
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Architect & Deliver: Design and implement distributed backend systems capable of handling billions of monthly events (e.g., AdTech pipelines, CAMS microservices). Build Scalable Data Pipelines: Develop robust ingestion and processing frameworks using Kafka , ClickHouse , and Snowflake , ensuring data quality and schema governance. Optimize Performance: Lead database optimization efforts across Aurora , Cloud SQL , and PostgreSQL to deliver low-latency, high-availability systems. Set the Bar for Engineering: Define and enforce best practices around code quality, CI/CD automation, monitoring, and release management. Lead & Mentor: Guide engineers through architectural decisions, conduct design reviews, and balance workload distribution in an Agile setup. Drive Cloud Architecture: Design cloud infrastructure on AWS and GCP , with a focus on scalability, cost efficiency, and security compliance. Collaborate Cross-Functionally: Partner closely with Product Managers and Data teams to evaluate technical feasibility, define milestones, and deliver on roadmap goals. Champion Reliability: Promote observability and reliability engineering practices, building alerting, tracing, and SLO/SLA dashboards for high system visibility.

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