ShyftLabs
Technical Lead
Toronto, Ontario
Sponsorship not specified$130k-$170kDetected 138 days ago
PythonJavaGoNode.jsDistributed SystemsBackend DevelopmentSQLPostgreSQLSnowflakeAWSGCPCloud PlatformsCI/CDKafkaData EngineeringLeadershipCommunicationProblem SolvingMentoringAdaptability
About the role
- This is an opportunity to take ownership of architecture decisions, influence technology direction, and work alongside a passionate team that moves fast, experiments boldly, and values craftsmanship.
Responsibilities
- 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.
- 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.
- Design and implement distributed backend systems capable of handling billions of monthly events (e.g., AdTech pipelines, CAMS microservices).
- Guide engineers through architectural decisions, conduct design reviews, and balance workload distribution in an Agile setup.
- Partner closely with Product Managers and Data teams to evaluate technical feasibility, define milestones, and deliver on roadmap goals.
Requirements
- 8+ years of backend development experience, including 3+ years 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 backend language ( Node.js, Python, Go, or Java ).
- Hands-on experience with Kafka, ClickHouse, Snowflake, and relational databases.
- Proven experience scaling systems on AWS or GCP.
- Exceptional communication, mentorship, and problem-solving skills.
- A startup mindset - someone who is adaptable, execution-focused, and unafraid to get hands-on when needed.
Skills
- Access extensive learning and development resources to keep leveling up your skills.
- ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.
Compensation
- Why You'll Love Working at ShyftLabs At ShyftLabs, your work matters.
- We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
- Inclusion at ShyftLabs We're building something big, and we want you on the journey with us.
- If you're ready to use data and innovation to make an impact, apply today and let's grow together.
- ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.
Benefits
- We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs.
- Eligibility starts from day one itself. -Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
- We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply.
Equal opportunity
- If you require accommodation during the interview process, let us know and we'll be happy to support you.
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This listing is sourced directly from ShyftLabs's careers page and normalized into a canonical job model.