Engineering Lead managing a team of engineers at Plaid, transforming financial interactions in Europe. Building tools for developers and overseeing technical direction in the open banking sector.
About the role
- Engineering Manager leading backend, AI, and data-platform initiatives for ShyftLabs. Driving both technical decisions and team alignment in a fast-paced startup environment.
Responsibilities
- Lead the end-to-end engineering lifecycle, from problem definition and PRD creation to delivery, launch, and iterative improvement across backend, AI, and data-platform initiatives.
- Translate business goals into detailed technical requirements, epics, and user stories for engineering teams working in Node.js, Python, React, and GCP/AWS cloud environments.
- Partner with engineering, data science, DevOps, QA, and design to prioritize roadmap items aligned with OKRs, cost constraints, and delivery velocity.
- Define and own success metrics including SLAs, SLOs, scalability, and cost-performance trade-offs while ensuring reliable and high-performing system delivery.
- Lead the development of AI-driven automation initiatives, such as OCR pipelines, reconciliation engines, anomaly detection, and LLM-powered data extraction.
- Conduct technical feasibility assessments and guide architecture decisions (e.g., GCP Cloud SQL vs. Aurora, Kafka vs. Pub/Sub, RDS Proxy adoption).
- Maintain alignment across teams through sprint planning, stakeholder reviews, backlog grooming, retrospectives, and transparent documentation.
- Own engineering documentation standards including PRDs, SOWs, cost models, and architecture diagrams.
- Coordinate with key vendors and partners (e.g., Altinity, AWS, Petco Cloud) to support integrations, platform scaling, and compliance readiness.
Requirements
- 5 to10 years of engineering experience, ideally in fast-paced environments, with a mix of hands-on technical work and leadership.
- Strong backend and cloud expertise across GCP/AWS, distributed systems, APIs, data workflows, and automation frameworks.
- Experience leading complex engineering or platform teams working on AI, automation, or large-scale data products.
- Comfortable diving deep into architecture and guiding engineers through trade-offs in reliability, scale, and cost.
- A builder’s mindset, outcome-focused, pragmatic, and able to find elegant solutions without overengineering.
- Excellent communication skills with the ability to distill technical concepts for both engineering teams and business stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Bonus: Experience in startup or high-growth product environments where speed, adaptability, and ownership are essential.
Benefits
- Comprehensive 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.
- Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
- Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
Job title
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Degree requirement
Tech skills
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