20 hours ago
Toronto, Canada or Vancouver, CanadaSenior
Responsibilities
- Design, build, and maintain secure, modular, horizontally scalable backend microservices.
- Own gRPC/Protobuf contracts and REST/OpenAPI APIs, including versioning and backward compatibility.
- Build high-throughput Apache Kafka streaming pipelines with scalable consumers and stream-processing topologies.
- Model and optimize distributed NoSQL, search/indexing, and caching systems for consistency, idempotency, and retention requirements.
- Implement durable multi-step verification workflows across services and vendor boundaries.
- Optimize coroutine concurrency, backpressure, autoscaling, throughput, and sub-second verification latency.
- Drive technical architecture, mentor engineers, and collaborate with Machine Learning, Infrastructure, and Product teams.
- Use AI coding assistants and internal tooling for design, implementation, testing, and code review.
- Apply AI/ML-driven analysis to improve pipeline performance, capacity forecasting, anomaly detection, and decision logic.
Requirements
- 8+ years of backend/server software engineering experience delivering production-grade distributed services or platforms.
- Deep Kotlin proficiency or strong Java experience transitioning to Kotlin, including JVM concurrency and Kotlin Coroutines.
- Hands-on experience with microservice architectures, gRPC/Protobuf, REST, API design, and inter-service communication.
- Experience with event streaming and asynchronous messaging, preferably Apache Kafka, including idempotent processing and failure handling.
- Practical experience with distributed NoSQL databases, search/indexing systems, and caching at scale.
- Experience operating cloud-native services on Kubernetes, with familiarity with containers, service meshes, and infrastructure-as-code.
- Expertise in memory management, thread/coroutine concurrency, connection pooling, and payload optimization for latency-sensitive workloads.
- Daily hands-on use of AI coding assistants such as GitHub Copilot, Claude Code, or Cursor, with the ability to evaluate generated code for correctness, security, and performance.
- Working understanding of LLM and ML production behavior, including latency, cost, and failure modes.
- Preferred experience includes identity verification or KYC systems, biometric liveness or document-authenticity engines, Temporal or Cadence, ML model serving or integration, OpenTelemetry, multi-region services, CI/CD, Helm, and secrets management.
Benefits
- Full-time permanent position with health, dental, vision, retirement plans with company match, paid time off, parental leave, and an annual education and training stipend equivalent to $1,000 in local currency.
- Hybrid work model with typical workdays three days per week at a hub location, ideally Vancouver; remote arrangements may be available for the right candidate.
- Flexible workplace amenities may include weekly lunches, coffee, social events, parent rooms, gyms, lounges, and adaptable workstations.
- Wellness workshops and events plus a complimentary Headspace subscription.
- Employee resource groups and an inclusive, collaborative workplace.
Tech Stack
Categories
About Trulioo
Trulioo builds a global identity verification platform used by banks, fintechs, marketplaces, and other online businesses to onboard users, meet KYC/KYB rules, and prevent fraud. Its APIs cover document and biometric checks, business verification, and watchlist screening across 195 countries, validating over 14,000 ID types and 700 million business entities. Founded in 2011 and headquartered in Vancouver, the privately held company sells subscription and usage-based services to regulated and high-growth companies.