Job description

Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online. Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries. But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we’re proud to be recognized as a BC Top Employer for the second consecutive year, reflecting our commitment to an inclusive, collaborative, and people-first workplace. Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite. What We Offer - Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process. - Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity. - Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized. - Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization. POSITION SUMMARY: Trulioo is looking for a Senior Software Engineer to lead the architecture and development of high-throughput, low-latency back-end services that power our Document and Biometric Verification platform. Reporting to the Senior Manager, Software Engineering, the Senior Software Engineer will design and operate distributed, event-driven microservices that orchestrate real-time identity verification - ingesting captured documents and biometric data, coordinating ML inference and third-party vendor calls, and returning verification decisions at scale across multiple global regions. You will bridge the gap between developer-facing APIs, asynchronous processing pipelines, and the ML and infrastructure systems that sit behind them. This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize how work is performed. This will be a full-time, permanent position, ideally working out of the Vancouver office on a hybrid model (3-days per week in the office). However, we are open to remote arrangements for the right candidate. WHAT YOU’LL BE DOING: - Service Architecture: Design, build, and maintain secure, modular, horizontally-scalable microservices - API & Contract Design: Own the gRPC/Protobuf contracts that drive inter-service communication, and the REST/OpenAPI surfaces exposed to external clients, with versioning and backward-compatibility discipline. - Event-Driven Pipelines: Build robust, high-throughput streaming pipelines on Apache Kafka - designing topics, consumers, and stream-processing topologies to process transaction lifecycle events and coordinate downstream verification steps. - Data & State Management: Model and optimize data access across distributed NoSQL databases, search/indexing systems, and caching layers; design for consistency, idempotency, and retention/compliance requirements. - Workflow Orchestration: Implement durable, multi-step verification workflows using a workflow engine to guarantee reliable execution across service and vendor boundaries. - Performance & Reliability: Drive sub-second end-to-end verification latency and predictable throughput; tune coroutine concurrency, backpressure, and event-driven autoscaling across a wide range of load profiles. - Technical Leadership: Drive technical architecture, mentor engineers, and collaborate with Machine Learning, Infrastructure, and Product teams to deploy computer vision models and vendor integrations into production. - Leveraging AI: - AI-Augmented Engineering: Use AI coding assistants and internal tooling to accelerate service design, implementation, testing, and code review across the microservices platform. - Intelligent Pipeline Optimization: Apply AI/ML-driven analysis (anomaly detection, log and metrics insight, capacity forecasting) to continuously tune verification-pipeline performance, throughput, and decision logic. WHAT YOU’LL BRING: - 8+ years back-end/server software engineering experience delivering production-grade, distributed services or platforms. - JVM & Kotlin: Deep proficiency with Kotlin (or strong Java transitioning to Kotlin) and modern JVM concurrency, including Kotlin Coroutines and structured concurrency. - Microservices & APIs: Hands-on experience building service-oriented or microservice architectures with gRPC/Protobuf and/or REST, including API design, versioning, and inter-service communication patterns. - Distributed Systems & Messaging: Demonstrated experience with event streaming and asynchronous messaging (Apache Kafka strongly preferred), including consumer scaling, exactly-once/idempotent processing, and failure handling. - Data Stores: Practical experience with distributed NoSQL databases, search/indexing systems, and caching strategies at scale. - Cloud Native: Comfortable operating services in a public cloud environment on Kubernetes, with familiarity around containerization, service meshes, and infrastructure-as-code. - Resource Optimization: Demonstrated expertise managing memory, thread/coroutine concurrency, connection pooling, and payload optimization for high-throughput, latency-sensitive workloads. - AI Expectations: - AI-Assisted Development: Hands-on daily use of AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate design, implementation, testing, and code review. - Critical Evaluation: Ability to critically assess AI-generated code and outputs for correctness, security, and performance before it reaches production. - Applied AI/ML Literacy: Working understanding of how LLMs and ML models behave in production (latency, cost, failure modes) sufficient to reason about AI-driven components in a backend system. IT’S A BONUS IF YOU HAVE… - Identity Verification: Experience with IDV (Identity Verification), KYC systems, or integrating with biometric liveness/anti-spoofing and document-authenticity engines. - Workflow & Orchestration: Familiarity with durable workflow engines (Temporal, Cadence, or equivalent) for coordinating long-running, multi-service processes. - ML Integration: Experience serving or integrating ML models into back-end services (e.g., Deep Java Library, PyTorch, ONNX, or TensorFlow) and orchestrating third-party vendor APIs. - Observability & Ops: Experience with modern observability tooling (metrics, logs, and distributed tracing via OpenTelemetry) and running multi-region production services. - DevOps/CI: Experience with CI/CD pipelines, containerized builds, Helm-based Kubernetes deployments, and secrets management. INTERVIEW PROCESS: At Trulioo, we strive to create an interview experience that is transparent, engaging, and respectful of your time. Our process is designed to help us learn more about your skills and experience while giving you insight into our team, culture, and the impact of the work we do. Here's what you can expect throughout the interview process: - Recruiter Interview: 30-minutes - Hiring Manager Interview: 45-minutes - Panel Interview: 60-minutes - Final Leadership Interview: 30-minutes Thriving at Trulioo At Trulioo, you’re not just an employee. You’re a valued member of our Trulicrew on a journey of professional and personal growth with a world-class organization. With Trulioo, you have the power to revolutionize the intersection of technology, digital trust and online identity to open the global economy to everyone. Together, we can shape the digital future. We’re on the lookout for exceptional people to empower with trust, autonomy and the freedom to cultivate their potential. Your curiosity, meticulous attention to detail and passion to contribute are highly valued. If that resonates with you, apply today to become a part of our team. Join us in shaping a future where your career isn’t just a journey but also a boundless exploration into the possibilities of technology and digital identity verification. Get an inside look at life at Trulioo by following us on LinkedIn ca.linkedin.com, or learn more about us at www.trulioo.com trulioo.com If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply. Trulioo welcomes applications from people with disabilities. Support is available upon request for candidates taking part in all aspects of the selection process. Finally, we know from time-to-time emergencies happen and you may need to reschedule an interview - we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility. Privacy Notice As part of our job application process, Trulioo collects, processes, and discloses personal data for the purpose of identifying suitable candidates for our job openings. For more detail, please visit Trulioo’s Website Privacy Policy trulioo.com in the section “When you apply for a job”.

Requirements

Must-haves

This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize how work is performed.
This will be a full-time, permanent position, ideally working out of the Vancouver office on a hybrid model (3-days per week in the office). However, we are open to remote arrangements for the right candidate.
Service Architecture: Design, build, and maintain secure, modular, horizontally-scalable microservices
API & Contract Design: Own the gRPC/Protobuf contracts that drive inter-service communication, and the REST/OpenAPI surfaces exposed to external clients, with versioning and backward-compatibility discipline.
Data & State Management: Model and optimize data access across distributed NoSQL databases, search/indexing systems, and caching layers; design for consistency, idempotency, and retention/compliance requirements.
Workflow Orchestration: Implement durable, multi-step verification workflows using a workflow engine to guarantee reliable execution across service and vendor boundaries.
Performance & Reliability: Drive sub-second end-to-end verification latency and predictable throughput; tune coroutine concurrency, backpressure, and event-driven autoscaling across a wide range of load profiles.
Technical Leadership: Drive technical architecture, mentor engineers, and collaborate with Machine Learning, Infrastructure, and Product teams to deploy computer vision models and vendor integrations into production.
AI-Augmented Engineering: Use AI coding assistants and internal tooling to accelerate service design, implementation, testing, and code review across the microservices platform.
Intelligent Pipeline Optimization: Apply AI/ML-driven analysis (anomaly detection, log and metrics insight, capacity forecasting) to continuously tune verification-pipeline performance, throughput, and decision logic.
8+ years back-end/server software engineering experience delivering production-grade, distributed services or platforms.
JVM & Kotlin: Deep proficiency with Kotlin (or strong Java transitioning to Kotlin) and modern JVM concurrency, including Kotlin Coroutines and structured concurrency.
Microservices & APIs: Hands-on experience building service-oriented or microservice architectures with gRPC/Protobuf and/or REST, including API design, versioning, and inter-service communication patterns.
Data Stores: Practical experience with distributed NoSQL databases, search/indexing systems, and caching strategies at scale.
Cloud Native: Comfortable operating services in a public cloud environment on Kubernetes, with familiarity around containerization, service meshes, and infrastructure-as-code.
Resource Optimization: Demonstrated expertise managing memory, thread/coroutine concurrency, connection pooling, and payload optimization for high-throughput, latency-sensitive workloads.
AI-Assisted Development: Hands-on daily use of AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate design, implementation, testing, and code review.
Critical Evaluation: Ability to critically assess AI-generated code and outputs for correctness, security, and performance before it reaches production.
Applied AI/ML Literacy: Working understanding of how LLMs and ML models behave in production (latency, cost, failure modes) sufficient to reason about AI-driven components in a backend system.
Identity Verification: Experience with IDV (Identity Verification), KYC systems, or integrating with biometric liveness/anti-spoofing and document-authenticity engines.
Workflow & Orchestration: Familiarity with durable workflow engines (Temporal, Cadence, or equivalent) for coordinating long-running, multi-service processes.
ML Integration: Experience serving or integrating ML models into back-end services (e.g., Deep Java Library, PyTorch, ONNX, or TensorFlow) and orchestrating third-party vendor APIs.
Observability & Ops: Experience with modern observability tooling (metrics, logs, and distributed tracing via OpenTelemetry) and running multi-region production services.
DevOps/CI: Experience with CI/CD pipelines, containerized builds, Helm-based Kubernetes deployments, and secrets management.

Nice-to-haves

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Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaiapirestmachine learningkotlinjavakubernetesci/cd

Platform: ashby
Effort: quick

Benefits

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Dental

Vision

Paid Time Off

Parental Leave

Wellness