Job Description

What is the opportunity?

The DNA (Data & Analytics) group is responsible for enabling RBC to become a data-driven organization. As part of this mission, DNA works across the enterprise to create and build data-driven solutions to serve our clients better.

 The DNA Data Services team are building data-driven products and services/API’s to tackle challenging and interesting data-related problems using RBC's massive internal datasets (client relationships, user behavior across channels, transactions, etc….) and strategically partner with the business to enable client interactions to be informed by Artificial Intelligence (AI).

What will you do?

- Take full ownership of work outcomes including design and implementation of API/microservices and backend components of our domain driven Machine Learning and AI services

 - Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives.

- Leverage best practices in continuous integration and delivery, with a strong commitment to leading with quality

- Explore new capabilities and technologies to drive innovation.

- Participate in code reviews for the engineers on your team, ensuring our delivery of clean, well-tested, and performant software

What do you need to succeed?

Must-have

- Bachelor’s degree in computer science, software engineering, or equivalent

- Experience in developing scalable, configurable applications using Python/Java/Scala and application frameworks (e.g. Spring, Spring Boot, etc)

- Experience with streaming or messaging technologies (Kafka, etc…)

- Experience leveraging big data technologies (Hadoop, Spark, and related technologies) to build data products and services

- Strong foundational knowledge of relational databases (MySQL, SQL Server, etc…) and NoSQL stores (Elasticsearch, Redis, MongoDB, etc…)

- Experience in building scalable, high-available and performant microservices

- A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency and helping others

- Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues

Nice-to-have

- Knowledge of public cloud environments (Azure & AWS)

- Experience deploying to and running applications on Kubernetes/Openshift

- Experience building or executing Machine Learning pipelines

- Experience building operational REST APIs

- Knowledge of vulnerability mitigation, identity management, public and private cloud security risks, and security best practices

RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same.  Reasonable accommodation is available where required by law.