Senior Manager, Backend Engineering

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada

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Job Summary

Job Description

What is the Opportunity?

The Advanced Data Insights & Integration (ADII) Team of RBC Personal Banking is seeking a dynamic and experienced Senior Manager, Backend Engineering to lead the development of data focused GenAI Service in support of our Marketing, Personalization, and Client Data Management Teams. In this role, you will drive the design and implementation of innovative data solutions using modern agentic frameworks and MCP servers, ensuring seamless connectivity between GenAI models and our core backend infrastructure.  The goal of these initiatives will be to transform key workflows to create value and to improve productivity. You will be responsible for delivering and maintaining high quality solutions in alignment to RBC policies.

As a leader in this space, you will play a pivotal role in shaping the future of AI-driven data solutions, enabling advanced analytics, automation, and decision-making across the organization.

What will you do?

  • Lead the design, development, and implementation of GenAI-driven data integration pipelines and backend systems.

  • Build and optimize MCP tools to standardize the deployment and management of GenAI solutions.

  • Develop and maintain data services on AWS, leveraging services like S3, Lambda, Redshift, Redis, and SageMaker.

  • Engineer scalable backend solutions using Node.js and Python, ensuring high performance, reliability, and security.

  • Collaborate with cross-functional teams (Data Science, Engineering, Product, and Business) to identify and prioritize use cases for GenAI integration.

  • Oversee the integration of GenAI models with existing data environments, APIs, and microservices.

  • Ensure data quality, consistency, and compliance with data governance and privacy standards.

  • Stay up to date of emerging trends in Generative AI Development and recommend new technologies and methodologies.

  • Work closely with stakeholders to translate business requirements into technical solutions, delivering measurable impact.

What do you need to succeed?

Must-have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

  • 6+ years of experience in backend development, data engineering, or software engineering.

  • 2+ years of experience in GenAI, machine learning, or AI-driven systems development.

  • Proven experience building MCP servers, data services, and working with Agentic AI

  • Strong programming skills in Node.js and Python, with expertise in relevant libraries and frameworks.

  • Experience working with big data technologies (e.g., Apache Spark, Hadoop, Kafka) and real-time data activation solutions.

  • Proficiency in cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).

  • Knowledge of database systems (SQL, NoSQL) and data warehousing solutions (e.g., Snowflake, Redshift).

  • Excellent leadership and time management skills, with the ability to manage multiple priorities in a fast-paced environment.

  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice-to-have

  • Experience with MLOps practices and tools for deploying and managing AI models.

  • Knowledge of data governance, privacy, and compliance standards (e.g., GDPR, CCPA).

  • Experience with Digital Analytics & Behavioural Analytics (Eg. GA4, Snowplow, Adobe Analytics)

  • Experience in the financial services industry or a regulated environment.

  • Certifications in cloud computing, data engineering, or AI/ML.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities    

  • Opportunities to building close relationships with clients

  • Access to a variety of job opportunities across business and geographies.

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Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-30

Application Deadline:

2025-07-15

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Architecture AWS Banking Big Data Computer Science Data governance Data management Data quality Data Warehousing Docker Engineering Generative AI Hadoop Kafka Kubernetes Lambda Machine Learning Microservices MLOps Node.js NoSQL Pipelines Privacy Python Redshift SageMaker SDLC Security Snowflake Spark SQL

Perks/benefits: Career development Competitive pay Flex hours Team events

Region: North America
Country: Canada

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