Software Developer at Royal Bank of Canada

Dartmouth, Nova Scotia, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spring, Java, Scala, Go, SQL, NoSQL, AWS, Azure, Databricks, Snowflake, Docker, Kubernetes, Terraform, Git, CI/CD

Industry

Financial Services

Description

Job Description What is the opportunity? Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us! As part of the CDO Shared Data Management Office (SDMO) team, the Software Developer will design, develop, test, and maintain high-performance software applications and data infrastructure that support enterprise-wide data management and AI initiatives. You will work in a cross-functional agile environment, collaborating with data architects, analysts, and data scientists to deliver solutions that enable intelligent data governance, seamless data integration, and ML/AI enablement across the organization. What will you do? Design and develop enterprise-grade data pipelines, ETL/ELT processes, and APIs Build and optimize data infrastructure components that support real-time analytics, reporting, and AI/ML implementation into pipelines Implement data quality monitoring, validation, and lineage tracking systems to ensure data integrity across the organization Develop microservices and containerized applications (Docker, Kubernetes) for scalable data processing and integration Write clean, well-documented, and testable code following enterprise standards and best practices Participate in code reviews, performance optimization, and technical design discussions Support CI/CD pipeline development and automation for data platform deployments Troubleshoot production issues and implement solutions with minimal downtime What do you need to succeed? Must-have 3+ years of experience and strong proficiency in one or more programming languages (Python, Spring, Java, Scala, Go) Advanced SQL and experience with relational and NoSQL databases Hands-on experience with cloud data platforms (AWS, Azure) or on-premises data warehouse solutions Familiarity with analytical and cloud data lakehouse platforms (Databricks, Snowflake) Understanding of data modeling, ETL patterns, and data governance principles Experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes, Terraform) Knowledge of ML/AI workflows, model deployment, and inference pipelines Proficiency with version control systems (Git) and CI/CD tools Strong problem-solving skills and ability to work independently with minimum supervision Excellent communication skills and ability to collaborate across technical and business teams Nice to have: Experience with data mesh or decentralized data architecture patterns Familiarity with streaming technologies (Kafka, Apache Flink) Knowledge of data security, encryption, and compliance frameworks (GDPR, HIPAA) Exposure to observability and monitoring tools (Grafana, Datadog, Prometheus, ELK stack) Agile/Scrum development experience Background in machine learning operations (MLOps) or data engineering best practices 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 Flexible work/life balance options Opportunities to do challenging work #Ll-POST #TECHPJ Job Skills Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC) Additional Job Details Address: BAY WELLINGTON TOWER, 181 BAY ST:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: CHIEF LEGAL & ADMIN OFFICE GRP Job Type: Regular Pay Type: Salaried Posted Date: 2026-03-06 Application Deadline: 2026-03-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

The Software Developer will design, develop, test, and maintain high-performance software applications and data infrastructure supporting enterprise data management and AI initiatives. Responsibilities include building data pipelines, optimizing infrastructure for real-time analytics, and implementing data quality monitoring systems.