What is the opportunity?
Do you enjoy cyber security research and innovation, proactive thinking and problem solving, in a challenging and adaptive environment while constantly thinking outside of the box? If so, this opportunity is right for you!
RBC`s Security Research & Innovation team is responsible for researching threats to the organization and its clients and employees and designing solutions and techniques for countering these threats. We are a team of experienced and enthusiastic security experts, researchers, developers, and innovators that are passionate about envisioning novel solutions to complex cyber security and digital crime problems. We take ideas through the full lifecycle of research, experimentation, development, and deployment to build solutions in areas where security vendors are one step behind. We leverage cutting edge cloud Devops, AI/ML, and security analysis technology to reduce risk to our organization, employees, and clients.
We’re looking for a Senior Software Engineer with a passion for security and a builder’s mindset — someone who thrives at the intersection of cutting-edge Python development, cloud-native architecture, and applied AI. The right candidate combines deep engineering skills with security domain knowledge and is driven to create platforms that give defenders a decisive advantage over adversaries.
What will you do?
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Design, build, and iterate on a custom security research platform using modern Python (FastAPI, Pydantic) and cloud-native services
- Architect and implement scalable data pipelines that ingest, enrich, and correlate threat intelligence from diverse sources including threat feeds, data lakes, and third-party security APIs
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Develop and integrate AI/ML capabilities — including LLM-powered analysis, RAG pipelines, and fine-tuned models — to accelerate security research workflows and surface actionable intelligence
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Use your creative mindset to build internal tooling and techniques to counter active cyber attacks
- Leverage cloud compute to enable high-throughput, low-latency analysis of large-scale security datasets
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Collaborate closely with security researchers and data scientists to prototype new detection and investigation capabilities
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Maintain engineering best practices across the platform: CI/CD, automated testing, observability (logging, tracing, alerting), and secure software development lifecycle
- Evaluate and integrate emerging AI frameworks, foundation models, and cloud services to continuously improve platform capabilities and research velocity
What will you need to succeed ?
Must Have:
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5+ years of hands-on software engineering experience, with the majority in Python — including async patterns, packaging, and production-grade service development
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Proven experience designing and deploying cloud-native applications on at least one major cloud provider (AWS, GCP, or Azure), including compute, storage, networking, and IAM
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Solid understanding of RESTful API design and experience building backend services consumed by internal tools or analysts
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Experience building and operating data pipelines at scale — ETL/ELT, streaming or batch, with tools such as Kafka, Airflow, Spark, or cloud-native equivalents
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Practical experience integrating AI/ML capabilities into production systems — whether LLM APIs (OpenAI, Anthropic, etc.), model inference, or ML frameworks (scikit-learn, Pytorch)
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Strong working knowledge of containerization (Docker) and orchestration (Kubernetes or equivalent)
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Familiarity with security concepts — threat intelligence, attack frameworks (MITRE ATT&CK), log analysis, or security tooling — sufficient to engage meaningfully with security researchers
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Demonstrated engineering discipline: version control (Git), CI/CD pipelines, automated testing, and code review practices
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Ability to work independently on ambiguous problems and translate loose research requirements into well-scoped engineering deliverables
Nice to Have:
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Experience building platforms or tooling specifically within a cybersecurity context (SOC, DFIR, Threat Intel, Red Team support)
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Hands-on experience fine-tuning/prompt engineering for domain-specific LLM applications
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Familiarity with OSINT techniques, dark web data sources, or digital crime investigation workflows
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Experience with graph databases for relationship-based threat analysis
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Knowledge of offensive and defensive security tooling
- Contributions to open-source security tooling or research publications
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Experience working in an agile environment embedded with non-engineering domain experts (researchers, analysts, investigators)
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.
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A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
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Leaders who support your development through coaching and managing opportunities
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Ability to make a difference and lasting impact
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Work in a dynamic, collaborative, progressive, and high-performing team
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Flexible work/life balance options
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Opportunities to do challenging work
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Opportunities to take on progressively greater accountabilities
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Opportunities to building close relationships with clients
#LI-POSt
#TECHPJ
Job Skills
Confidentiality, Cyber Security Management, Decision Making, Detail-Oriented, Encryption Software, Group Problem Solving, High Impact Communication, Information Security Management, Information Technology Security, Strategic Thinking
Additional Job Details
16 YORK ST:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-05-15
2026-06-08
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.
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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.
