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Requisition
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
You will be a member of the AI Engineering and Labs team focused on designing and implementing innovative, intelligent software solutions across the Bank’s business lines. Your role will be an integral part of the organization’s AI strategy dedicated to creating value for the Bank and its customers. You will work closely with teams of data scientists, data engineers, product managers, and other software engineers to understand global business partner challenges and processes in order to turn those insights into working software solutions.
Isthis role right for you? In this role, you will:
- You enjoy taking ownership of your work, have a great attention to detail, and pride yourself in delivering scalable, robust, and polished products to the end users.
- You can gather and refine business requirements and transform them into concise technical specifications.
- You can perform independent research, and design efficient solutions which meet specifications, and adhere to the industry's best practices and organizational policies.
- You are an excellent verbal and written communicator who likes to share ideas with the team and who makes it a practice to document designs, deliverables, as well as any other pertinent information such as operational and support runbooks and processes.
- You are a voracious learner who likes to take on new challenges, while simultaneously taking pride in continuous improvement of existing software products, with the goal of providing an outstanding service for our customers.
- You have a knack for deriving insights out of data and applying them to address business opportunities.
- You have a university degree in a relevant STEM discipline. (Electrical/Computer/Software Engineering, Computer Sciences, Mathematics).
- Significant experience in software engineering, system design, and integration.
- Experience developing large applications (Python and microservice architecture are strongly preferred).
- Experience working with databases and key-value data stores (e.g., Postgre
SQL, Redis, Mongo
DB).
Experience using a message broker‑like service (e.g., Rabbit
MQ, Kafka, bonus points for GCP Pub/Sub). - Concrete understanding of HTTP, REST API design and familiarity with other common networking standards and protocols.
- Experience with Machine Learning, LLMs, and Agentic AI [PD1] development (e.g., Lang Chain, Lang Graph, ADK, Lang Smith) is a very strong plus. [DV2]
- Experience with Docker/Docker Compose, Kubernetes, GCP are a very strong plus.
- Experience writing/maintaining Helm Charts (preferable) and working with other IT Automation software (e.g., Ansible, Terraform) is a very strong plus.
- Experience with building/using CI/CD pipelines (e.g., ArgoWF/ArgoCD) is a plus.
- Experience using Linux and proficiency with Dev Ops and tooling.
- Consistent use of version control (e.g., git).
- Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias‑free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
- Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
- Upskilling through online courses, cross‑functional development opportunities, and tuition assistance.
- Competitive Rewards program including bonus, flexible vacation, personal, sick days and…
Position Requirements
10+ Years
work experience
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