Application Deadline:

06/28/2026

Address:
33 Dundas Street West

Job Family Group:

Technology

Develops scalable and accessible business cloud applications. Focuses on the technical design, development, enhancement, testing, debugging and maintenance of Cloud applications and supports the design of business processes in the cloud. Applies expertise and in-depth understanding of managed services environments, next-generation databases and, developer tools. Migrates existing applications to the cloud, and modifies existing applications for the cloud, or builds new cloud-native applications.

• Creates and maintains various applications using different types of programming languages.
• Integrates data sources and identifies the kinds of problems that can arise due to incompatibility or security concerns.
• Designs, configures and implements the cloud-native software that solves actual business problems using cloud technology.
• Maintains applications and infrastructure for cloud-based platforms.
• Supports the creation of strategies to enhance the performance of existing cloud technologies.
• Develops workflows and processes following best practices and the cloud architecture.
• Understands specific cloud resources, services, architectures and service-level agreements in order to create scalable and extensive software products.
• Creates instructions for cloud computing operations and documentation.
• Establishes a development environment and continuous integration pipeline. Utilizes modern application patterns and code efficiency.
• Translates user needs into technical specifications by understanding, conceptualizing, and facilitating technical requirements from users.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualification:

• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.
• Strong expertise in AWS cloud services (Lambda, API Gateway, DynamoDB, S3, ECS/EKS) and designing scalable, serverless, and event-driven architectures.
• Proficient in Node.js development with solid experience building and maintaining high-performance APIs and microservices.
• Hands-on experience with Infrastructure as Code (AWS CDK, CloudFormation, Terraform) and CI/CD pipelines (GitHub Actions, Jenkins, Code Pipeline).
• Good understanding of API design (REST, OpenAPI) and backend best practices (modular design, testing, performance tuning).
• Strong knowledge of AWS security (IAM, encryption, VPC, secrets management) and cloud best practices.
• Experience with monitoring and observability (CloudWatch, logging, alerting) and system reliability.
• Solid DevOps mindset with focus on automation, deployment strategies, and operational excellence.
• Proven technical leadership with experience in solution design, code reviews, mentoring, and Agile delivery.

Nice to have:

• Familiarity with AI/ML and Generative AI concepts and their application in enterprise systems
• Experience building or integrating AI-powered solutions
• Knowledge of LLM integration patterns (e.g., prompt engineering, embeddings, vector databases)
• Experience working with AI services such as AWS Bedrock, OpenAI, Azure AI, or similar platforms
• Understanding of responsible AI practices, including data privacy, bias mitigation, and model governance
• Ability to identify opportunities to embed AI capabilities into APIs and platform services

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards