Job Description
As a Software Engineer at BMO, you will be a hands‑on contributor across the full software development lifecycle, designing, building, and supporting secure, scalable applications.
You will work closely with business and technology teams to translate requirements into high‑quality solutions using modern engineering practices, cloud platforms, integration technologies, and emerging AI‑assisted development tools.
Key Responsibilities
Deliver end‑to‑end software solutions across the SDLC, including design, development, testing (SIT/UAT), deployment, and production support.
Build and maintain applications using Java and Spring Boot in a microservices and cloud‑native environment.
Develop system and application integrations using RESTful APIs, MQ, Kafka, and SFTP (JSON/XML).
Write, optimize, and maintain data access logic using Oracle SQL.
Ensure solutions meet enterprise standards for security, resiliency, performance, logging, and observability.
Troubleshoot, debug, and resolve complex application issues across development and production environments.
Support release management, version control, and continuous improvement initiatives.
Collaborate effectively with cross‑functional teams across technology and the business.
Use AI tools to analyze existing code, understand system behavior, and accelerate onboarding into new applications and domains.
Leverage AI for code generation, test creation, debugging, and documentation support, while retaining ownership of final design and implementation decisions.
Apply AI to assist with troubleshooting errors, logs, and defects to improve productivity and speed issue resolution.
Validate and review AI‑generated output to ensure correctness, security, performance, and long‑term maintainability.
Use AI as a learning aid to stay current with new technologies, frameworks, and engineering best practices.
Required – AI Capabilities
Hands‑on experience using AI‑assisted coding or developer productivity tools, such as Microsoft Copilot, GitHub Copilot, or similar tools.
Strong judgment when reviewing and validating AI‑generated code, tests, designs, and technical recommendations, ensuring alignment with enterprise quality and security standards.
Clear understanding of responsible and secure AI usage in an enterprise environment, including data privacy, intellectual property considerations, and secure software development practices.
Qualifications & Experience
4–6 years of software development experience, with a related degree or equivalent experience.
Hands‑on, recent experience (within the last 3 months) using the core technology stack listed below.
Ability to clearly explain what you built, your role, and the impact of your solutions.
Strong problem‑solving, communication, and collaboration skills.
Technical Skills
Languages & Frameworks: Java, Spring Boot
Architecture: Microservices
Integration: APIs, MQ, Kafka, SFTP; REST, JSON, XML
Databases: Oracle SQL
Cloud: AWS (EC2, EKS, Lambda, S3, RDS, Redshift, Bedrock)
SDLC & Testing: SDLC execution, SIT/UAT
AI & Cloud Experience
AI / GenAI experience within the last 3 months, applying AI to real business or technical problems, integrating AI/ML/GenAI into applications, or using AI services and APIs (e.g., Microsoft Copilot, ChatGPT, Claude).
AWS experience within the last 12 months, including deploying, hosting, or supporting applications in an AWS environment.
Work Model
Hybrid – 2–3 days per week in office
Salary $61,600.00 - $113,900.00
Pay Type Salaried
BMO is committed to an inclusive, equitable and accessible workplace.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
To request accommodation, please contact your recruiter.
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