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Senior Application Developer

bmo

Calgary, CAonsite$76k-$142k/yrPosted May 12, 2026

At a glance

Highlights

  • Hybrid work model
  • Competitive salary range
  • Focus on AI‑assisted development
  • Large enterprise banking environment

Why this role might suit you

The role offers a senior engineer the chance to lead complex, cloud‑native Java applications within a major financial institution, leveraging cutting‑edge AI tooling and a broad AWS stack while working in a hybrid setting.

Skills

javaspring-bootmicroservicesapismqkafkasftprestjsonxmloracle-sqlawsec2ekslambdas3rdsredshiftbedrockmicrosoft-copilotgithub-copilotchatgptclaudeaigenai

About the role

Application Deadline:

05/30/2026

Address: 401 9th Avenue SW, Suite 1930

Job Family Group:

Technology

As a Senior Software Engineer at BMO, you will be a hands‑on technical leader responsible for the design, development, and ownership of complex, enterprise‑grade applications and services. You will lead end‑to‑end technical solutions, guide teams through ambiguity, and ensure the delivery of secure, scalable, and business‑aligned systems within a modern cloud and microservices ecosystem.

This role combines deep technical expertise with strong leadership, mentorship, and accountability for solution quality and outcomes.

Key Responsibilities

Own the design, development, and ongoing health of complex applications or services, taking accountability for technical quality, resiliency, and performance.

Lead end‑to‑end technical design, translating business requirements into scalable, secure, and maintainable solutions.

Design and build applications using Java and Spring Boot within a microservices and cloud‑native architecture.

Lead and support application integrations using APIs, MQ, Kafka, and SFTP (RESTful services, JSON, XML).

Develop and optimize data solutions using Oracle SQL.

Use AI‑assisted tools to analyze large or complex codebases, identify technical debt, and assess cross‑system impacts during design, modernization, and change initiatives.

Apply AI to accelerate solution design exploration, architecture evaluation, prototyping, and test strategy improvement.

Leverage AI during complex production issue analysis, incident triage, and root‑cause investigations to reduce mean time to resolution and improve system reliability.

Troubleshoot and resolve complex system issues, leading root‑cause analysis and implementing long‑term fixes.

Set and enforce engineering standards for code quality, testing (SIT/UAT), security, performance, and SDLC best practices.

Provide technical leadership and mentorship to junior and intermediate engineers across coding standards, solution design, testing practices, and modern engineering approaches.

Mentor and guide engineers on the effective, responsible, and judicious use of AI throughout the software development lifecycle.

Guide teams through technical ambiguity, helping define direction, trade‑offs, and implementation approaches.

Collaborate with business partners, architects, and product teams to ensure solutions are aligned with business priorities.

Contribute to continuous improvement of engineering processes, tools, and delivery practices.

Leadership & Ownership Expectations

Demonstrated ownership of applications or services, with the ability to clearly explain what was built, your role, and the business and technical impact delivered.

Experience setting clear expectations for development quality, delivery timelines, and engineering best practices.

Proven ability to influence technical decisions and raise the bar for team performance, system quality, and operational excellence.

Experience working in enterprise environments; banking or financial services experience preferred.

Ability to set the standard for responsible AI usage, including adherence to data privacy, security, and regulatory compliance expectations.

Required AI Capabilities

Hands‑on experience using AI‑assisted coding or developer productivity tools, such as Microsoft Copilot, GitHub Copilot, or similar tools, in day‑to‑day development workflows.

Strong judgment and accountability in reviewing, validating, and refining AI‑generated code, designs, and technical recommendations to ensure correctness, security, maintainability, and alignment with enterprise standards.

Solid understanding of responsible, ethical, and secure AI usage in an enterprise environment, including data privacy, intellectual property protection, regulatory considerations, and secure software development practices.

Qualifications & Experience

6+ years of professional software development experience, with a related post‑secondary degree or equivalent experience.

Hands‑on experience delivering production systems in large, complex enterprise environments.

Strong communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders.

Technical Skills

Languages & Frameworks: Java, Spring Boot

Architecture: Microservices, distributed systems

Integration: APIs, MQ, Kafka, SFTP; REST, JSON, XML

Databases: Oracle SQL

Cloud: AWS (EC2, EKS, Lambda, S3, RDS, Redshift, Bedrock)

SDLC & Testing: Full SDLC ownership, SIT/UAT

AI & Cloud Experience

Recent AI / GenAI experience (within the past 3 months) using AI to solve real technical or business problems, including:

AI‑assisted code analysis, refactoring, and technical debt assessment

AI‑enabled design exploration, prototyping, and test strategy improvement

AI‑supported production issue investigation and root‑cause analysis

Experience integrating AI/ML/GenAI tools or consuming AI services and APIs (e.g., Microsoft Copilot, ChatGPT, Claude).

AWS experience within the past 12 months, including deploying, hosting, and supporting applications in AWS‑based environments.

Work Model

Hybrid – 2–3 days per week in office

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 details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

Compensation

This Software Engineer role pays $76k-$142k/yr. Within typical range for software engineer roles in Canada.

Questions about this role

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