Senior Application Developer

BMO•Calgary, AB

1d•Hybrid

About The Position

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.

Requirements

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.
Java, Spring Boot
Microservices, distributed systems
APIs, MQ, Kafka, SFTP; REST, JSON, XML
Oracle SQL
AWS (EC2, EKS, Lambda, S3, RDS, Redshift, Bedrock)
Full SDLC ownership, SIT/UAT
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.
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.

Nice To Haves

banking or financial services experience preferred.

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.