Application Deadline:

08/13/2026

Address:
100 King Street West

Job Family Group:

Technology

Senior Technical Lead

This is a unique opportunity to lead the design, delivery, stability, and continuous improvement of strategic platforms while working with cutting-edge technologies including Generative AI, OpenSearch, Dynatrace, Oracle/SQL, Mainframe ecosystems, cloud technologies, APIs, and enterprise-scale production environments.

As a technical leader, you'll influence platform strategy, guide engineering teams, solve complex business and technology challenges, and help shape the future of digital banking at one of North America's leading financial institutions.

What You'll Do

As a Senior Technical Lead, you will:

• Lead the design, development, modernization, and optimization of business-critical platforms and applications.
• Drive platform stability, scalability, performance, security, and operational excellence across the technology ecosystem.
• Partner with business stakeholders, product teams, architects, and engineering leaders to define platform strategy, roadmaps, and execution plans.
• Build and implement innovative solutions leveraging Generative AI capabilities to improve productivity, operational efficiency, monitoring, search, and customer experiences.
• Utilize Dynatrace and observability best practices to proactively monitor system health, identify issues, improve performance, and enhance reliability.
• Design and support enterprise search solutions utilizing OpenSearch and related search technologies.
• Support and optimize applications leveraging Oracle/SQL databases, ensuring performance, integrity, and scalability.
• Collaborate across modern and legacy technology environments, including Mainframe systems, batch processing frameworks, and distributed applications.
• Provide leadership and expertise for production support activities, incident management, root-cause analysis, and problem resolution.
• Drive automation initiatives that improve operational efficiency, platform resilience, and service quality.
• Lead the implementation and management of APIs and platform integrations while ensuring security, resilience, and scalability.
• Analyze platform performance, adoption trends, and operational data to identify opportunities for optimization and continuous improvement.
• Guide development teams through all phases of the Software Development Lifecycle (SDLC).
• Mentor developers and promote engineering excellence, innovation, and continuous learning.

Key Responsibilities

• Build strong relationships with business and technology stakeholders to understand platform vision and align delivery with strategic objectives.
• Prioritize, manage, and support a portfolio of customer-facing and internal platform initiatives.
• Monitor platform health, adoption metrics, service performance, and operational effectiveness.
• Document business rules, process flows, technical designs, architecture decisions, and functional specifications.
• Analyze platform data to drive enhancements, performance improvements, and operational efficiencies.
• Evaluate emerging technologies and recommend solutions that strengthen BMO's technology capabilities.
• Ensure compliance with service level agreements, support standards, security policies, and regulatory requirements.
• Manage technical requirements including API integrations, platform services, and supporting infrastructure components.
• Work independently while leading complex initiatives and navigating ambiguity.
• Provide specialized consulting, technical leadership, analytical expertise, and production support guidance.
• Apply BMO's Risk Management Framework and ensure all solutions align with security, governance, compliance, and operational standards.

Technical Skills & Experience

Required Skills

• 5-7+ years of experience in software development, platform engineering, application support, or related technology roles.
• Strong experience designing, building, and supporting enterprise-scale software solutions.
• Experience working with Generative AI solutions, including AI-powered automation, developer productivity tools, and emerging AI technologies.
• Strong understanding of Large Language Models (LLMs), prompt engineering, AI-assisted workflows, and enterprise AI adoption.
• Experience with Dynatrace or similar observability and application performance monitoring platforms.
• Experience implementing and supporting OpenSearch/Elasticsearch solutions.
• Strong expertise in Oracle, SQL, and database design, optimization, and performance tuning.
• Experience supporting and integrating Mainframe applications and infrastructure.
• Strong understanding of batch operations, scheduling frameworks, and enterprise processing environments.
• Proven experience providing production support, incident management, problem management, root-cause analysis, and operational excellence.
• Experience designing and supporting APIs, microservices, and enterprise integrations.
• Strong understanding of system architecture, application design, and distributed systems.
• Experience working within Agile, DevOps, and CI/CD environments.
• Knowledge of cloud computing platforms and cloud-native architectures.
• Experience implementing secure software development practices and cybersecurity principles.
• Strong understanding of monitoring, logging, observability, and operational support best practices.

Leadership & Professional Qualifications

Technical Competencies

• System Design and Implementation
• API Management and Integration
• Product Design and Development
• Test Driven Development (TDD)
• DevOps Practices
• Cloud Computing
• Data Collection and Analysis
• Cybersecurity and Privacy Principles
• New Product Development
• Continuous Improvement Management
• Platform Engineering and Operations

Leadership Competencies

• Building and Managing Relationships
• Learning Agility
• Creative Thinking
• Emotional Agility
• Strong Decision Making
• Managing Ambiguity
• Strategic Thinking
• Cross-Functional Collaboration
• Stakeholder Management
• Influencing and Leadership Skills

Professional Skills

• Exceptional analytical and problem-solving abilities.
• Strong verbal and written communication skills.
• Ability to communicate effectively with technical and non-technical audiences.
• Data-driven decision-making mindset.
• Strong collaboration skills with a focus on cross-functional partnerships.
• Ability to balance strategic thinking with hands-on technical execution.

Qualifications

• Typically 5-7 years of relevant experience with a post-secondary degree in Computer Science, Engineering, Information Technology, or a related discipline, or an equivalent combination of education and experience.
• Deep technical expertise developed through extensive hands-on engineering and business experience.
• Experience working within large enterprise or highly regulated environments is considered an asset.
• Financial services industry experience is preferred.

Work Arrangement

Hybrid Role: 2 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 view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

If you're passionate about technology leadership, platform engineering, operational excellence, and leveraging AI to drive the future of banking, we'd love to hear from you.