Leadership)

BMO•Toronto, ON

4d•CA$75,900 - CA$141,900•Onsite

About The Position

Drives the overall software development lifecycle including working across functional teams to transform requirements into features, managing development teams and processes, and conducting software testing and maintenance. Specific project areas of focus includes translating user requirements into technical specifications, writing code and managing the preparation of design specifications. Supports system design, provides advice on security requirements and debugs business systems and service applications. Applies deep knowledge of algorithms, data structures and programming languages to develop high quality technology applications and services - including tools, standards, and relevant software platforms based on business requirements.

Requirements

Strong hands-on experience in enterprise software engineering, including senior or lead-level development responsibility
Strong experience building API services, microservices, and event-driven cloud services
Strong experience with Amazon Web Services, especially Lambda, DynamoDB, EventBridge, CloudWatch, SNS/SQS
Solid understanding of resilience engineering, including retries, idempotency, timeout handling, observability, and recovery design
good understanding of secure software design, including authentication, authorization, encryption, secrets management, and data protection

Nice To Haves

Strong experience with Node.js for service development is preferred.
Experience in payments, wire processing, or financial services platforms is preferred
Experience with AI-assisted software delivery is preferred

Responsibilities

Lead hands-on design and development for payment API services
Build secure, scalable, resilient, event-driven solutions using Amazon Web Services Lambda, DynamoDB, EventBridge, CloudWatch, SNS/SQS…etc.
Design and review solutions for error handling, retries, idempotency, timeout strategies, monitoring, logging, and operational readiness.
Develop cloud-native services using Node.js and serverless patterns where appropriate.
Partner with product, business analysis, quality engineering, architecture, and support teams to deliver robust production-ready solutions.
Support adoption of generative AI for engineering productivity, documentation, design support, and test acceleration.