Software Engineer III - Distributed Software Engineering

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Technology Solutions

Pay Details:
$125,500 - $154,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

CUSTOMER

• Execute on enterprise engineering strategy with a strong focus on distributed software platforms, including the introduction of tooling and automation across build, test, release, configuration, and deployment activities for cloud‑based and hybrid environments (public and private cloud).
• Lead the creation of solution options and end‑to‑end distributed system designs, coordinating with architecture, platform, security, and operations stakeholders using a "build it, break it, fix it" mentality.
• Act as an application and distributed systems SME, responsible for developing and documenting detailed solution designs across the delivery lifecycle, ensuring alignment with enterprise architecture and distributed design principles.
• Be accountable for complex distributed applications and services, including hands‑on development and coding using Java, NodeJS, APIs, and event‑driven components.
• Design and deliver API contracts and event/message schemas that meet business and non‑functional requirements for scalability, resiliency, security, and performance.
• Consult on business requirements and apply domain expertise to design loosely coupled, highly available, message‑driven systems.
• Review technical deliverables to ensure adherence to distributed architecture standards, engineering quality, and platform best practices.
• Identify, recommend, and implement buy / build / reuse solutions to improve customer experience, platform reliability, and cost efficiency.
• Partner with Technology teams to define and monitor performance metrics for distributed applications (latency, throughput, availability, error rates).
• Identify and resolve cross‑service, cross‑data, and cross‑release issues impacting distributed system stability.
• Analyze requirements to recommend event‑driven and API‑led architectures, collecting environment requirements for cloud and platform implementation.
• Collaborate with Architects to ensure distributed systems and cloud infrastructure meet performance, resiliency, and operational readiness standards.
• Contribute to the advancement of the TD engineering practice, particularly in distributed systems, cloud platforms, CI/CD, and event streaming.

• Adhere to enterprise frameworks and methodologies governing distributed and cloud‑native software engineering.
• Ensure programs and practices are well managed, compliant, and aligned to business and platform strategies.
• Shift engineering practices from defect detection to defect prevention through automation and resilient system design.
• Drive continuous improvement and CI/CD automation for distributed delivery pipelines.
• Conduct analysis to assess platform effectiveness, scalability, and cost efficiency.
• Lead code reviews, architecture reviews, and operational readiness reviews to ensure quality, reusability, and production readiness.
• Monitor service health and productivity, driving performance and reliability improvements.
• Manage delivery, operational, and governance risks within a regulated enterprise environment.

• Foster a collaborative, inclusive, high‑performance engineering culture.
• Provide thought leadership in distributed systems, event‑driven architecture, and cloud engineering.
• Stay current on emerging trends in APIs, messaging platforms, CI/CD, and cloud technologies.
• Mentor engineers and support knowledge transfer and capability growth.
• Build strong relationships with internal and external partners to support delivery in highly complex environments.
• Act as a brand ambassador for the engineering function and the bank.

• Expert experience in distributed software environments, including Java, NodeJS, public and private cloud platforms, CI/CD pipelines, Kafka, and event‑driven architectures.
• Deep knowledge of enterprise application platforms, architecture, infrastructure, and security from a design, delivery, and operational support perspective.
• Recognized SME across multiple engineering domains, advising on distributed design patterns, cloud adoption, and messaging strategies.
• Works independently as a senior / lead engineer on complex delivery and operational initiatives

• Undergraduate degree, Post‑Graduate degree, or Technical Certificate.
• Strong academic background in Computer Science, Engineering, or related field.
• Graduate degree is an asset.
• 5-7 years of relevant experience, with demonstrated depth in distributed software engineering.

• Experience using AI‑enabled tools for API, microservices, and Kafka/event‑driven systems, including code and test acceleration, CI/CD automation, schema and contract evolution support, and developer productivity enhancements.
• Familiarity with AI‑driven observability and reliability patterns for distributed platforms, such as anomaly detection, incident triage and RCA assistance, code and security quality analysis, and automated remediation patterns.