Senior Manager Engineering - Distributed systems

*
* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Technology Solutions
** Pay Details:**$149,500 - $183,500 CADThe 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  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:

**** Key Accountabilities
**** Customer / Delivery
*** Lead a distributed engineering organization delivering
** APIs and message-driven services**, ensuring consistent execution across design, build, test, and deployment.
* Own the creation of
** solution options
** and guide the team toward a comprehensive
** end-to-end design**, coordinating stakeholders across product, architecture, and platform functions.
* Promote a strong engineering mindset grounded in iterative learning (e.g., “build it, break it, fix it”), ensuring quality is designed-in and validated early.
* Ensure delivered solutions meet defined requirements for
** performance, availability, resiliency, security, and enterprise architecture alignment**.
* Establish and evolve engineering best practices for
** API lifecycle management**,
** event-driven integration**, and test automation.
** Engineering Excellence / Shareholder
*** Execute on engineering strategy related to
** tooling adoption and automation
** for build/test/release/configuration pipelines.
* Drive governance and technical review rigor including
** solution design reviews, code reviews, operational readiness reviews, and deployment gating**.
* Define engineering metrics and performance goals (e.g., quality, throughput, stability, reliability) and use them to drive continuous improvement.
* Ensure adherence to enterprise frameworks, policies, risk practices, and regulatory expectations in a large, regulated environment.
** Operations (Large-Scale Production & Support)
*** Ensure team accountability for
** operational readiness
** and
** production stability**, including incident management practices, root-cause analysis, and preventative remediation.
* Partner with operations and platform teams to improve reliability and reduce operational toil through automation and improved observability.
* Establish clear ownership for service health, including production issue triage and escalation paths.
** People Leadership (Manager of ~25)
*** Lead, coach, and develop a team of ~25 engineers, creating a culture of
** accountability, learning, inclusion, and high performance**.
* Provide career development, mentorship, and performance coaching; build succession and capability plans across the team.
* Build strong cross-functional relationships and act as a trusted partner to stakeholders across business and technology.
** Must-Have Qualifications**
* ** People management experience
** leading software engineering teams at scale (team leadership, coaching, performance management, and delivery accountability), ideally in a distributed or matrixed environment.
* Strong prior engineering background delivering
** distributed applications
** and service-based architectures, including:  +
** Java**,
** NodeJS** (or comparable modern backend runtime)  +
** Event streaming / messaging
** such as
** Kafka** (or equivalent)  + API development patterns (RESTful APIs, service contracts, integration patterns)
* Demonstrated ability to lead teams through the full lifecycle:
** design → code → test → deploy → operate**, including delivery governance and quality practices.
* Experience driving
** automation
* * across CI/CD pipelines and engineering workflows…