Platform Engineering Manager

Overview

Join one of Canada's leading asset managers as a Platform Engineering Manager within our Information Systems team. We focus on building strong, integrated technology platforms that empower investment, operations, and client-facing teams through reliability and efficiency. This managerial position involves hands-on leadership guiding a team dedicated to system integration, automation, and control foundational to systematic investment operations.

Key Responsibilities

• Lead, mentor, and work closely with a small team of engineers specializing in platform system integration and reliability.
• Establish practical engineering standards for observability, service level objectives (SLOs), incident management, deployment safety, infrastructure as code, and production readiness.
• Architect and enhance resilient integrations across APIs, event streams, batch file transfers, data workflows, vendor platforms, and hybrid or cloud environments.
• Develop infrastructure supporting systematic investment middle and back-office functions including workflow orchestration, data quality controls, reconciliations, exception handling, data lineage, and audit trails.
• Create automation and AIOps solutions to minimize manual interventions, improve incident detection and recovery, and ensure production safety.
• Take leadership in resolving the most complex incidents related to reliability, integration, and production control.
• Collaborate with investment, operations, risk, data, applications, infrastructure, and vendor teams to implement reusable and reliable engineering patterns.
• Enhance observability by improving signal quality, reducing noise, and shortening the time needed to detect and remediate incidents.
• Exhibit calm, authoritative technical leadership particularly during difficult system incidents.

Qualifications and Experience

• Strong hands-on expertise in at least two areas: site reliability engineering, platform engineering, observability, systems integration, production data engineering, release engineering, or automation in production.
• Experience with production observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry, ELK/OpenSearch, or Azure Monitor.
• Solid grasp of distributed systems and integration patterns including API design, event-driven architecture, batch/file processing, data flows, failure handling, idempotency, and vendor interactions.
• Proficiency with CI/CD pipelines, infrastructure as code, containerization, orchestration tools, and modern deployment methodologies.
• Background in infrastructure design, controls, and automation relevant to investment management, middle/back-office operations, enterprise data platforms, or other highly available, regulated contexts.
• Good judgement on managing data quality, reconciliation, exception handling, lineage, audit requirements, and release governance without compromising delivery efficiency.
• Experience in engineering leadership through design reviews, mentorship, pairing, and providing constructive feedback.
• Familiarity with orchestration and process management tools like ServiceNow, Camunda, Temporal, Argo, Airflow, Dagster, dbt, or Celonis is an advantage.
• Knowledge of systematic investment, trading workflows, portfolio management, IBOR/ABOR systems, and vendor platforms such as SimCorp, BlackRock Aladdin, or Arcesium is desirable.
• Exposure to cloud platforms (Azure), data technologies (Snowflake, Databricks), cloud-native monitoring, operational data platforms, automation frameworks, and AI/AIOps use cases is a plus.

Compensation and Additional Information

The base salary range for this role is CAD 140,000 to 160,000 annually, supplemented by an annual performance bonus contributing to total compensation. This position supports a hybrid work environment combining remote and in-office days.

Equal Opportunity and Recruitment Process

We are committed to diversity and inclusion, offering equal employment opportunities regardless of gender, ethnicity, religion, sexual orientation, disability, or age. Hiring decisions do not involve AI at any stage; applications are assessed solely by our recruitment team.