Our Global Cybersecurity Services – Observability team is building next‑generation security telemetry and observability capabilities at massive scale — and we’re looking for a
Cloud Platform Engineer
who enjoys solving complex technical problems, building distributed systems, and enabling global threat detection teams.
In this role, you’ll help design and evolve our
cloud‑native cybersecurity observability platform, with a focus on SIEM (e.G., Microsoft Sentinel) and enterprise-wide data onboarding. You’ll work on event pipelines that process
terabytes of security‑critical transaction data every day, ensuring reliability, performance, and visibility across a global footprint.
This is
not
an operations role and
not
a SIEM analyst position.
You will build, automate, and innovate — creating secure, scalable telemetry infrastructure that directly powers threat detection and incident response.
Team:
Global Cybersecurity Services
Office Location:
Toronto – Canada
Work Arrangement:
Hybrid (3 days in office, 2 days from Home)
Role Type:
Full‑Time Permanent (Associate–Intermediate Level)
Position ResponsibilitiesBuild & Evolve High‑Scale Cybersecurity Observability Platforms
Contribute to the design and enhancement of our global SIEM ingestion and observability platform, supporting multi‑terabyte/day data flows across cloud, identity, network, and application domains.
Help engineer scalable pipelines for high‑volume logs, structured/unstructured event data, and real‑time telemetry.
Develop reliable and performant architectures for global ingestion across regions, tenants, and business units.
Engineer, Automate,



and Solve Deep Technical Problems
Build internal frameworks, APIs, automation tooling, and CI/CD pipelines that simplify log onboarding and data processing at scale.
Tackle technical challenges around throughput, schema consistency, enrichment, latency, retention optimization, and resource efficiency.
Implement self‑service capabilities that allow engineering teams to onboard high‑volume data sources with minimal friction.
Elevate Threat Detection Through Better Telemetry
Partner with detection engineers, threat hunters, and incident responders to ensure high‑quality, high-context, high-volume data is available for analytics.
Contribute to event standards, logging schemas, and practices that strengthen security visibility.
Help tune data pipelines and storage layers to maximize signal quality and reduce noise.
Drive Best Practices Across Global Engineering & Security Teams
Advocate for modern observability, cloud‑native logging, and zero‑trust telemetry patterns.
Encourage resilient, scalable, and cost‑efficient telemetry practices across engineering teams.
Provide technical guidance on cloud data flows, event processing, and distributed logging architectures.
Required Qualifications
You are an engineer who builds platforms,



solves problems, and thrives in complex, evolving technical environments.
You’re not looking for runbooks — you want to create systems that others rely on.
You’re a outstanding fit if you enjoy designing or contributing to distributed systems and high‑volume pipelines, are energized by ambiguity and engineering challenges, love building automation and developer‑facing tooling, understand the importance of security visibility and high‑quality telemetry, and want to bring engineering excellence to global cybersecurity.
Experience with at least one major cloud platform (Azure strongly preferred).
Ability to design, operate, or support high‑volume data processing systems (terabyte‑scale experience is a plus, not a requirement).
Hands‑on experience with infrastructure‑as‑code (Terraform, Bicep, Pulumi).
Proficiency in automation/scripting (Python, PowerShell, Bash, Go).
Understanding of distributed systems, cloud networking, and data architecture.
Experience integrating or onboarding large or complex data sources (structured or unstructured).
Preferred Qualifications
Familiarity with SIEM platforms (Microsoft Sentinel preferred).
Experience with OpenTelemetry, OCSF, or other telemetry standardization approaches.
KQL, SQL, or similar query experience.
Exposure to detection engineering or SOC workflows.
Experience with event streaming systems (Event Hubs, Kafka).
Background in performance tuning, cost optimization, or SRE practices.
When You Join Our Team
We’ll empower you to learn and grow the career you want.

📌 Cloud Platform Engineer (Toronto)
🏢 Manulife Financial
📍 Toronto