Role Overview

We’re seeking a Senior Cloud FinOps Engineer to join the Shared Services Engineering team at Magnet Forensics. Reporting to the Director of the Shared Services group, you’ll enable cloud and AI cost visibility, forecasting, and optimization across our AWS, Azure, and AI environments, and build the tooling and processes that give engineering and finance teams the data they need to make positive decisions.

This is an engineering‑first role. You will analyze, automate those analyses, make concrete engineering recommendations, and leverage AI to operate more efficiently and effectively. You’ll operate with significant autonomy and have real influence over how we manage and optimize a material cloud investment.

What You’ll Do

- Own cloud cost visibility across AWS and Azure: maintain tagging hygiene, virtual cost allocation, and the tooling (Finout and related) that surfaces accurate spend by product, team, and workload.
- Identify and enable and/or drive cost savings measures.
- Automate workflows for routine activities like bill reconciliation and payment.
- Enhance and maintain budget forecasting capability so we can forecast monthly with high accuracy and low overhead.
- Evolve unit economics frameworks: instrument the pipeline that collects product telemetry, routes it to cost allocation tooling, and produces dashboards that show cost‑per‑unit across relevant dimensions.
- Make recommendations for Savings Plans and Reserved Instances across AWS services (EC2, RDS, OpenSearch, and others), and track realized savings.
- Monitor for cost anomalies and optimization opportunities: maintain alerting and review cadences that surface anomalies early, and drive remediation with the relevant engineering teams.

What We’re Looking For

- 2+ years of industry experience with meaningful depth in cloud cost management, Financial Operations (FinOps), or cloud platform engineering with a strong cost focus.




- Hands‑on experience with AWS cost and billing: understands the structure of AWS invoices, Cost Explorer, Cost and Usage Reports (CUR), and how tagging strategies affect cost allocation accuracy.
- Experience with Azure cost management is also an asset.
- Familiarity with AI cost concepts.
- Familiarity with cloud infrastructure concepts that affect costs and modelling.
- Builds tooling that automates financial and/or analysis workflows — not just monitored or maintained dashboards someone else built.
- Works with a FinOps platform (Finout, Apptio Cloudability, CloudHealth, or similar) beyond basic reporting: understands virtual tagging, allocation rules, and how to get accurate per‑product cost visibility from messy shared infrastructure.
- Develops and executes a savings plan or reservation strategy: has analyzed usage, modeled commitment options, made a recommendation, and tracked the outcome.
- Writes code or scripting to automate workflows: Python, Bash, or equivalent.
- Leverages AI to responsibly accelerate analysis and tooling creation.
- Communicates clearly across technical and financial audiences: can explain cost drivers to an engineer and budget variances to a finance partner without losing either audience.
- Brings a continuous improvement mindset: identifies toil, proposes fixes, and follows through — takes ownership with minimal direction.
- Must be able to operate within approximately Eastern Time Zone hours.

Compensation & Benefits

$130,000 – $180,000 CDN a year.

Salary range (min – max)





Position Type: New Position.

- Generous time off policies.
- Competitive compensation.
- Volunteer opportunities.
- Reward and recognition programs.
- Employee committees & resource groups.
- Healthcare and retirement benefits.

Equal Opportunity Statement

Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact (email protected) should you require any accommodations.

All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.

US Applicants: Magnet Forensics participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S.

Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy.

Magnet does not use artificial intelligence (defined as a machine‑based system that infers from input to generate outputs such as predictions, content, recommendations, or decisions) for screening, assessing, or selecting applicants. Should this practice change, we will update this disclosure accordingly.

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📌 Senior Cloud FinOps Engineer (Toronto)
🏢 Magnet Forensics
📍 Toronto