Senior FinOps Engineer / Cloud Cost Optimization Lead

Luxoft; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Luxoft in Toronto seeks a Senior FinOps Engineer / Cloud Cost Optimization Lead to build a long-term FinOps capability, driving sustained cloud cost reductions beyond a one-off assessment. This subcontractor role focuses on establishing governance, automation, and proactive cost controls within the Data Platforms group.

Ideal candidates bring hands-on AWS FinOps success, expertise with Cost Explorer and CUR, and strong automation skills in Python and Terraform to embed cost-aware practices into

Qualifications

• Must have hands-on AWS FinOps experience and proven cost savings.
• Proficient with AWS cost management tools (Cost Explorer, CUR, etc.).
• Experience optimizing EMR, EC2, Glue, Athena, S3 and data platform infra.
• Strong Python, SQL, Terraform and infrastructure automation skills.
• Experience operationalizing continuous FinOps practices.

Responsibilities

• Cost optimization across accounts and workloads with measurable targets.
• Implement automated detection of infrastructure waste and remediation workflows.
• Embed cost-efficiency into provisioning, CI/CD, and operations.
• Establish FinOps governance: budgeting, forecasting, reporting, and review cadence.
• Build a sustainable operating model with documented processes and knowledge transfer.

Skills

AWS FinOps

Cost optimization

Terraform

Python

SQL

Automation

Cost management practices

Tools

Cost Explorer

Cost and Usage Reports

Compute Optimizer

Budgets

Cost Anomaly Detection

Job description

Project description

We are looking to engage an experienced Senior FinOps Engineer / Cloud Cost Optimization Lead to help us establish a sustainable cloud cost optimization practice within our Data Platforms group. Our objective is not simply a one-time AWS cost assessment or cleanup. We want to achieve measurable infrastructure cost reductions while establishing a long-term, proactive FinOps capability that continuously identifies, prevents and remediates infrastructure waste. The role is for subcontractors.

Responsibilities

• - Cost Optimization: Analyze AWS spending across accounts, services and workloads; identify optimization opportunities; establish clear dollar reduction targets; and drive implementation of measurable savings.- Proactive Monitoring & Remediation: Implement automated detection of infrastructure waste, underutilized resources, cost anomalies and inefficient configurations, with actionable remediation workflows.- Engineering Automation & Guardrails: Embed cost-efficiency practices into infrastructure provisioning, CI/CD and operational processes to prevent recurring waste.- FinOps Governance: Establish cost ownership, allocation, budgets, forecasting, reporting and a regular operational review cadence.- Sustainable Operating Model: Build a continuous feedback loop for identifying, prioritizing, implementing and validating optimizations, with documented processes, automation and knowledge transfer to our engineering teams.

SKILLS

Must have

• - Strong hands-on AWS infrastructure engineering and FinOps experience, with a demonstrated track record of delivering measurable cost savings.- Expertise in AWS cost management tools (Cost Explorer, Cost and Usage Reports, Compute Optimizer, Budgets, Cost Anomaly Detection, etc.).- Experience optimizing AWS services, particularly EMR, EC2, Glue, Athena, S3 and other data platform infrastructure.- Strong Python, SQL, Terraform and infrastructure automation skills.- Experience establishing and operationalizing continuous FinOps practices, not just performing cost analysis or generating recommendations.- Ability to work directly with engineering teams to implement optimizations and establish sustainable operational processes.

Nice to have

We are particularly interested in candidates who have successfully implemented FinOps capabilities at scale, combining hands-on engineering expertise with automation, operational discipline and measurable financial outcomes.Please share suitable candidate profiles, along with their availability, proposed rates and relevant examples of FinOps implementations or cost optimization outcomes they have delivered.