Design and deliver cloud cost automation services, implement cost analytics pipelines, integrate third-party APIs, and manage cloud infrastructure while ensuring security and compliance.
RAVL helps technologists accelerate their careers.
At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Our purpose is to build a team that puts real, sustainable business outcomes at the core of everything we do.
We’re here to leave our clients better than we found them, and to create a place where our people are proud to Build. Better.
As a Cloud Optimization Architect at RAVL, you’ll design and deliver the platforms, infrastructure, and automation that power modern engineering teams. You’ll bring deep technical skill, curiosity, and pragmatism - building cloud-native environments that enable velocity, security, and reliability at scale. You’ll automate everything possible, codify environments, and make continuous delivery a reality for RAVL and our clients.
What does success look like in this role?
- Design and deliver cloud cost automation services, reporting pipelines, and governance workflows using Python, SQL, and cloud-native tooling.
- Architect and implement cost analytics pipelines for scale, resilience, auditability, and security.
- Integrate with third-party APIs (ticketing systems, workflow platforms, cloud billing APIs) to automate cost allocation, optimization actions, and governance processes.
- Build and maintain backend services and automation scripts for operational reporting, anomaly detection, and cost optimization tracking.
- Develop and optimize relational database schemas and queries for cost and usage data.
- Apply secure coding practices, secrets management, RBAC controls, and compliance-aware automation.
- Package, deploy, and support production automation workloads on Linux environments.
- Use CLI-based cloud tooling (aws, az, gcloud) and JSON data processing to extract, transform, and operationalize billing and usage data.
- Demonstrate a bias for action: ship incremental improvements, iterate rapidly, and make financial impact visible.
- At higher levels: mentor engineers, define FinOps governance models, influence cloud strategy, and shape enterprise cost optimization roadmaps.
Great, but do my skills fit?
- Strong programming skills in Python for backend services and automation.
- Solid SQL expertise with hands-on relational database design and performance tuning.
- Experience building and maintaining data pipelines and automation scripts for operational and financial reporting.
- Experience integrating with third-party APIs (cloud billing APIs, ticketing/workflow systems).
- Proficiency with Azure, AWS, and GCP and core infrastructure services.
- Strong understanding of cloud cost optimization strategies, FinOps practices, and governance workflows.
- Scripting expertise in Bash and/or PowerShell.
- Familiarity with CLI-based cloud tooling (aws, gcloud, az) and JSON data processing.
- Knowledge of secure configuration, IAM, encryption, RBAC, and secrets management practices.
- Experience deploying and operating production workloads in Linux environments.
- Strong troubleshooting, monitoring, and incident response skills in distributed cloud systems.
- Comfortable working cross-functionally with engineering, operations, and finance stakeholders.
- Clear written communication and documentation skills for runbooks, financial process handoffs, and operational playbooks.
Mindset Traits
- Delivery-first and outcome-oriented (get-shit-done mentality).
- Creative and open to new approaches in cost optimization and automation.
- Comfortable working in ambiguity and creating financial clarity from complex cloud usage data.
- Influential presence: able to shape direction as a trusted outsider in client environments.
- Operates as a high-performing remote consultant, ensuring work is visible, transparent, and uplifting to peers.
- Demonstrates RAVL’s higher performance bar: curiosity, delivery excellence, emotional awareness, and adaptability.
Non-Negotiables (Required Technical Skills)
- Python (production-grade backend and automation development)
- SQL (advanced querying and relational database design)
- Bash and/or PowerShell
- Cloud platforms: at least two of AWS, Azure, GCP (all three preferred)
- Cloud cost management and FinOps implementation experience
- Cloud CLI tooling (aws, az, gcloud)
- Security fundamentals: IAM, RBAC, encryption, secure configuration, secrets management
- Linux-based deployment and support of automation workloads
Candidates must demonstrate proficiency in all of the following:
(Candidates missing these will not be considered further.)
Certifications (Nice to Have)
- FinOps Certified Practitioner
- AWS Solutions Architect (Associate/Professional)
- Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Certified Kubernetes Administrator (CKA)
- Certified Information Systems Security Professional (CISSP)
Top Skills
AWS
Azure
Bash
GCP
Powershell
Python
SQL
RAVL Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Bilingual Incident Coordinator manages customer service functions related to fraud and identity theft incidents, providing client support and overseeing project tasks within a dynamic environment.
Top Skills:
Claims Management SystemsMs Office SuiteReporting Systems
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Software Engineer will drive business growth by building and scaling products for customer acquisition, lead management, and AI tools, collaborating cross-functionally with marketing and sales to innovate and impact revenue generation.
Top Skills:
AWSFlaskJavaScriptPythonVue
Fintech • Machine Learning • Payments • Software • Financial Services
The Manager of Tech Recruiting will lead recruitment strategies, partner with senior leaders, and foster a collaborative team culture to drive hiring outcomes.
Top Skills:
Recruiting AnalyticsTechnical Recruiting
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
