Point Digital Finance, Inc.
Finance
Sr.DevOpsEngineer(EngineeringProductivity)
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“Sr. DevOps Engineer (Engineering Productivity) at Point Digital Finance, Inc.. Skills: DevOps, Platform Engineering, Cloud Infrastructure, CI/CD, Infrastructure as Code, Developer Productivity Tooling, AI/ML Operations. Build and maintain internal developer productivity tooling — dashboards, metrics, and measurement frameworks. Instrument token consumption and model cost across agentic workflows”
What You'll Achieve.
Measure and accelerate engineering productivity; Ensure availability and reliability of business systems; Provide visibility and support cost optimization for AI coding agent usage; Enable fast, safe, and repeatable deployments
Industry & Context.
Eliminating friction across our Secure SDLC; Identify and reduce friction across the Secure SDLC; Streamlining SAST/DAST integration, compliance tooling, and security scanning
100% remote position, Candidates currently based in Canada, Legally authorized to work in Canada, Reside in Canada
What They're Looking For.
Must Have
5+ years of experience in Platform Engineering, DevOps, or Cloud, Bachelor's or Master's in Computer Science, Engineering, or a related technical field, Demonstrated experience building internal developer productivity tools and metrics systems (e. g. , DORA metrics, cycle time, deployment frequency, engineering throughput), proficiency in at least one programming language (Python, Go, TypeScript, or similar) for building automation and internal tooling, Practical experience using AI coding agents (Claude Code, Cursor, GitHub Copilot, or similar) as part of your own engineering workflow, Hands-on experience with AWS services including compute (ECS, EKS, EC2, Lambda), storage (S3), data (RDS, Redis), and governance and identity (Control Tower, IAM), Hands-on experience building and maintaining CI/CD workflows using GitHub Actions, Solid experience with Infrastructure as Code using Terraform or similar tools (AWS CDK, CloudFormation)
Nice to Have
Experience managing or evaluating LLM hosting platforms such as AWS Bedrock — including model selection, token cost optimization, and multi-model evaluation frameworks, Experience building tooling to support agentic or multi-agent AI workflows (session tracking, cost attribution, observability)
What You'll Do.
Build and maintain internal developer productivity tooling — dashboards
and measurement frameworks
Instrument token consumption and model cost across agentic workflows
Establish availability monitoring and alerting across all business systems and internal applications
Develop SOPs for detecting and responding to disruptions
Identify and reduce friction across the Secure SDLC
and improve AWS cloud infrastructure
and continuously improve CI/CD pipelines
Develop and maintain Infrastructure as Code
Evaluate and optimize AI model hosting on AWS Bedrock
Drive adoption and standardization of AI coding agent tooling
Evaluate emerging AI tools
How You'll Work.
Team & Collaboration
Partner with Security to deploy and operate SAST, DAST, and SIEM solutions
Full Job Description
This is a 100% remote position open only to candidates currently based in Canada. Applicants must be legally authorized to work in Canada and reside in the country. About Point ✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals. ✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us at a pivotal stage. ✨ Game-changing Product: We're building a category defining company in home equity. We’ve earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers. ✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area. ✨ Remote First Culture, Genuine Connection: Work from anywhere in Canada, while staying closely connected through virtual collaboration, team gatherings, and a people-first culture. About the role Point is transforming homeownership through innovative financial products — and we're doing it with an engineering organization that's going AI-native. We're looking for a Senior DevOps Engineer to sit at the center of that transformation: building internal tooling to measure and accelerate engineering productivity, ensuring the availability and reliability of our business systems, and eliminating friction across our Secure SDLC. Your responsibilities Build and maintain internal developer productivity tooling — dashboards, metrics, and measurement frameworks that surface engineering throughput, cycle time, and quality signals Instrument token consumption and model cost across agentic workflows (task type, epic, user) to provide visibility and support cost optimization as we scale AI coding agent usage Establish availability monitoring and alerting ac
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