Point Digital Finance, Inc. logo
Point Digital Finance, Inc.

Point's mission is to make homeownership more valuable and accessible. The company has raised over $175M from top investors and is scaling fast, building a category-defining company in home equity. 4.7 Trustpilot rating and A+ from the BBB. Certified Great Place to Work and a Fortune Best Workplace in the Bay Area. Remote-first culture with genuine connection through virtual collaboration.

DevOps Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteMid LevelTeam 51-200

Location

Canada

Posted

14 days ago

Salary

C$144.5K - C$159.7K / year

Seniority

Mid Level

No structured requirement data.

Job Description

DevOps Engineer

Point Digital Finance, Inc.

Role Description 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: - 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 across all business systems and internal applications, and develop SOPs for detecting and responding to disruptions. - Identify and reduce friction across the Secure SDLC — streamlining SAST/DAST integration, compliance tooling, and security scanning so engineers can ship fast without cutting corners. - Manage, scale, and improve AWS cloud infrastructure to support reliable and secure production systems. - Build, operate, and continuously improve CI/CD pipelines using GitHub Actions to enable fast, safe, and repeatable deployments. - Develop and maintain Infrastructure as Code (Terraform) for consistent, auditable, and scalable environments. - Evaluate and optimize AI model hosting on AWS Bedrock — including model selection, performance benchmarking, and cost trade-offs across providers. - Drive adoption and standardization of AI coding agent tooling (Claude Code, Cursor) across engineering teams, and evaluate emerging tools as the ecosystem evolves. - Partner with Security to deploy and operate SAST, DAST, and SIEM solutions as part of our Secure SDLC. Qualifications - 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering; 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). - Strong 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). Requirements - 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). Benefits - Compensation at Point will be determined by skills, experience, and geographic location: CAD 144,528 - 159,741. - This does not include any other potential components of the compensation package, including equity, benefits, and perks. - At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. - At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation. Company Description - Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. - Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! - Game-changing Product: We're building a category-defining company in home equity, with a 4.7 Trustpilot rating and an A+ from the BBB. - Great Place to Work: 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.

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