DevOps Engineer (Engineering Productivity & Tooling)

1 hour, 36 minutes ago
Full-time
Senior
DevOps and Infrastructure
Point

Point

Point is a leading home equity platform that offers homeowners up to $500k through Home Equity Investments (HEI) with no monthly payments. By buying a fraction of properties, Point empowers homeowners to access the wealth locked in their home equity. W...

Real Estate
251-1K
Founded 2015
$169M raised

Description

  • Build and maintain internal developer productivity tools, including dashboards, metrics, and measurement frameworks for engineering throughput, cycle time, and quality signals.
  • Instrument token usage and model costs across agentic workflows to improve visibility and support cost optimization.
  • Set up availability monitoring and alerting for business systems and internal applications, and create SOPs for incident detection and response.
  • Identify and reduce friction across the Secure SDLC by improving SAST/DAST integration, compliance tooling, and security scanning.
  • Manage, scale, and improve AWS cloud infrastructure for reliable and secure production systems.
  • Build, operate, and continuously improve CI/CD pipelines using GitHub Actions.
  • Develop and maintain Infrastructure as Code with Terraform for consistent and auditable environments.
  • Evaluate and optimize AI model hosting on AWS Bedrock, including model selection, performance benchmarking, and cost trade-offs.
  • Drive adoption and standardization of AI coding agent tools across engineering teams and assess new tools as the ecosystem evolves.
  • Partner with Security to deploy and operate SAST, DAST, and SIEM solutions.

Requirements

  • Must be currently based in Canada and legally authorized to work in Canada.
  • 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Demonstrated experience building internal developer productivity tools and metrics systems such as DORA metrics, cycle time, deployment frequency, or engineering throughput.
  • Strong proficiency in at least one programming language such as Python, Go, TypeScript, or similar.
  • Practical experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar in your workflow.
  • Hands-on experience with AWS services including ECS, EKS, EC2, Lambda, S3, RDS, Redis, Control Tower, and IAM.
  • Hands-on experience building and maintaining CI/CD workflows with GitHub Actions.
  • Solid experience with Infrastructure as Code using Terraform or similar tools such as AWS CDK or CloudFormation.
  • Experience managing or evaluating LLM hosting platforms such as AWS Bedrock, including model selection, token cost optimization, and multi-model evaluation frameworks, is preferred.
  • Experience building tooling for agentic or multi-agent AI workflows, including session tracking, cost attribution, and observability, is preferred.

Benefits

  • 100% remote work from anywhere in Canada.
  • Competitive compensation of CAD 144,528 - 159,741.
  • Equity and additional compensation components may be included in the total package.
  • Work at a Certified Great Place to Work and Fortune Best Workplaces in the Bay Area employer.
  • Opportunity to join a well-funded company that has raised over $175M from top investors.
  • People-first remote culture with virtual collaboration and team gatherings.

Interested in this position?

Apply directly on the company website

Apply Now

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