Senior DevOps Engineer
New
P
Point Digital Finance, Inc.Financial Technology
100% remote position open only to candidates currently based in CanadaFull-TimeSenior
Salary144,528 - 159,741 CAD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonTypeScriptGoDevOpsTerraformGitHub Actions
Requirements
- 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
- Strong proficiency in at least one programming language (Python, Go, TypeScript, or similar)
- Practical experience using AI coding agents (Claude Code, Cursor, GitHub Copilot, or similar)
- Hands-on experience with AWS services including compute, storage, data, and governance/identity
- Hands-on experience building and maintaining CI/CD workflows using GitHub Actions
- Solid experience with Infrastructure as Code using Terraform or similar tools
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 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
- 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
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