DevOps Engineer (Engineering Productivity & Tooling)

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a DevOps Engineer to design and operate internal productivity systems, instrument and analyze AI and automation usage, and improve Secure SDLC practices. The ideal candidate has 5+ years of experience in DevOps, Platform Engineering, or Cloud Engineering roles and proficiency in at least one programming language. The role involves building and maintaining internal tooling for developer productivity and engineering metrics, as well as managing and evolving AWS cloud infrastructure.

Key Highlights

Design and operate internal productivity systems

Instrument and analyze AI and automation usage

Improve Secure SDLC practices

Key Responsibilities

Build and maintain internal developer productivity tooling such as dashboards, metrics systems, and engineering performance frameworks

Instrument and analyze AI and automation usage across engineering workflows

Design and operate reliable monitoring, alerting, and incident response systems

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Technical Skills Required

Python Go TypeScript AWS services (ECS, EKS, EC2, Lambda) S3 RDS Redis IAM Control Tower GitHub Actions Terraform DORA metrics cycle time throughput

Benefits & Perks

Competitive salary ranging from CAD 144,528 to CAD 159,741

Remote-first role within Canada

Opportunity to work in a fast-scaling, AI-driven engineering environment

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Nice to Have

Experience working with or optimizing LLM/AI infrastructure

Job Description

In this role, you will be at the center of a modern, AI-native engineering organization focused on building tools and platforms that improve developer experience, system reliability, and delivery speed. You will design and operate internal productivity systems that provide visibility into engineering performance, including metrics such as cycle time, deployment frequency, and throughput. The environment is highly collaborative and fast-moving, with a strong emphasis on automation, cloud-native infrastructure, and secure software delivery practices. You will also play a key role in shaping how engineering teams adopt AI-driven workflows and development tools at scale. This position combines DevOps, platform engineering, and data-driven decision-making to reduce friction across the software lifecycle. It is an opportunity to directly influence how engineering teams build, ship, and operate software in a modern cloud environment.

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