Senior DevOps Engineer

Assent; Ottawa; On-site; CAD 120,000 - 160,000; Full time

Job summary

Assent is seeking a Senior DevOps Engineer for the Data & AI Platform to own the infrastructure, tooling, and automation that power data pipelines, warehousing, and AI/ML workloads. You will build scalable, secure infrastructure as code and collaborate with Data Engineering to remove operational friction.

You will guide platform automation, observability, and security, staying current with DevOps and data tech to accelerate Assent's objectives.

Qualifications

• Senior DevOps experience enabling data pipelines, warehousing, and AI/ML workloads.
• Strong automation, security, reliability, and repeatability in platform tooling.

Responsibilities

• Own the infrastructure quality for Assent's Data & AI Platform from design to sustainment.
• Build and maintain scalable IaC and platform automation for data pipelines, warehousing, and workloads (Snowflake, dbt, Airflow).
• Develop CI/CD pipelines, deployment automation, and environment tooling for the data platform.

Skills

DevOps leadership

Cloud infrastructure

Data platform

CI/CD pipelines

Observability

Tools

AWS

Snowflake

dbt

Airflow

Job description

The Senior DevOps Engineer, Data & AI Platform is a technical expert dedicated to the infrastructure behind Assent's Data & AI Platform. You bring strong senior-level DevOps expertise and apply it consistently to how our data pipelines, warehousing, and AI/ML systems are built and run. Your day to day is spent designing and building the infrastructure and tooling that our data pipelines, orchestration, and warehousing systems run on, working closely with Data Engineering to understand their requirements and remove operational friction. Your strong DevOps expertise ensures this work is delivered with the rigor, automation, security, reliability, and repeatability expected of a modern DevOps practice, applied to the specific context of data and AI/ML systems. You'll need strong data platform fundamentals, a solid grounding in DevOps methodology, and the judgment to know when and how to apply one to the other. As the platform matures, you will also contribute your experience to Assent's broader DevOps practices and initiatives.

Key Requirements & Responsibilities

• Own the technical quality of the infrastructure, tooling, and automation underpinning Assent's Data & AI Platform from design through delivery through sustainment
• Design, build, and maintain scalable, secure infrastructure as code and platform automation supporting data pipelines, warehousing, orchestration, and AI/ML workloads (e.g., Snowflake, dbt, and Airflow), primarily on AWS Partner directly with Data Engineering to understand pipeline, workflow, and system requirements, translating them into infrastructure and automation that removes operational friction
• Build and maintain CI/CD pipelines, deployment automation, and environment tooling for the data platform, applying the same rigor and repeatability expected of any modern DevOps practice
• Design observability, alerting, and incident-response practices specific to data platform workloads, so pipeline and system health is visible and actionable
• Design governance, access, and security policies for data platform infrastructure in collaboration with security and data engineering stakeholders
• Guide the Data Engineering team on infrastructure and deployment best practices, helping them build in a way that fits Assent's broader DevOps practices
• Stay current with emerging DevOps and data infrastructure technologies, and drive adoption where they meaningfully accelerate the team's objectives
• As the Data & AI Platform matures, contribute to Assent’s broader DevOps initiatives, shared infrastructure, platform standards, automation, security, reliability, and operational practices