Infrastructure / SRE Engineer### Infrastructure / SRE EngineerApply:

Remote, Canada:

Poland, Virtual:

Remote, Germany:

Full time:

Posted Today:

R60192Job Summary:You will build the foundations the whole team stands on - cloud landing zones, infrastructure-as-code, Kubernetes, CI/CD, and observability - and establish the reliability practice that lets us ship safely. Our customers run 24/7 mission-critical operations, so reliability is a feature, not an afterthought.

You'll report to the Head of AI Platform Engineering and join a small, senior founding team building the platform from the ground up.Job Description:# Why This Role Is Different* Production-first. Reliability is the product for customers who rely on us 24/7. You will ship protected, repeatable delivery, not experiments.* Platform and product. You will build the foundations that the whole team and portfolio stand on. One solid platform multiplies everyone's velocity.* Domain-first, not tech-first. You will learn the domain well enough to know what "reliable" means to customers running mission-critical operations.* A founding role. As an early hire, you will establish the delivery and on-call culture and help raise the bar as we grow.* Pragmatic build or buy. You will make pragmatic build or buy decisions on infrastructure and tooling, without gold-plating.

# What You'll Do## Foundations and Delivery* Build and own cloud landing zones, infrastructure-as-code and the Kubernetes foundations the team builds on.* Own CI/CD as a product: fast, safe, repeatable delivery.* Automate away toil,



and codify operational knowledge into tooling and runbooks.## Reliability and Observability* Establish observability (metrics, logs and traces), SLOs and alerting, so the platform is measurable and debuggable.* Set up and mature on-call and incident response, and drive reliability improvements from postmortems.## Deployment and Cost* Support deployment into both cloud and customer-managed environments, and manage version and configuration drift.* Optimise cost and capacity, including for AI workloads.## Delivering Value with Product and Customers* Work with product teams and customers to validate results and outcomes, prioritising by value.* Take a value-based development approach: prove value with the smallest useful slice, then scale what works.* Instrument and measure impact, letting evidence rather than opinion drive what ships.* Build automated QA, including tests, quality gates and regression checks, into the delivery pipeline.## Building the Team and Ways of Working* Help build the team by establishing on-call and reliability culture, and mentor as we grow.* Foster a culture of technical excellence, customer obsession and pragmatic shipping.* Partner with product teams across the portfolio who own their own roadmaps.

# What You'll BringWe look at demonstrated experience and scope, not years served,



and we don't expect every candidate to tick every box.* Production infrastructure: You have built and run production cloud infrastructure and owned its reliability.* Operations as engineering: You treat operations as engineering, not ticket-driven ops.* On-call maturity: You have carried real on-call for what you built.* Clear communication: You explain your thinking clearly to engineers, product partners and customers, and bring people along.* Value and pragmatism: You focus on outcomes and value, and make pragmatic calls to ship.

# Bonus PointsAny of these strengthen an application; none are required.* Kubernetes and IaC: Kubernetes and infrastructure-as-code in production.* Azure depth: Landing zones, networking and identity on Azure.* Customer-managed environments: Shipping software into environments the vendor does not fully control.* Regulated delivery: Delivery into regulated or restricted environments.* Compute cost: Cost optimisation for GPUs or other expensive compute.* Languages: Comfortable in Python, C#/.NET or Go for tooling and automation.* Architecture: System and platform design, and trade-off judgement such as one-way versus two-way doors.* Enterprise scale: Experience building or operating enterprise-scale software, and its reliability, security and integration demands.* AI-assisted engineering: You use AI coding assistants productively and supervise their output with judgement.

*New to some of this? If you bring the essentials above and are excited by the problem, we'd still like to hear from you.#LI-DNI*Worker Type:RegularNumber of Openings Available:**3

📌 Infrastructure / SRE Engineer (Winnipeg)
🏢 Modaxo
📍 Winnipeg