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 safe, 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: quick, 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 (Canada)
🏢 Modaxo
📍 Canada