Infrastructure / SRE Engineer

Infrastructure / SRE Engineer### Infrastructure / SRE EngineerApply: Remote, Canada: Poland, Virtual: Remote, Germany: Full time: Posted Today: R60192**Job 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: 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 Bring**We 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 Points**Any 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:**Regular**Number of Openings Available:**3 #J-18808-Ljbffr