Infrastructure​/SRE Engineer

Infrastructure / SRE Engineer### Infrastructure / SRE Engineer Apply:
Remote, Canada:
Poland, Virtual:
Remote, Germany:
Full time:
Posted Today:
R60192
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* 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.
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* 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…