What you will do OpenBlue from Johnson Controls is a cyber-secured smart building ecosystem that unifies data, AI, and automation to transform how buildings perform. By connecting systems that have historically stood apart and applying award-winning analytics, we give customers real-time visibility, predictive insight, and automated action across the entire building lifecycle. None of that reaches a customer without the platform underneath it. Our data platform, our enterprise SaaS portfolio, and OpenBlue Airwall run continuously for enterprise, public sector, and government customers, in environments where an outage or a data integrity problem carries real operational consequence for the buildings and the people inside them.
Johnson Controls is seeking a Staff Site Reliability Engineer. You will be the senior technical owner of escalated production problems, capable of debugging a failure across application code, data pipelines, cloud services, and network paths, and driving it through to permanent corrective action rather than a restart and a hopeful note in the ticket. You will also plan and execute the infrastructure work that keeps those platforms healthy, with Terraform as your native language and change safety as your standing constraint. You will be a core team member of our engineering department, and participate in the on-call rotation, and occasionally join customer conversations when the severity of an issue warrants an engineer in the room.
This role is based in Canada. We support Canadian government customers and commercial customers with Canadian data residency requirements, and this position works directly with those systems and their data.
How you will do it Application reliability and L3 escalation - Serve as the senior escalation owner for production issues across the OpenBlue Data Platform, our enterprise SaaS products, and Airwall
- Debug complex, cross layer failures spanning application code, data pipelines, cloud infrastructure, and network paths
- Lead root cause analysis and drive both interim and permanent corrective action to closure with the owning engineering teams, including the code or configuration change that prevents recurrence
- Turn recurring escalations into engineering work by feeding defect patterns, reliability gaps, and supportability problems back into the product backlog
- Improve detection ahead of the customer by strengthening instrumentation, monitors, dashboards, and runbooks in Datadog and Grafana
- Participate in the on-call rotation and act as a senior technical lead during major incidents
- Represent Engineering directly with customers during high severity incidents and post incident reviews when the situation calls for it
Infrastructure and platform engineering - Plan and execute infrastructure upgrades, migrations, and platform changes across Azure and AWS with minimal customer disruption
- Own infrastructure as code in Terraform, including module design, state management, and drift remediation
- Operate and improve Kubernetes workloads across capacity, autoscaling, resource limits, and deployment reliability
- Raise release and change safety, and reduce manual toil through automation
- Harden the environments serving government and data residency sensitive customers, partnering with security and compliance on controls and evidence
- Set operational standards for observability, change management, and production readiness that other engineering teams adopt
What you will need
Required - Must reside in Canada and be legally authorized to work in Canada without sponsorship. This requirement supports our Canadian government customers and customers with Canadian data residency obligations
- 7+ years in site reliability engineering, production engineering, L3 application support, or infrastructure engineering
- Demonstrated ability to take a complex production problem end to end and land a permanent fix, with examples you can walk through
- Strong hands on Terraform, with real production ownership of infrastructure as code
- Production experience across Azure and AWS, and with Kubernetes at scale
- Practical depth in Datadog and Grafana, covering instrumentation, dashboards, monitor design, and alert quality
- Experience with AI native development, knowing when and when not to use harnesses such as Claude, Copilot, Codex, or Cursor as a core part of your workflow
- Willingness to participate in an on-call rotation and to respond to production incidents outside business hours
Preferred - Working proficiency in Java and C#, sufficient to read, diagnose, and correct application code
- Experience supporting government or public sector customers, including data residency, data sovereignty, or Protected B handling requirements
- Eligible to obtain Government of Canada security screening at Reliability Status or higher
- Experience operating data platforms, including streaming and batch pipelines, data quality monitoring, and latency service level objectives
- Familiarity with operational technology networking and zero trust network architecture
- Prior experience in an L2 or L3 support organization with formal service level agreements and escalation structures
- Exposure to building automation, HVAC, or connected building technology
#LI-ONSITE
