Staff Site Reliability Engineer

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

Carrier's Building Automation Systems (BAS) Cloud organization is seeking a highly skilled Senior Site Reliability Engineer (SRE) to help build, scale, and continuously improve our cloud-native SaaS platform. This role combines software engineering, cloud infrastructure, platform engineering, observability, automation, and operational excellence to ensure world-class reliability, security, and performance for business-critical customer solutions.

As a Senior SRE, you will play a key role in defining reliability standards, building self-service platform capabilities, driving automation, and enabling engineering teams to operate highly available services at scale. You will partner closely with software engineering, architecture, cybersecurity, DevOps, cloud operations, and product teams to improve system resilience, accelerate delivery, and reduce operational toil.

This is an opportunity to influence the technical direction of a rapidly evolving cloud platform while helping establish engineering best practices across a global organization.

• Design, implement, and maintain highly available, scalable, and secure cloud infrastructure supporting Carrier's SaaS platforms.
• Define and drive Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs) across critical services.
• Build self-service platform capabilities that enable development teams to deploy and operate services efficiently and consistently.
• Develop reliability frameworks, standards, and operational best practices that improve platform resiliency and customer experience.
• Identify reliability bottlenecks and architect solutions to eliminate single points of failure.

• Develop automation solutions that eliminate repetitive operational tasks and reduce manual intervention.
• Design and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, AWS CDK, or similar technologies.
• Build and enhance CI/CD pipelines to improve deployment velocity, consistency, and security.
• Implement automated remediation, self-healing capabilities, and operational workflows.

• Design and enhance modern observability solutions using metrics, logs, traces, and distributed monitoring technologies.
• Develop dashboards, monitoring standards, alerting frameworks, and reliability reporting mechanisms.
• Lead incident response efforts for critical production events, including root cause analysis and long-term corrective actions.
• Drive post-incident reviews focused on systemic improvements rather than individual fault.

• Improve platform performance, availability, scalability, disaster recovery, and business continuity capabilities.
• Validate backup, restoration, and recovery processes through regular testing and continuous improvement efforts.
• Collaborate with engineering teams to implement resilient architectures capable of meeting defined reliability and compliance objectives.
• Support operational readiness reviews for new services and platform capabilities.

• Mentor engineers and provide technical leadership in reliability engineering practices.
• Partner with development teams to improve application reliability throughout the software development lifecycle.
• Establish and promote a culture of automation, ownership, continuous learning, and operational excellence.
• Stay current on emerging technologies and industry best practices within cloud infrastructure, platform engineering, AI-assisted operations, and Site Reliability Engineering.

• Participate in a shared on-call rotation supporting production environments.
• Drive initiatives focused on reducing operational toil through automation, self-healing systems, and platform improvements.
• Continuously improve incident response processes and platform reliability practices.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a technical field with 7+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Engineering -OR- Master’s degree in Computer Science, Software Engineering, Information Technology, or a technical field with 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Engineering.
• 3+ years of hands-on experience designing and supporting large-scale cloud environments.
• 3+ years of experience with Infrastructure as Code (such as Terraform, CloudFormation, AWS CDK).
• 3+ years of experience building and maintaining CI/CD pipelines and deployment automation.
• 3+ years of extensive experience with Amazon Web Services (AWS), including services such as EKS, EC2, VPC, RDS, Lambda, CloudWatch, and IAM.
• 3+ years of experience implementing observability platforms utilizing technologies such as Prometheus, Grafana, Open Telemetry, Datadog, Splunk, or New Relic.

• Strong understanding of modern SRE principles, including reliability engineering, observability, toil reduction, incident management, and error budgets.
• Strong scripting or programming experience using Python, Go, PowerShell, Bash, or similar languages.
• Strong knowledge of networking, security, systems architecture, and distributed systems concepts.
• Proven experience leading production incident response and root cause analysis activities.
• Proven experience with cloud-native platforms and container technologies, including Kubernetes and Docker.
• Experience operating SaaS platforms serving large-scale customer environments.
• Experience supporting compliance frameworks such as SOC 2, ISO 27001, NIST, or similar standards.
• Experience implementing AI-assisted engineering solutions to improve operational efficiency, troubleshooting, automation, and service reliability.
• Knowledge of platform engineering concepts including Internal Developer Platforms (IDP), developer self-service capabilities, and engineering enablement practices.
• AWS certifications or other cloud certifications.
• Excellent communication, leadership, and collaboration skills.

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