Observability Technical Lead

Carrier

Pay: $46-$92/hr

Shift: Full time

About Carrier 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. Key Responsibilities Enterprise Observability Platform Engineering Serve as the senior SME for enterprise observability, defining architectures, standards, integration patterns, and reusable solutions Design and optimize observability across cloud, on-prem infrastructure, networks, Kubernetes, containers, applications, APIs, databases, middleware, and enterprise platforms Standardize metrics, logs, traces, events, topology, dashboards, alerting, instrumentation, and service health Provide technical leadership for LogicMonitor, Splunk, OpenTelemetry, Grafana, Prometheus, Tempo, VictoriaMetrics, Loki, and related technologies Lead OpenTelemetry adoption, including instrumentation, collectors, telemetry pipelines, distributed tracing, context propagation, and vendor-neutral standards Design telemetry pipelines that route metrics, logs, and traces across multiple platforms Develop API-driven and Observability-as-Code capabilities for onboarding, configuration, validation, and lifecycle management Establish governance for RBAC, telemetry standards, alerting, retention, integrations, configuration management, and data lifecycle Improve observability coverage, telemetry quality, scalability, reliability, performance, and cost efficiency Observability Automation, AIOps Reliability Drive automation and self-service through APIs, Infrastructure-as-Code, CI/CD, GitOps, and reusable observability pattern Integrate Edwin AI and AIOps capabilities for anomaly detection, event correlation, root-cause analysis, investigation, and operational intelligence Connect metrics, logs, traces, events, topology, CMDB, service ownership, and operational context to deliver end-to-end visibility Establish reliability standards including SLIs, SLOs, error budgets, monitoring coverage, alert quality, MTTD, and MTTR Reduce alert fatigue through intelligent correlation, dynamic thresholds, suppression, automation, and event-management practices Evaluate eBPF, continuous profiling, Kubernetes observability, dependency mapping, and auto-instrumentation Advance operations from reactive monitoring toward proactive and predictive operations Global Technical Leadership Collaborate with engineering and operations teams across North America, Europe, and Asia Lead architecture reviews, platform evaluations, workshops, and technical working sessions Influence observability strategy and standards across teams without direct authority Mentor engineers and promote observability, SRE, and reliability best practices Evaluate emerging technologies and recommend adoption based on interoperability, scalability, business value, and cost Translate strategy into standards, reference architectures, and reusable implementation patterns Reasonable schedule flexibility is required to support global collaboration. Required Qualifications Bachelor’s Degree 7 years of experience in observability, monitoring, APM, SRE, DevOps, platform engineering, or related professional experience 7 years of experience designing, implementing, operating, and maintaining enterprise-scale observability platforms using observability-as-code, monitoring-as-code, infrastructure-as-code, GitOps, and CI/CD practice Preferred Qualifications Experience with AWS, Azure, GCP, and large-scale Kubernetes environments Experience designing OpenTelemetry Collector architectures and telemetry pipelines Expertise with Grafana, Tempo, Loki, and Prometheus-compatible platforms Experience with VictoriaMetrics or other large-scale time-series databases. Knowledge of eBPF, continuous profiling, auto-instrumentation, and cloud-native telemetry Experience integrating observability platforms with ServiceNow, ITSM, CMDB, incident management, and automation platforms Understanding of SRE practices including SLIs, SLOs, error budgets, and incident management Experience enabling developer self-service and internal developer platform integrations Knowledge of RBAC, secrets management, governance, compliance, and telemetry data protection Pay Range The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualific