McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
McKesson is seeking a Senior Observability Engineer to join our Platform Engineering team. In this role, you will serve as a keyengineerand practitioner of McKesson’s enterprise observability strategy,supportingthe design, deployment, and continuous improvement of our monitoring and telemetry platforms across cloud and on-premises infrastructure. You will operate with a high degree of autonomy, applying SRE principles and an engineering-first mindset to ensure the reliability, performance, and availability of mission-critical healthcare technology systems.
You will influence observability standards across the organization, mentor colleagues, and drive innovation without direct management responsibilities. Promotions beyond this level are selective and driven by demonstrated business impact.
Observability Platform Ownership
Engineer, implement, and operate enterprise-grade observability platforms including Dynatrace,LogicMonitor, Grafana, and Prometheus across multi-cloud and hybrid environments.
Define and enforce observability-as-code practices, managing configurations through version-controlled pipelines (e.g., Terraform, Helm,GitOps).
SRE & Engineering Excellence
Define, implement, and report on Service Level Objectives (SLOs), Service Level Agreements (SLAs), and Key Performance Indicators (KPIs) in partnership with engineering and business stakeholders.
Cloud & Infrastructure Monitoring
Design comprehensiveobservabilitystrategies for cloud-native workloads across AWS, Azure, and/or GCP, including containers (Kubernetes/EKS/AKS), serverless, and microservices architectures.
Instrument infrastructure, application, and business-layer telemetry (logs, metrics, traces) to provide end-to-end visibility.
Partner with DevOps, NetOps, and Security teams to integrate observability signals into CI/CD pipelines, ITSM workflows, and SOC operations.
AI & LLM Observability (Emerging Capability)
ImplementOpenTelemetryGenAI semantic conventions to standardize how AI agent telemetry (traces, spans, token usage, tool invocations) is collected across frameworks and services.
Design and maintain tracing pipelines that capture the full agent execution chain from user intent and planner decisions through tool calls, retrieval steps, and model responses enabling root cause analysis beyond traditional request/response tracing.
Define AI-specific SLOs and cost budgets covering token consumption, hallucination rate, tool invocation success rate, and agent task completion rate.
Build dashboards and alerting for AI behavioral signals: model drift, performance degradation, prompt/context version changes, and guardrail violations.
Collaboration & Technical Leadership
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
7+ years of experience in observability, monitoring, SRE, or platform engineering roles within complex, enterprise-scale environments.
Hands-on expertise with two or more of the following platforms: Dynatrace,LogicMonitor,Grafana,ThousandEyesandPrometheus.
Deep understanding of cloud infrastructure monitoring across AWS, Azure, and/or GCP, including IaaS, PaaS, and container platforms.
Strong working knowledge of SRE principles: SLOs, SLAs, error budgets, alerting philosophy, and incident management.
Scripting/automation proficiency in Python, Go, Bash, or equivalent, with experience building or extending monitoring integrations.
Experience with infrastructure-as-code andGitOpspractices (Terraform, Helm, Ansible, etc.) as applied to observability configuration management.
Demonstrated ability to work independently, set direction, and deliver results in a complex, matrixed organization.
Relocation is not budgeted for this role
Office requirement: We are Flex and Connect with 2 days a week in office.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,
Our Base Pay Range for this position
$99,100 - $132,100
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McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [email protected] or (Canada) [email protected]. Resumes or CVs submitted to this email box will not be accepted.
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