Observability Architect

3M•Maplewood, MN

4d•Onsite

About The Position

As a 3M Observability Architect, you will define how the organization understands the health, performance, and reliability of its technology environment. You will establish a unified observability strategy across cloud, infrastructure, applications, networks, security, and business-critical services. Using technologies such as Amazon CloudWatch, Cribl, Splunk, application performance monitoring, and AI, you will connect fragmented telemetry into actionable insight that helps teams detect issues earlier, troubleshoot faster, and prevent recurring incidents. You will also design automated root-cause investigations using AI technologies to improve observability. This role follows an on-site working model, with employees working at least four days per week in the office at 3M Center in Maplewood, Minnesota. Travel is 10%. Relocation is available. Candidates must be legally authorized to work in the country of employment without sponsorship for employment visa status. The position may involve direct or indirect physical or logical access to information, systems, and technologies subject to U.S. Export Control Laws. The role requires a bachelor's degree in Computer Science or Cybersecurity, completed and verified before starting, ten years of IT infrastructure experience, five years of cloud technologies experience, three years of observability experience, and three years of experience with AI tools. The expected compensation range for U.S. applicants is $164,612–$201,193, including base pay plus variable incentive pay, if eligible. The position may also be eligible for benefits including medical, dental and vision coverage, health savings and flexible spending accounts, disability and life insurance, voluntary benefits, paid absences, and retirement benefits.

Requirements

Bachelor’s degree in Computer Science or Cybersecurity, completed and verified prior to start.
Ten years of experience in IT infrastructure.
Five years of experience with cloud technologies.
Three years of experience with observability.
Three years of experience with AI tools.
Must be legally authorized to work in the country of employment without sponsorship for employment visa status.

Nice To Haves

Proven ability to design enterprise observability strategies covering logs, metrics, traces, events, alerts, dashboards, service dependencies, and operational health across complex hybrid environments.
Strong hands-on experience with Amazon CloudWatch, Splunk, and Cribl, plus familiarity with application performance monitoring, infrastructure monitoring, network monitoring, OpenTelemetry, and incident-management platforms.
Experience collecting, transforming, enriching, routing, and retaining high-volume telemetry; understanding of data quality, source onboarding, schema consistency, indexing, retention, and cost control.
Strong understanding of AWS workloads, distributed applications, APIs, containers, operating systems, networks, and hybrid infrastructure, including determining what should be measured and how failures appear across technology layers.
Demonstrated ability to establish standards, lead architecture reviews, communicate with technical and executive audiences, mentor engineers, and drive adoption across application, cloud, infrastructure, security, and operations teams.

Responsibilities

Define the enterprise observability architecture, tools, roadmap, standards, and governance model.
Integrate monitoring, logging, metrics, tracing, and alerting capabilities across diverse platforms.
Use Cribl and similar technologies to route, enrich, filter, and control telemetry before it reaches downstream platforms.
Improve Splunk and CloudWatch implementations for operational visibility, performance, scalability, and cost efficiency.
Create reusable patterns for dashboards, alerts, service-health views, and telemetry onboarding.
Reduce alert fatigue by improving signal quality, ownership, prioritization, and escalation.
Partner with application, cloud, infrastructure, security, and operations teams to design observability into systems from the beginning.
Mentor engineers and help teams build the skills needed to operate reliable, observable services.
Design automated root-cause investigations using AI technologies.
Comply with corporate policies, procedures, and security standards while performing assigned duties.
Contribute to a strong Environmental Health and Safety culture by following safety policies, identifying hazards, and engaging in continuous improvement.