As a Lead Platform Engineer of Observability and Monitoring, you set the technical direction for how enterprise observability and monitoring capabilities are designed, delivered, and consumed across cloud and on premises systems, infrastructure, and applications. Your focus is on enabling application and platform teams to adopt standardized monitoring, logging, and event driven capabilities through well-defined patterns, integrations, and automation. You lead the configuration, customization, and delivery of observability capabilities across enterprise platforms, including application performance monitoring, centralized logging, event correlation, and automated alerting. You establish architectural standards, best practices, and reference designs that ensure monitoring solutions are scalable, resilient, secure, and aligned with enterprise strategy. You provide technical leadership for business and technical analysis, architectural reviews, and complex solution design, partnering closely with stakeholders to translate operational and business requirements into consistent, data driven observability implementations. In this role, you drive enterprise scale adoption of automated monitoring and alerting through CI/CD enablement, configuration as code, and reusable ingestion, dashboard, and visualization patterns for structured and unstructured telemetry data. You lead the design and implementation of alerting and event correlation integrations with ITSM and event management platforms such as BigPanda, ensuring actionable signals flow cleanly from applications and infrastructure into operational workflows. The Lead Platform Engineer is expected to champion automation, security best practices, and continuous improvement in observability capability delivery, with deep hands-on expertise in tools such as Elastic, AppDynamics, and BigPanda. Through mentoring and technical leadership, you enable teams to deliver consistent, scalable, and intelligent monitoring solutions that improve operational visibility, accelerate incident response, and strengthen overall service resilience—without coupling teams to the operational burden of the monitoring platforms themselves.

Responsibilities

  • Lead the design, development, and evolution of monitoring solutions in support of IT operations systems, infrastructure, and applications, Cloud and On premises 
  • Provide technical leadership for business and technical analysis and architectural reviews with customers.
  • Lead and continuously improve enterprise scale continuous integration/continuous delivery (CI/CD) processes and pipelines.
  • Drive strategy and implementation of automated monitoring and alerting across platforms and services
  • Oversee the design and development of ingest pipelines, visualizations, and dashboard capabilities for structured and unstructured data.
  • Lead the design and implementation of triggered alert functionality, including on screen alerts and event integrations with ITSM and Event Management Platforms
  • Provide escalation support and leadership for day-to-day Request and Incident ticket work as necessary
  • Lead collaboration with stakeholders to gather requirements, develop solution designs, and ensure scalability, resiliency, and efficiency of platform architectures.
  • Establish and govern system guidelines, process documentation, and training materials for the organization.
  • Proactively assess and lead responses to emerging requirements and ambiguous technology decisions.
  • Lead and coordinate IT and business unit projects related to platform and collaboration solutions, including acquisitions, divestitures, and migrations.


Qualifications

  • Bachelor’s degree in computer science, Information Technology, a related field or equivalent education/experience and 8–10+ years of related work experience
  •  Demonstrated ability to lead the design and enforcement of monitoring standards in collaboration with application teams (AppDynamics, Elastic Stack, CloudWatch, Site24x7)
  • Extensive experience architecting, engineering, and scaling distributed telemetry pipelines (Elastic ingestion, data normalization, dashboards)
  • Expert level proficiency configuring alert normalization, enrichment, and correlation patterns at enterprise scale
  • Advanced experience with the Open Integration Hub, webhook based and API driven event ingestion
  • Deep understanding of the BigPanda incident lifecycle, correlation models, and automated routing to ServiceNow
  • Expert understanding of logs, metrics, traces, and observability concepts (APM, RUM, synthetic monitoring)
  • Proven ability to design, configure, and optimize AI driven workflows (automated incident analysis, similar incidents, change risk scoring)
  •  Strong familiarity with vector DB concepts, enrichment pipelines, and generative AI guardrails
  •  Advanced knowledge of SSO, OAuth, API Gateway patterns, and secured data flows
  •  Expert level AWS experience (Lambda, S3, API Gateway, CloudWatch, IAM)
  •  Demonstrated ability to interpret telemetry, identify patterns proactively, and influence engineering outcomes
  •  Advanced AI Prompt Engineering Proficiency
  •  Extensive experience interacting with large language models and incorporating them into platform workflows
  •  Proven experience as a Lead Platform Engineer or similar role (i.e. M365, AWS, or Azure Engineer).
  •  Expert understanding of cloud technologies, DevOps processes, and large-scale automation of services.
  •  Extensive experience with CI/CD tools and practices (i.e. Jenkins, Azure Pipelines, etc.).
  •  Advanced experience with automation and scripting tools (i.e. PowerShell, Graph API, etc.)

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Preferred Qualifications

  •  Hands on leadership experience with BigPanda and Biggy AI implementations
  •  Deep expertise with Elastic and its advanced platform capabilities
  •  Experience leading monitoring and logging integrations with ServiceNow at scale
  •  Strong knowledge of security best practices in platform and cloud engineering
  •  Advanced certifications in cloud platforms (GCP, AWS, Azure, M365).
  •  Proven ability to mentor, coach, and technically lead engineers across teams

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Working Conditions

  • On call may be required
  • Hybrid/Office environment (Tuesdays, Wednesdays, Thursdays)
  • Minimal travel.

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This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

The Salary for this position generally ranges between $124,000 - $160,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion. 

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, IA; Denver, CO; Philadelphia, PA).  Relocation assistance will not be provided for this position.