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Esri

Sr. Product Engineer- Observability, ArcGIS Enterprise

Esri · Redlands, CA

Posted about 3 months ago

or apply directly on Esri's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Esri's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Esri's roles list one
Ghost-job risk at Esri
high
448 stale, 7 reposted of 453 open
Hiring momentum
664 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Esri's own greenhouse board since 2026-08-03. Full hiring picture for Esri.

About this role

As a Sr. Product Engineer for Observability at Esri, you will design and implement observability patterns for ArcGIS Enterprise, focusing on AI and data-driven techniques for automated root cause analysis. Your role involves collaborating with a global team to translate customer needs into technical requirements, developing observability pipelines, and contributing to software quality assurance. You will also troubleshoot customer issues and share knowledge through various documentation and presentations.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Esri as an employer.

What you need

  • 5+ years of experience with ArcGIS Enterprise and ArcGIS platform technologies
  • Solid foundation of observability concepts: metrics, logs, traces, SLIs, SLOs
  • Hands-on Experience with Prometheus / Grafana
  • Robust experience developing and implementing test plans and test automation
  • Experience working with Python, Java, or other scripting languages
  • Strong experience translating customer needs (in observability) into technical requirements for the team

Nice to have

  • Experience with capacity planning, performance and chaos engineering
  • Familiarity with AI and Machine Learning concepts, especially as applied to operational data
  • Working knowledge of Kubernetes resource management (requests/limits, throttling, OOMs)
  • Hands on experience building or operating large scale distributed systems
  • Experience designing, deploying solutions in AWS and/or Azure

What you get

  • medical, dental, vision insurance
  • basic and supplemental life insurance for employees and their families
  • 401(k) and profit-sharing programs
  • minimum accrual of 80 hours of vacation leave
  • twelve paid holidays throughout the calendar year
  • opportunities for personal and professional growth

Worth weighing

  • no remote work option mentioned, role is onsite
  • base salary range provided, but compensation decisions depend on various factors
  • focus on observability may limit exposure to other areas of product development

Summarised from Esri's posting. Read the full original.

Listed by Esri on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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