OverviewBuild the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capability to thousands of customers and millions of users worldwide.
Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises, Kubernetes, and the cloud, making maps, geographic information, and analyses available on any device, anywhere, at any time. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineer for observability, you will work with our cross-functional global team of product engineers, developers, and writers to design and implement the best observability patterns with a particular focus on leveraging AI and data-driven techniques to deliver automated root cause analysis and intelligent sizing recommendations. You will be actively involved with designing, writing, building, and delivering existing and next generation ArcGIS Enterprise observability using software development and quality assurance practices.
Responsibilities- Translate customer needs and industrial trends into technical requirements for future ArcGIS Enterprise software releases
- Design and evolve end-to-end observability pipelines, spanning metrics, logs, traces, and events, across ArcGIS Enterprise deployments
- Contribute to the design of AI Driven Root Cause Analysis (RCA) capabilities that accelerate troubleshooting and incident resolution
- Partner on the design of data driven models to generate sizing and capacity guidance for customers
- Collaborate with product engineers and development engineers on software project teams to build new ArcGIS Enterprise software releases
- Share workflows in help topics, blog articles, presentations, tutorials, and samples
- Troubleshoot and triage customer issues
- Review and analyze automated test results, report status on software quality and stability, and certify software quality
Requirements- 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
- Excellent problem solving and analytical skills
- Proven ability to build and deliver quality software in a team environment
- Strong time management and organizational skills
- Bachelor's degree in computer science, software engineering, information systems, or a related technical field
Recommended Qualifications- 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
- Master's degree in computer science, software engineering, information systems, or a related technical field
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Total RewardsEsri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, 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, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$93,600-$159,328 USD
