Overview
Esri provides global transportation routing services that help users solve problems such as finding routes and driving directions, optimizing deliveries for a fleet of vehicles, identifying areas reachable within 30 minutes, performing site selection analyses, and more.
As a Software Engineer, you will be responsible for enhancing the observability and operational reliability of routing services. You will develop data engineering pipelines, build dashboards and alerts that provide actionable insights into service health and usage, and create automation that helps teams quickly detect and resolve issues. Your work will play a key role in maintaining the high availability of routing services and shaping their next generation. This role has no requirement to be on call.
Responsibilities
- Maintain and improve data pipelines that store and analyze service logs in a cloud-based data warehousing system
- Employ automation, effective monitoring, and infrastructure-as-code
- Develop and sustain data pipelines for gaining operational insights on deployed services
- Create visualizations that enable stakeholders, including product management and software development teams, to gain insights into routing service performance, reliability, failures, and usage patterns from processed logs
- Enhance monitoring systems to collect additional metrics that describe the real-time health of routing services, improve alerts, and develop automated runbooks that take corrective actions
- Work with software development teams, technical support, and other internal stakeholders to improve the metrics, traces, and logs generated by routing services to enhance observability and improve existing workflows
Requirements
- 2+ years of experience in writing Python code for data processing
- Knowledge of loading, managing, and analyzing data in AWS (Amazon Web Services) using Athena
- Experience developing dashboard applications using Grafana
- Hands-on experience for provisioning cloud infrastructure using Terraform
- Proven success working collaboratively with diverse, cross-functional teams to drive outcomes
- Bachelor’s degree in computer science, engineering, mathematics, or related technology field
Recommended Qualifications
- Experience with Python-based data processing libraries such as pandas, Polars, or DuckDB
- Experience maintaining and enhancing existing monitoring and observability systems for web services using AWS CloudWatch, Prometheus, mtail, and Grafana
- Experience managing production alerts and incident response workflows using PagerDuty
- Master's degree in computer science, engineering, mathematics, or related technology field
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Total Rewards
Esri’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.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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