Software Engineer II (DevOps & Observability) - Transportation Routing Services
Summary
This role involves maintaining data pipelines and enhancing observability for transportation routing services using Python, AWS, and infrastructure-as-code tools like Terraform. The engineer will focus on monitoring service health, automating runbooks, and creating visualizations to provide operational insights.
Software Engineer II (DevOps & Observability) - Transportation Routing Services
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.
Key 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
- 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
- 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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- 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.
- A reasonable estimate of the base salary range is