DevOps Engineer II - Geocoding Services

Overview As a member of the geocoding team, you will develop back office and cloud hosted systems which support testing and deployment of Keystone AI’s World Geocoding services and solutions. Your contributions will help automate deployment of development systems, extend, and manage test harnesses, monitor, and troubleshoot issues, and improve systems that mine and analyze services usage patterns which team members can learn from to optimize quality and performance. Keystone AI’s global geocoding solutions help organizations locate addresses and places on a map, discovering what’s at a known location or adding location information to large tables of records. Geocoding is a fundamental step towards understanding more about an organization's data. Keystone AI has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. Responsibilities Configure, deploy, and administer Windows, Linux, AWS and containerized systems Build continuous integration and continuous delivery (CI/CD) pipelines Develop and operate performance and quality testing systems Diagnose unexpected results and work with the development team to create solutions Develop systems that mine and summarize operational data that can be used by development and product management to learn from usage patterns of the services Requirements 2+ years of related software development experience Experience with Windows administration and automation using tools such as PowerShell Background in Linux administration and automation using Shell, bash script, or Python Skilled at deploying, managing, and monitoring AWS instances Adept in continuous integration and deployment using tools such as Jenkins Experience developing scripts and tools for assembling operational data from services Background in loading, managing, and analyzing data in cloud databases such as AWS Redshift Trained in authoring of dashboards and reports Practical programming experience with Python or C# Experience with Infrastructure as Code (IaC) tools such as Terraform Familiarity with AWS technologies such as Lambda, CloudWatch, AWS Batch, SQS, and CloudFront Knowledge of Agile software development tools and methodologies Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, GIS, or related field Recommended Qualifications Familiarity with Microsoft Developer technology such as Visual Studio Microservices-based architectures experience, such as Docker and Kubernetes Background in deploying and administrating ArcGIS Enterprise systems Master’s degree in Computer Science, Engineering, Mathematics, Information Systems, GIS, or related field #LI-EL1 Total Rewards Keystone AI’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 $101,192 — $167,336 USD The Company At Keystone AI, 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 Keystone AI’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! Keystone AI 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. Keystone AI Privacy Keystone AI takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.