Software Development Engineer II – Test Automation Infrastructure

Overview Build the next generation of ArcGIS Enterprise , a suite of products delivering state-of-the-art mapping and analytics capability to thousands of enterprise organizations and millions of users worldwide. Our team builds cutting-edge, highly scalable, and fault-tolerant distributed software for on-premises and cloud environments. We are seeking a Software Engineer II specialized in Test Automation Infrastructure to drive automated quality engineering for ArcGIS Enterprise across all our supported platforms. In this role, you will not simply execute test plans - you will write the software, frameworks, and DevOps pipelines that continuously validate complex multi-node systems, APIs, and high-throughput data workflows. Responsibilities Architect, design, and implement scalable, reusable automated test frameworks from scratch in Python, Java, C++, or C# to validate functional, performance, scalability, and durability metrics Build, optimize, and maintain continuous integration pipelines (using Jenkins, GitHub Actions, Chef, etc.) to deploy, schedule, and execute automated test suites daily against supported graph DBMS platforms and cloud deployments Author robust, code-level automated integration test suites targeting REST, gRPC, and native system APIs to validate Knowledge Graph queries, link analysis algorithms, and complex backend workflows to validate system’s GIS and readiness capabilities Design and maintain reporting infrastructure, automated telemetry tools, and visual execution dashboards (e.g., Grafana, custom web UI) to deliver immediate visibility into build quality, performance regression, and code coverage Perform rigorous peer reviews of test code, apply object-oriented design patterns, and continuously refactor test codebases to maintain high developer standards Partner directly with Core Software Developers and Product Engineers to evaluate system architecture, identify edge cases, establish code coverage standards, and eliminate manual testing bottlenecks Requirements 2+ years of professional software development experience using Python, Java, C++, or C# Strong proficiency in object-oriented programming (OOP) principles, design patterns, and clean code authoring Proven track record of building, extending, and maintaining test automation frameworks from scratch (using PyTest, JUnit, TestNG, or custom tools) rather than solely running pre-existing scripts Hands-on experience creating, configuring, and scheduling automated pipelines using Jenkins, GitHub Actions, Docker, or Chef Strong proficiency in code-level API testing (REST/gRPC) and working with relational, graph, or NoSQL database management systems Bachelor’s degree in Computer Science, Software Engineering, GIS, Data Science, Mathematics, or a related field Recommended Qualifications Master’s degree in computer science, engineering, GIS, data science, network science, mathematics, or related field Experience validating multi-node distributed systems, microservices, or cloud-native infrastructure (AWS/Azure) Experience writing technical documents for a variety of audiences Experience in authoring and reporting test results in graphical forms and dashboards #LI-TA1 #LI-Onsite 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. A reasonable estimate of the base salary range is $101,192 — $167,336 USD The Company At Esri, diver…