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Overview If you’ve worked at a software company and enjoy building secure, scalable platforms, this DevSecOps Engineer role offers the chance to apply that experience to the world’s largest geospatial Software as a Service offering. In this role, you will help strengthen the security of modern engineering systems by supporting continuous compliance, continuous risk assessment, data encryption, monitoring, and alerting through infrastructure as code practices. We’re looking for a thoughtful, security-minded engineer who understands how software teams build and ship products and is excited to help shape the next generation of secure SaaS at Esri.  Responsibilities Build and maintain secure CI/CD pipelines and automation, using Infrastructure and Automation as Code Develop automation using Python, JavaScript, or similar languages (such as Go, Rust, Ruby) Integrate and administer security tooling (SAST, DAST, SCA) within development pipelines Implement and secure containerized workloads using Docker Define and operate monitoring, logging, and alerting across AWS and Azure Automate provisioning, configuration, and enforcement using AWS and Azure Management APIs Apply secure identity, authentication, and cryptographic practices, including OAuth 2.0, X.509 certificates, and key management Build automated tooling leveraging AI Integration (CoPilot, GPT, Claude, and more) to handle non-deterministic workloads Develop against the Microsoft Fabric Stack (SharePoint, PowerApps, Power Automate, Power BI) with an emphasis on security and automation, along with utilizing GitHub Actions Contribute to secure development standards, operational documentation, and support procedures Work across teams developing Esri’s SaaS, desktop, and enterprise server products, along with the extensions and apps hosted inside of them covering various domains of geospatial data and operations Work across a diverse set of development and CI/CD practices and technologies, utilizing a variety of software languages, to improve their security and compliance Requirements 2+ years of DevOps or DevSecOps engineering experience, preferably in cloud-based SaaS Experience with DevOps/DevSecOps practices, including IaC and automation-first design Experience building and operating CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI) AI driven exploit discovery & analysis, AI code review Proficiency with Linux and Windows, including Bash and PowerShell scripting Hands-on experience with Terraform and Ansible Experience integrating and automating web and cloud APIs Experience administering security tools and integrating them into pipelines Strong understanding of package management, dependency control, and supply-chain security Experience with Docker and container-based workflows Proficiency with Git/GitHub, including branching and code reviews Experience implementing monitoring, logging, and alerting in cloud environments Experience applying secure development practices in a SaaS environment Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S. Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field Recommended Qualifications Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related field Security or technical certifications (such as CISSP, SSCP, GIAC, CEH, OSCP) are desirable Experience with AI agents, AI-assisted development, and AI security Knowledge of security frameworks such as OWASP Top 10, SANS Top 25, BSIMM, and CISA Secure Development Guidance Experience integrating test automation (such as Selenium) into CI/CD pipelines Familiarity with compliance frameworks (NIST, ISO 27001, FedRAMP, FIPS) Experience supporting regulated environments and audit readiness Strong collaboration and communication skills