• Develop and maintain software systems using technologies such as C++, Python, AFSIM, web services, databases, and web applications. • Architect, implement, and configure the M&S DevSecOps platform for both cloud and on-premises environments, tailored to application, user, or site requirements. • Apply DevSecOps tools and processes, including GitLab, SonarQube, Fortify, and other CI/CD and security automation platforms. • Lead platform development efforts, including core platform services and Infrastructure as Code (IaC) implementations. • Design and maintain systems to ensure high reliability, availability, and performance across distributed environments. • Provide engineering support for transition activities, ensuring legacy attributes are effectively migrated or modernized. • Collaborate with Government and Contractor teams to ensure technical alignment with mission objectives.

• Support and evolve the reliability of platforms used by the AI Research team • Ensure production services meet expectations for availability, latency, and operational readiness • Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems • Work closely with researchers and engineers in a cross-functional setting • Participate directly in team planning and execution, from early exploration through production rollout • Help researchers self-serve infrastructure safely and effectively • Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps • Own and improve CI/CD pipelines for services written primarily in Go • Design and operate observability systems using tools such as Datadog • Participate in an on-call rotation (relatively light)

• Embed security controls into CI/CD pipelines and engineering workflows • Integrate and operate security controls across CI/CD pipelines • Implement and manage SAST/DAST • Establish secure build and release practices • Drive remediation workflows with developers

• Use your shift to prevent incidents from ever happening. • Run our infrastructure with AWS, Docker and Kubernetes. • Make monitoring and alerting alert on symptoms and not on outages. • Document every action so your findings turn into repeatable actions–and then into automation. • Improve the deployment process to make it as boring as possible. • Design, build and maintain core infrastructure pieces that allow Scentbird scaling. • Debug production issues across services and levels of the stack. • Plan the growth of Scentbird’s infrastructure.