• Design and implement scalable Azure-based solutions supporting large fleets of connected IoT devices. • Define Cloud Architecture standards, deployment patterns, and operational best practices. • Design secure service-to-service and device-to-cloud Azure Cloud resource solutions. • Review Cloud Architecture proposals and implement Cloud resource solutions. • Design, develop, and maintain Terraform-based infrastructure deployments. • Design and support Docker-based application builds for on-prem kiosks as well as the development team • Design and support Docker-based deployment, versioning, and release strategies. • Support containerized workloads operating in edge environments • Design and maintain Azure DevOps CI/CD pipelines. • Design, maintain, and implement versioning strategies. • Implement automated build, test, deployment and release processes. • Work with Security to establish secure authentication, authorization, and secret management strategies

• Support field sales in helping customers understand the value of the Kong API/Connectivity Management platform. • Understand customer requirements and how the Kong platform can help. Grow trusted client relationships throughout the entire sales lifecycle, from initial product reviews to production. • Support PoCs throughout the entire evaluation process. • Ensure 100% customer satisfaction across assigned set of accounts. • Prioritize customer needs and coordinate with support, product, and engineering teams to help support customer needs. • Create technical documentation for DevOps, implementations, and services engagements. • Support top-of-funnel marketing by creating blogs, webinars, and participating in trade shows and field events. • And any additional tasks required by manager.

• Support field sales in helping customers understand the value of the Kong API/Connectivity Management platform. • Understand customer requirements and how the Kong platform can help. • Support PoCs throughout the entire evaluation process. • Ensure 100% customer satisfaction across assigned set of accounts. • Prioritize customer needs and coordinate with support, product, and engineering teams. • Create technical documentation for DevOps, implementations, and services engagements. • Support top-of-funnel marketing by creating blogs, webinars, and participating in trade shows and field events.

• Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met. • Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler. • Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy. • Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle. • Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines. • Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers. • Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth.