Alex Wise

- Introduced unit-costing and chargeback for all business units across GCP, AWS, DataDog, and other SaaS spend, empowering leadership to make decisions around cost-initiatives. Also led several general cloud right-sizing campaigns to reduce cloud spend by 30%. - Architected and built a data pipeline to drive agentic LLM search and analysis capabilities on GCP BigQuery, Dataproc, and Datastream, as well as CockroachDB and Databricks. Sub-100ms latency for production data changes to be queryable for insights in sandbox. - Engineered Delivery and reliability monitoring solutions for payment processing system built on Temporal, CockroachDB, GKE, and other SaaS providers. Create chaos engineering/continuous verification approaches to improving resilience. - Maintained, supported and developed GKE, AWS, and Azure environments using Terragrunt and Terraform, ensuring a source of truth for infrastructure - Participated on AI Leadership Council: performing research, demos, and presentations to help engineering and broader leadership understand and drive adoption of AI-powered development tools.

- Led the design and delivery of Chaos Engineering resilience testing solutions for a 5G packet core, significantly enhancing the reliability and stability of DISH Wireless’ 5G environment. Press Release 1 Press Release 2 - Developed four chaos engineering features for customer production environments, to detect common resilience issues in Kubernetes and Kafka - Built integrations for multiple CI/CD and DevSecOps platforms, including GitLab, GitHub Actions, Weaveworks Flux, and Terraform. - Worked with multiple identity and operations teams to integrate with commercial-off-the-shelf and bespoke SSO and Monitoring solutions, including Datadog, Pagerduty, Amazon Cloudwatch, Okta, Auth0, GSuite, GitLab, and Slack - Developed a solution for automated testing of "Cloud-Readiness" of 5G Network Functions, which was presented in a talk at KubeCon EU titled "Corralling the CNFs" - Built a Retrieval-Assisted Generation chat assistant using Pinecone and Langchain to answer natural-language queries about resilence and security capabilities in the 3GPP specification.

- Built a sparse-tree point-cloud data model for storing digital twin location and localization data, fed by Amazon Kinesis and RTI Connext DDS. - Engineered robust CI/CD solutions for various projects, both on-premises and in the cloud, bolstering software development efficiency and reducing time-to-market. - Completed migration of existing CI/CD infrastructure from GitHub/Jenkins to GitLab. - Contributed to the maintenance and support of the MapQuest backend infrastructure, ensuring high reliability and seamless performance of critical systems. - Presented on a range of technical topics including Kubernetes Development Tooling, Cloud Development Environments, and Integrating OpenTelemetry as part of a biweekly Architecture Lunch-and-Learn meeting, promoting knowledge sharing and fostering a culture of continuous learning within the organization. - Designed and built ML model-training and deployment pipelines using kubeflow and AWS native services (Lambda Step Functions, Ground Truth, SageMaker Pipelines) to deploy to both cloud and Multiaccess Edge Compute environments.