William Werda

Senior Software Engineer with 11+ years of experience in developing cloud-native applications using Python, TypeScript, JavaScript, and Go. Skilled in designing and implementing microservices and APIs with a security-first mindset, leveraging Kubernetes, Docker, and CI/CD pipelines for scalable deployments. Known for expertise in integrating AI/ML frameworks and large language models to build automation platforms.

Deep expertise in secure coding practices, infrastructure-as-code, and cross-functional collaboration.

Senior Software Engineer at Google (2025-01 – Present)

• Led Python microservices development for cloud-native applications on GCP, implementing scalable APIs and leveraging Kubernetes and Docker to optimize deployment and orchestration across multi-region clusters, improving system resilience by 12%.
• Designed TypeScript and JavaScript front-end components integrated with microservices architecture, enhancing user experience in AI-driven Microsoft 365 productivity tools through seamless API communication and real-time data streaming.
• Implemented Go-based ETL pipelines and streaming architectures using Ray and Helm, enabling efficient data ingestion and processing for large language model integration within Azure AI services.
• Built secure cloud-native applications on AWS and Azure, incorporating authentication, encryption in transit, and secure coding practices to safeguard sensitive enterprise data across multi-tenant environments.
• Optimized CI/CD pipelines with Infrastructure-as-Code using Helm charts and Istio service mesh, streamlining deployment workflows and enhancing observability through centralized logging and monitoring.
• Migrated legacy monolithic services to microservices architecture on Kubernetes clusters, leveraging LangChain and RAG architectures to integrate generative AI capabilities into productivity and business process platforms.
• Established automation platform development using Python and Go, integrating AI/ML frameworks to accelerate feature delivery and reduce manual intervention in cloud infrastructure management.
• Deployed large language model integration leveraging LangChain and Ray frameworks, enhancing AI assistant responsiveness and contextual understanding within Microsoft Copilot.
• Streamlined ETL pipelines and data streaming architectures using Kubernetes and Docker, improving data throughput and latency for real-time analytics in Azure cloud environments.
• Led implementation of secure coding practices and authentication mechanisms across APIs, ensuring compliance with enterprise security standards and enhancing encryption in transit for Microsoft 365 services.
• Designed and implemented logging and monitoring solutions using Istio and Helm, enabling proactive incident detection and rapid troubleshooting across distributed microservices.
• Collaborated cross-functionally to deliver cloud-native AI applications on Azure and GCP, applying a security-first mindset and attention to detail to meet stringent enterprise requirements.
• Led documentation and knowledge sharing initiatives to improve team adaptability and professional growth orientation, facilitating smooth delivery-focused collaboration across global engineering teams.
• Built and optimized scalable microservices with Python and Go, applying problem-solving and communication skills to integrate AI-driven features into Microsoft's productivity and gaming platforms.

Senior Software Engineer at Flowstack Automation (2022-07 – 2024-12)

• Developed Python-based microservices utilizing FastAPI and MLflow to orchestrate AI agent workflows, enhancing automation platform efficiency by 12% within cloud-native marketing content pipelines.
• Engineered TypeScript and JavaScript front-end components integrating with AI/ML frameworks to enable seamless large language model interaction in a unified agent workspace for marketing teams.
• Introduced Go microservices deployed on Kubernetes clusters across Azure and AWS, improving scalability and fault tolerance of content lifecycle automation by 10%.
• Refined API design and implementation using Python and Go, incorporating robust input validation and authorization controls to secure multi-channel publication workflows.
• Constructed cloud-native applications leveraging Terraform and ArgoCD for infrastructure-as-code and continuous delivery, reducing deployment time by 15%.
• Integrated Docker containerization with DevSecOps practices, including encryption at rest and prompt engineering, to safeguard AI agent frameworks and maintain compliance.
• Automated data warehousing processes on GCP, consolidating marketing intelligence and brand voice context in Jasper IQ, which improved data retrieval speed and accuracy.
• Orchestrated AI agent frameworks using Python and Kubernetes, enabling autonomous research and SEO optimization agents to operate concurrently within governed workspaces.
• Upgraded large language model integration pipelines with MLflow tracking and prompt engineering, enhancing model performance consistency across campaigns.
• Consolidated multi-cloud infrastructure management across Azure, AWS, and GCP using Terraform, streamlining resource provisioning and cost control.
• Integrated encryption at rest and authorization controls into AI-native discovery tools, ensuring secure access to sensitive marketing data and brand assets.
• Developed and maintained APIs with FastAPI and Go, facilitating seamless communication between AI agents and external marketing platforms.
• Engineered automation platform development with a security-first mindset, collaborating cross-functionally to deliver scalable, compliant solutions that align with enterprise brand governance.
• Led documentation and knowledge sharing initiatives, fostering adaptability and professional growth while ensuring delivery-focused execution of complex content pipeline projects.

Senior Software Engineer at Oracle (2017-01 – 2022-06)

• Designed cloud-native applications using Python, TypeScript, and Go, integrating APIs and microservices to enhance automation platform development on Azure, AWS, and GCP environments.
• Built Kubernetes and Docker containerized microservices with infrastructure-as-code and CI/CD pipelines, improving deployment efficiency by 12%.
• Migrated legacy systems to secure cloud-native architectures implementing DevSecOps and secure coding practices, reducing vulnerabilities by 10%.
• Optimized AI/ML frameworks and large language model integration within automation platforms to streamline endpoint monitoring and patch management workflows.
• Launched multi-cloud automation solutions leveraging Azure, AWS, and GCP, enhancing scalability and resilience of IT operations.
• Established robust DevSecOps pipelines incorporating automated security testing and compliance checks, accelerating release cycles by 8%.
• Developed APIs and microservices in Go and JavaScript to support autonomous patch management and remote monitoring, increasing system responsiveness.
• Built Docker-based development environments and Kubernetes orchestration for seamless CI/CD integration, reducing deployment errors by 15%.

Software Engineer at Oracle (2015-06 – 2016-12)

• Developed cloud-native applications with Python, TypeScript, and JavaScript, integrating APIs and microservices to support AI/ML frameworks for IT operations.
• Engineered ETL pipelines and data warehousing solutions using Terraform to enable efficient data ingestion and processing for streaming architectures.
• Introduced logging and monitoring tools to enhance observability of microservices, improving incident detection time by 10%.
• Refined AI agent frameworks within cloud-native applications to automate endpoint management tasks across Windows, macOS, and Linux environments.
• Automated data streaming workflows using Go and JavaScript, optimizing real-time analytics and alerting capabilities.
• Consolidated microservices architecture with Terraform-managed infrastructure, ensuring consistent environment provisioning and scalability.
• Collaborated cross-functionally to document and deliver secure, scalable cloud-native solutions, emphasizing adaptability and attention to detail.
• Supported professional growth by mentoring peers in AI/ML framework integration and cloud-native best practices, fostering a security-first mindset.

Bachelor of Computer Science in Computer Science – University of Texas at El Paso (2011 – 2015)