Fred Thomsen

Technical lead and owner of an enterprise automation platform built on Apache Airflow, driving AI-powered workflow orchestration and release engineering across complex business systems.

• Designed and maintained a scalable automation platform supporting end-to-end workflow orchestration across multiple business domains
• Designed reusable modules and packages enabling rapid development and consistency across automation pipelines
• Built and optimized CI/CD pipelines for continuous deployment of platform updates
• Owned release processes and deployment automation, ensuring reliable and repeatable delivery
• Incorporated AI/ML components into workflow automation to enhance testing and validation capabilities
• Provided architectural guidance and enforced platform standards across the codebase
• Conducted PR reviews and mentored engineers on best practices
• Translated high-level client objectives into technical roadmaps and priorities
• Managed backlog, distributed workload, and coordinated cross-functional delivery

Worked on a team to develop enhancements/future of infrastructure monitoring product (SL1).

• Developed SL1 receiver and AWS Timestream exporter OTEL components in Go to extract metric data from infrastructure monitoring platform
• Worked on functionality to egress data and add data analytics via services processing data running in EKS
• Ensured AI prediction algorithms had easy and rapid access to appropriate metrics data in Clickhouse
• Automated deployment environment leveraging Terraform and Ansible

Led working group to improve developer experience:

• Set gilded path for Python project structure and tooling with automated PR updates via GitHub Actions
• Created company-wide base containers compliant with FedRAMP and security best practices
• Maintained database test containers for MariaDB, Aurora/MySQL for service validation

Led team developing automation tools for the provisioning, deployment, maintenance, and reporting for customer infrastructure environments.

• Led the move to utilizing and contributing to Apache Airflow 2.x
• Created and maintained DAGs in Apache Airflow to automate deployments of infrastructure resources in cloud and on-prem VMware environments with DAGs utilizing Ansible and Terraform
• Created and maintained DAGs in Apache Airflow to automate report generation for Operations and Executive teams containing actionable data
• Set policy for best practices in coding, testing, and containerization
• Led initial effort to move various components onto k8s

Discussed and developed product strategy and future roadmap w/CTO and CSO to ensure consistent and repeatable practices across all customers to enable easier automation.

Led team that enhanced and maintained the core SL1 IT device monitoring functionality.

• Enhancing on-boarding of new monitored devices/services by more accurately determining duplicates
• Improving the performance of normalized data generation and standard deviation alerting by using single-pass methods
• Expanding the platform to allow new metrics to be collected more dynamically that were previously only available via SNMP
• Creating generic task scheduling fronted by an API to replace various task-specific scheduling systems

Implemented enhanced security for infrastructure monitoring product in order to meet UCAPL requirements.

Developed extended functionality to infrastructure monitoring by offloading of performance time-series data post-processing to microservices running in k8s.

• Streaming data from core system to endpoint that pushed data into Kafka
• Developing processing and storage services for different types of device/service performance data

Led team that developed and maintained monitoring integrations (PowerPacks) for SL1 product.

• Expanding infrastructure monitoring's device/service functionality via these pieces of functionality written in Python by interacting with vendor APIs and transforming to proper data model
• Main integration work done around Cisco products such as ACI, UCS, VOS, and UCS Director along with integrations for AWS, VMware, Aliyun

Developed software components on Aero Development Team for the Jupiter satellite project.

• Developed embedded software for Jupiter terminals using C and C++ in Linux
• Developed antenna command and control interface service based on OpenAMIP protocol

Developed and maintained software components on Satellite Terminal (ST) Development Team for the Spaceway satellite project.

• Developed and maintained embedded software on VxWorks OS for Spaceway satellite terminals
• Modified internal IPSec module to gain FIPS 140-2 Level 1 certification
• Added QoS support for VoIP communications on satellite
• Enhanced NAT performance on terminal
• Performed network protocol debugging utilizing Wireshark