camzabriskie.com

Cameron Zabriskie

Senior DevOps engineer · cameron.zabriskie@gmail.com · LinkedIn · github.com/czabriskie

Experience

Senior DevOps Engineer

2024 – present

ZONTAL

  • Migrated the company's public website from an external agency to self-hosted Cloudflare Pages with edge-native services — authored the architecture design, designed the GitHub Actions CI/CD pipeline, hardened security (WAF, CSP, HSTS), and managed the DNS cutover.
  • Established the organization's first SLIs/SLOs for platform applications, now the applications team's reliability baseline — profiled production services with custom instrumentation and k6 load tests, uncovered a confirmed memory leak and CPU-bound rendering bottlenecks, and proposed the prioritized fixes.
  • Designed and prototyped Kubernetes autoscaling (Karpenter + KEDA) for ~15 first-party applications, moving them off fixed-replica node groups onto demand-driven infrastructure — including a Redis-backed session-count metric that combines with CPU signals to catch blind spots either signal misses alone, validated end-to-end with a synchronized Playwright + k6 harness.
  • Found and quantified major AWS cost leaks: an audit across two regions showing 82% of load-balancer target groups (3,170 of 3,876) were orphaned, and a root-cause diagnosis of an Elastic IP leak from mismatched Lambda/SQS/NAT timeouts, with self-healing fixes designed for both.
  • Centralized environment deployment configuration in Git (Helm, Ansible, GitLab CI) and coordinated the application-deployment workstream for a major platform upgrade across multiple enterprise customer environments, standardizing previously inconsistent per-customer deployments.

Adjunct Professor, Cloud Computing (IS 3600)

Aug 2025 – present

Utah State University

  • Designed and teach a semester-long cloud computing course covering IAM and security, Docker and ECR, EC2, Lambda with EventBridge and API Gateway, ECS/Fargate, EKS, CloudFormation and AWS CDK, RDS/Redshift/DynamoDB, SQS/SNS, and CloudWatch observability.
  • Built the curriculum, lecture videos, and hands-on assignments from scratch, with interview-style assessments aimed at making the material transfer directly to students' jobs.
  • Manage teaching assistants and run open office hours across the semester.

Senior Software Engineer

May 2023 – 2024

ZONTAL

  • Developed parsers and viewer applications for scientific instrument data — mass spectrometry, chromatography, plate readers, flow cytometry, and qPCR — on a life-sciences data platform.
  • Worked directly with pharma and biotech customers and subject-matter experts to drive projects toward real customer impact.
  • Managed software releases and documentation, and drove development-process improvements that raised team velocity.

ML / Data Engineer

Apr 2022 – May 2023

Biolexis Therapeutics

  • Built the company's CI/CD pipeline (JetBrains Space, Docker, AWS) deploying to Lambda, ECS Fargate, and S3, and converted all manual AWS deployments to infrastructure-as-code with AWS CDK.
  • Integrated Anyscale for distributed processing jobs, cutting runtimes from weeks to under a day.
  • Built APIs and ELT pipelines serving graph, relational, and NoSQL data; supported small-molecule docking and molecular-dynamics applications (AutoDock, ICM, Gold, PyRosetta, OpenMM).

Data Scientist / ML Engineer

Jan 2019 – Apr 2022

Progrexion

  • Developed a survival-analysis model predicting subscription-cancellation hazard, guiding retention resources and quantifying turnover.
  • Built and deployed a gradient-boosting model (Heroku) prioritizing negative credit items per client for the credit-repair systems.
  • Built an HR data warehouse and near-real-time reporting system on MS SQL Server, SharePoint, and SSRS.

Data Science Adjunct Professor

Aug 2020 – May 2022

Brigham Young University

  • Developed and taught a course on deploying data-science applications: Git, Docker, scikit-learn, pytest, Flask, AWS Elastic Beanstalk.
  • Mentored students building data-science solutions with local businesses.

Education

MS, Data Analytics

2018

Utah State University

BS, Biological Engineering · Computer Science minor

2017

Utah State University

Skills

  • AWS
  • Kubernetes / EKS
  • Terraform
  • Ansible
  • Helm
  • Karpenter
  • KEDA
  • GitLab CI
  • Docker
  • Prometheus / Grafana
  • k6
  • Python
  • AWS CDK
  • Lambda
  • ECS
  • SQL
  • Snowflake
  • scikit-learn
  • pandas
  • Flask
  • pytest
  • R
  • Git
  • Linux