Email WitchOps New York Based · AZURE / TERRAFORM / GITHUB
Practical engineering. Smarter automation.
Senior DevOps / Platform Engineer
I turn complex infrastructure and delivery workflows into systems teams can understand, maintain and trust.
Open to Senior DevOps & Platform Engineering opportunities
START HERE
Start with the responsibilities
you’re hiring for.
AZURE / TERRAFORM
Professional application modernization plus inspectable infrastructure design.
The modernization article describes professional delivery. The Terraform foundation is an independent, mock-tested demonstration.
GITHUB / DELIVERY
Professional GitHub migration experience, with inspectable delivery and recovery demonstrations.
The migration case study describes professional delivery. Promotion and recovery use local demonstration resources.
PYTHON / LOCAL AI
Bounded model inputs, deterministic policy and evaluation results you can inspect.
Local model inference uses synthetic plans. The validated output remains advisory.
SELECTED CAREER IMPACT
30+
Owned the Azure DevOps and TFS migration, enabled GitHub Advanced Security, and converted classic pipelines to GitHub Actions.
>50%
Automated VM provisioning, Puppet installation, certificate management, node classification and initial configuration.
Bottomline Technologies · DevOps Engineer Lead
2015–2016
~95%
Standardized Linux configuration, middleware, security baselines and Puppet-driven provisioning workflows.
Bottomline Technologies · DevOps Engineer Lead
2015–2016
6
Led planning and execution across approximately 18–21 services and 4–6 environments, meeting target release dates.
PROFESSIONAL PROJECT / ENTERPRISE AI
Senior DevOps Consultant · Xebia
Levi Strauss & Co. AI Super Agent initiative
I helped extend established Azure infrastructure to support new AI services. The work involved upgrading shared Terraform modules without breaking existing IaC, developing compatible modules within established policies, and addressing networking and identity requirements.
01 / SELECTED WORK
Runnable demonstrations. Clear tradeoffs.
Evidence you can inspect.
A Terraform review needs questions that match the planned change. A local model selects from a fixed catalogue; Python checks those selections, and explicit policy rules decide when human review is required.
Inspect: the saved questions and final decision. Evidence: synthetic-plan evaluations and deliberately invalid responses exercise the response checks. The case study follows two model failures through their fixes.
OBSERVED LOCAL EVALUATION
Synthetic evaluation cases passed
in one Qwen 2.5 3B run
Separately constructed adversarial
validator probes rejected
A separate four-resource capture recorded 60.203 seconds of CLI wall time and 1,688 tokens.
Read results & limitations02 / GITHUB MIGRATION READINESS
Problem: a copied repository can hide missing or changed references. Inspect: the branch and tag comparison. Evidence: the local rehearsal detected missing, unexpected and mismatched references, including a changed tag annotation.
Azure DevOps collection uses simulated responses; Git reference rehearsals use real local repositories.
A repository copy can look complete while branches, tag objects or required ownership information differ. A migration needs explicit acceptance evidence and a way to represent what is still unknown.
An offline Python assessment tool, a read-only Azure DevOps collector and a disposable local Git rehearsal. Reports connect findings to evidence, accountable roles and next actions.
Compare annotated-tag objects separately from their target commits, and retain unknowns when collection cannot establish a fact. Keep the rehearsal local so it is repeatable without credentials.
The altered rehearsal copy exposed one missing ref, one unexpected ref and two mismatches, including a changed tag annotation. Windows and Linux produced identical release ZIPs; each extracted package passed 50 tests.
Matching refs is one acceptance check. LFS, permissions and platform metadata need separate verification. The collector’s live mode has not been exercised against a real organization.
Inspect the Git verification method03 / SECURE DELIVERY REFERENCE
Problem: a release needs a verifiable origin and a recovery procedure. Inspect: the signed-package checks and separate HTTP recovery lab. Evidence: trusted controls passed, invalid cases were rejected, and the recovery capture retained twelve healthy requests.
Recovery runs on disposable loopback services. No production deployment is claimed.
These are independent portfolio demonstrations. Azure configuration is mock-tested, and infrastructure rehearsals use disposable local resources. The AI results establish contract compliance on a small synthetic corpus; broader model quality and reviewer time savings remain unmeasured.
02 / EXPERIENCE & APPROACH
20+ years across software engineering, infrastructure and enterprise delivery. I bring application context to platform work—and a practical focus on what makes a team’s day better.
Make changes reproducible. Give failures useful explanations. Keep credentials away from untrusted code. Document recovery before it is needed.
Outside engineering, I’m a songwriter and fiction writer. Structure and imagination have a place in both kinds of work.
2023 — 2026
Xebia
Designed Terraform automation and Azure Landing Zone deployments. Migrated TFS, Azure DevOps and Bitbucket repositories, implemented GitHub Advanced Security, and developed agentic solutions in GitHub.
2021 — 2023
Cognizant
Led platform modernization, delivery automation and developer enablement. Mentored a remote team of five technical resources.
2016 — 2021
Healthcare technology organization
Led Azure modernization for healthcare applications, infrastructure automation, observability and disaster recovery planning.
PROFESSIONAL CASE STUDY / GITHUB MIGRATION
I owned the migration, enabled GitHub Advanced Security, converted classic pipelines to GitHub Actions, and created initial Terraform modules and automation examples. Delivery combined permitted automation, manual work and regular stakeholder coordination.
Read the flagship engineering articlePEOPLE / PRACTICES / DELIVERY
Led and mentored a remote team of five technical resources, coordinating delivery across distributed workstreams. Provided hands-on architecture guidance and technical training for cloud delivery, Infrastructure as Code and automated deployments.
Cognizant · 2021–2023Designed and implemented Terraform automation and Azure Landing Zone deployments to standardize provisioning. Integrated GitHub Advanced Security into developer workflows and led migrations from TFS and Azure DevOps to GitHub.
Xebia · 2023–2026Led Azure migration planning and execution for six applications across multiple services and environments, meeting target release dates. Designed, tested and documented disaster recovery procedures aligned with recovery time and data-loss objectives.
Healthcare technology organization · 2016–202103 / TECHNICAL FOUNDATION
Azure · Terraform · Azure Landing Zones · ARM Templates · Linux · Windows Server
Azure DevOps · GitHub Actions · GitHub Advanced Security · GitOps · Repository migrations
Python · PowerShell · Bash · Puppet · Dynatrace · Grafana
04 / LET’S TALK
I’m looking for Senior DevOps and Platform Engineering opportunities where I can improve cloud delivery, build useful automation and help teams do their best work.