01 / Summary
DevOps & Platform Engineering, built for production.
Platform engineer running production EKS and extending it with an AI platform layer — Amazon Bedrock model access, an AI PR-review bot across 30 repos, and internal MCP servers that put cluster operations behind RBAC-scoped, audited access.
Terraform IaC and GitOps delivery, with peer review and automated rollback on every path to production.
02 / Experience
Where I've worked
Platform Engineer
01/2023 — Present
Rally Health · Chicago, IL · Hybrid
- Shipped an AI PR-review bot across 30 repos (Claude Code, GitHub Action) that checks each PR against its Jira acceptance criteria and blocks merges on exposed secrets, cutting review turnaround from days to hours.
- Built and operate the AI platform layer for engineering — integrating managed model access (Amazon Bedrock) alongside internal tooling that lets teams adopt AI-assisted development safely.
- Built internal MCP servers exposing cluster state and routine ops to AI agents behind RBAC-scoped, fully audited access, moving engineers off ticketed kubectl access onto self-serve queries.
- Migrated delivery to GitOps (ArgoCD + GitHub Actions): deploys went from weekly to daily, manual release steps became peer-reviewed PRs, and rollback dropped to under 15 minutes.
- Consolidated alerting onto Prometheus/Grafana with Datadog dashboards and PagerDuty routing, cutting noisy pages and shortening on-call diagnosis time.
- Expanded the platform into a second AWS region, designing for multi-region resilience and failover so a regional outage no longer takes production down.
- Shared the on-call rotation, running blameless postmortems and closing out repeat incidents so the same failure didn't page the team twice.
DevOps Engineer
12/2020 — 01/2023
Sonos · Remote
- Converted a console-built AWS estate to peer-reviewed Terraform modules, importing existing resources with no downtime and turning new-environment stand-up into a same-day process instead of a multi-day one.
- Built the first CI/CD pipelines (GitHub Actions, Docker) with automated testing and artifact promotion across dev, staging, and prod, moving releases from monthly hand-offs to weekly.
- Stood up on-call from nothing: Prometheus, Grafana, and CloudWatch dashboards plus a runbook library covering the top failure modes, replacing tribal knowledge during outages.
- Documented platform decisions and rollout plans so product and engineering teams knew what was changing and why.
03 / Skills
Tools & technologies
Cloud & Infra
AWS EKSEC2VPC
IAMCloudWatchSecrets Manager
LinuxDockerKubernetes
HelmRBACOIDC
IaC & CI/CD
Terraform
ArgoCDGitHub Actions
GitOps
Observability
PrometheusGrafanaAlertmanager
DatadogPagerDuty
AI / Agentic
Claude CodeMCP serversAmazon Bedrock
Agentic workflow designAI-assisted incident response
Scripting
PythonBash
04 / Credentials
Certifications & education
Certifications
AWS Certified Solutions Architect – Associate
Amazon Web Services
HashiCorp Certified: Terraform Associate (004)
HashiCorp
CKAD — Certified Kubernetes Application Developer
The Linux Foundation
Education
Master's Degree, Management of Foreign Economic Activity
Vasyl Stefanyk Precarpathian National University
Bachelor's Degree, Accounting and Auditing
Ternopil National Economic University
05 / Contact
Let's talk about your platform.
Open to Platform Engineer / DevOps roles and conversations about cloud infrastructure, GitOps, and AI-assisted operations.