Available for consulting engagements
Artem Penner
Staff/Lead Platform Engineer β cloud, DevOps, and AI-assisted operations.
15+ years building and operating both cloud-native and classic infrastructure β Kubernetes, Terraform, service mesh, and observability across AWS, GCP, and Azure, alongside deep distributed-systems and database expertise. I lead and grow platform engineering teams, drive architecture RFCs and PoCs, and build reliability practices (SLOs, postmortems, disaster recovery) spanning Development, SRE, and Support.
I've built Internal Developer Platforms, GitOps delivery pipelines, and AI-assisted operational tooling that measurably cut toil, plus security hardening for regulated environments and FinOps cost optimization. I also bring a rarer depth in large-scale on-premises and hybrid datacenter operations β footprints of 2,000+ servers, 5,000+ VMs, and 19 datacenters.
Right now: leading a globally distributed Cloud DevOps team, running multi-cloud (AWS, GCP, Azure) infrastructure for a database platform at scale β architecture, GitOps delivery, observability, and AI-assisted operations tooling.
Technical skills
Cloud & Platform Engineering
IaC & GitOps Delivery
Observability & AI-Assisted Ops
Security & Compliance
Databases & Data Platforms
Reliability & FinOps
Certifications
- AWS Certified Solutions Architect β Professional
- Google Cloud Architect β Professional
- Red Hat Certified Engineer (RHCE)
A sample of the projects and problems I've worked on.
Multi-cloud database platform engineering
Own platform architecture for a distributed database-as-a-service product across AWS, GCP, and Azure (thousands of VMs) β reusable Terraform modules, GitOps delivery (Argo CD, Argo Workflows, GitHub Actions), and service mesh networking.
Current role
AI-assisted operations tooling
Built an AI ops assistant that correlates logs, metrics, and live cluster state through MCP servers with a per-cluster knowledge base β cutting first-level incident diagnosis time roughly 10x.
Current role
FinOps & cost optimization
Introduced automated stale-resource cleanup and cost-allocation tagging, cutting non-production cloud spend roughly 3x while giving every team real cost visibility.
Current role
Enterprise data lake platforms
Architected data lake platforms on AWS and GCP for enterprise clients in medical devices and pharma, building Python ETL pipelines across Glue, EKS, Step Functions, and Terraform.
EPAM
Custom storage platform replacing costly SAN
Designed and built a high-efficiency storage platform on OmniOS/ZFS with a custom REST API and OpenStack Cinder driver, retiring six commercial storage arrays.
Peter-Service (Nexign)
Telecom-scale infrastructure unification
Directed Unix and load-balancing operations across 19 datacenters (5,000+ VMs, 2,000+ physical servers), leading a 22-engineer team through a centralized billing-platform migration.
Megafon
Ways I can plug into your organization.
Cloud migration & architecture
Move workloads to AWS, GCP, or Azure; review existing cloud and project architecture; audit and optimize infrastructure costs.
CI/CD engineering
Build or optimize CI/CD pipelines β GitOps delivery, GitHub Actions, Argo CD/Workflows, and standardized deployment workflows.
AI integration for your organization
Bring agentic AI workflows into the business β internal tooling, MCP servers, and AI-assisted operations for engineering and support teams.
DevOps practices & consulting
Platform engineering, Internal Developer Platforms, and infrastructure as code that removes operational bottlenecks for your teams.
Monitoring & observability
Design end-to-end tracing, metrics, and logging β a unified, scalable observability platform and alerting that catches issues before customers do.
Compliance readiness
Prepare your environment for SOC 2 or other audits β security hardening, access control, network segmentation, and IaC governance.
Reliability & disaster recovery
Define SLOs/SLIs, build a postmortem/RCA practice, and design disaster-recovery plans for the services that can least afford downtime.
Something else on your mind? Let's talk.