German Sedlenek
IT Specialist
4+ years ML exp
20+ projects
JavaScript
Python
SQL
TypeScript
Node JS
PHP
Java
C#
Go
Ruby
Scala
CI/CD Pipelines: 5/10
Infrastructure as Code: 5/10
Containerization & Orchestration: 5/10
Active 10 days ago
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Overview
Technical skills
Timeline
Roles
Overview
A practitioner focused on cloud infrastructure and platform work at a solid middle level. The strongest proven skill is authoring modular, tested Terraform and Kubernetes platform artifacts - exemplified by the production-environment Terraform modules with input validation and the kind-based CI that runs smoke tests and a rollback demo. What is not evidenced are remote state/locking practices, formal incident postmortems/runbooks, SLO-driven alerting, or large-scale multi-team platform design artifacts.
Technical skills
JavaScript
Python• Middle
SQL
TypeScript• Junior • 3y+ • 3 projects
Node JS• Junior • 3y+ • 3 projects
PHP• Junior • 2 projects
Java• Junior • 3 projects
C#• Junior • 5+ projects
Go• Junior • 2 projects
Ruby
Scala
Python
FastAPI
SQLAlchemy
Uvicorn
C#
.NET
AI/ML
ChatGPT• 4y+ • 20+ projects
DeepSeek• 3y+ • 20+ projects
Claude• 3y+ • 20+ projects
AutoGen
Computer Vision
CrewAI
LangChain
LlamaIndex
NLP
RAG
DevOps
CI/CD
Docker
Git
GitHub Actions
Rest API
Terraform
Kubernetes
AWS
Containers
kind
AWS Fargate
Nginx
Alpine Linux• 3y+ • 1 project
Trunk-Based Development• 3y+ • 2 projects
Apache HTTP Server• 3y+ • 5+ projects
Platform Engineering
QA
Chrome DevTools
Postman
Swagger
Pytest• 3y+ • 5+ projects
Databases
Databricks
Frontend
React.js
Timeline
Technical Support Specialist — Enterprise Applications
•
Middle
AFLT-Systems LLC (Aeroflot Group)
•
Full-Time
Provide technical and application support for users of enterprise aviation information systems.
• Receive, register, investigate, and resolve user service requests.
• Classify and route incidents to responsible technical teams.
• Install, configure, maintain, and update workplace application software.
• Support Windows workstations and troubleshoot software, access, and equipment issues.
• Configure and support peripheral devices, including printers, scanners, and card readers.
• Consult users on enterprise information systems, workplace software, and connected equipment.
• Document completed work and recurring technical issues.Provided IT troubleshooting for office users, including hardware, software, account access, and connectivity issues. Deployed and maintained Windows workstations, installed updates, and handled basic repairs and diagnostics. Managed Active Directory accounts and permissions and supported Wi‑Fi, peripherals, and basic server equipment for office operations and video conferencing.
System Administrator
•
Middle
JSC KEMZ Concern Moscow Branch
•
Full-Time
Supported office users with hardware, software, account access, and connectivity issues. Deployed and maintained Windows workstations, installed required applications and updates, and performed routine diagnostics and minor repairs. Administered Active Directory user accounts and permissions and supported Wi‑Fi and internet troubleshooting. Helped with office peripherals, basic server equipment, CCTV camera connections, and video conferences.
Administrative and Logistics Intern
•
Junior
Russian Union of Rural Youth
•
Internship
Maintained inventory records and updated warehouse data. Contacted participants to confirm attendance and supported event coordination. Handled day-to-day administrative and logistics tasks with an emphasis on data accuracy.
IT Support Intern
•
Junior
Keldysh Research Center
•
Internship
Installed and connected LAN cabling and assisted with organizing network cabinet patching. Assembled, cleaned, and maintained desktop and laptop computers, performing basic hardware diagnostics. Supported workstation setup to ensure employees had working IT equipment.
Data Processing Intern
•
Junior
Prosveshcheniye Publishing House, JSC
•
Internship
Entered, validated, and structured data using Microsoft Excel, including checking links for availability and relevance. Organized and reviewed materials for internal use and publication while focusing on accuracy and compliance with requirements.
Middle DevOps Engineer
Confidence: Medium Cloud Architect
A practitioner focused on cloud infrastructure and platform work at a solid middle level. The strongest proven skill is authoring modular, tested Terraform and Kubernetes platform artifacts - exemplified by the production-environment Terraform modules with input validation and the kind-based CI that runs smoke tests and a rollback demo. What is not evidenced are remote state/locking practices, formal incident postmortems/runbooks, SLO-driven alerting, or large-scale multi-team platform design artifacts.
CI/CD Pipelines
5/10
Automated build and deploy
CI/CD pipelines demonstrate solid static-validation, mocked planning, concurrency controls, and a kind-based smoke test with diagnostics, but lack advanced pipeline features such as reusable workflows, signed artifacts, matrix/retry strategies and remote deploy gates.
Evidence
terraform-aws-production-environment/.github/workflows/terraform.yml: static-validation job with mocked plans and TFLint/Checkov runs
terraform-docker-local-environment/.github/workflows/terraform.yml: plan job that renders and uploads a human-readable plan
kind-three-tier-platform/.github/workflows/ci.yml: kind-smoke job that runs cluster creation, smoke tests, rollback-demo and collects diagnostics
Infrastructure as Code
5/10
Managing servers with code
Infrastructure as Code is modular and tested - multiple Terraform modules, input validation, provider lockfile and tftest-backed mocked plans are present - but remote state/locking, state migration handling and explicit environment-isolation backends are not evidenced.
Evidence
terraform-aws-production-environment/modules/network/main.tf: modular VPC, subnets, NAT and flow-log resources
terraform-aws-production-environment/modules/service/main.tf: ECS/Fargate service, task definition, ALB and autoscaling policy
terraform-docker-local-environment/tests/configuration.tftest.hcl: mocked Terraform tests asserting outputs and plan behavior
Containerization & Orchestration
5/10
Working with containers
Containerization and orchestration artifacts show multi-stage Dockerfiles, non-root users, read-only filesystems, resource requests/limits, tuned probes and Pod anti-affinity - good production-minded defaults - but no evidence of operators/CRDs, GitOps automated sync, nor documented HPA/PDB policies beyond README claims.
Evidence
kind-three-tier-platform/api/Dockerfile: multi-stage build and non-root runtime user
kind-three-tier-platform/kubernetes/base/api.yaml: startup/readiness/liveness probes, podAntiAffinity, non-root securityContext and lifecycle preStop
kind-three-tier-platform/kubernetes/base/postgres.yaml: StatefulSet with volumeClaimTemplates, startupProbe and resource tuning
Observability & Monitoring
3/10
Watching system health
Observability is present at a basic level - CloudWatch log groups, awslogs container configuration and CI diagnostics collection exist - but no evidence of SLOs, burn-rate alerts, structured tracing or alert routing/inhibition policies.
Evidence
terraform-aws-production-environment/modules/service/main.tf: aws_cloudwatch_log_group and awslogs container log configuration
terraform-aws-production-environment/modules/network/main.tf: optional VPC flow logs to CloudWatch
kind-three-tier-platform/.github/workflows/ci.yml: CI step that collects kubectl logs and events for diagnostics
Reliability & Incident Response
5/10
Keeping systems up
Reliability practices are visible - controlled rollbacks demonstrated in CI, smoke tests run in ephemeral kind clusters, and pods include graceful shutdown and long startup probes - but there are no public postmortems, DR rehearsal evidence, or formal runbooks tied to incidents in code.
Evidence
kind-three-tier-platform/.github/workflows/ci.yml: kind-smoke job running smoke tests and rollback-demo
kind-three-tier-platform/kubernetes/base/api.yaml: startupProbe with long failureThreshold and lifecycle preStop sleep demonstrating graceful shutdown
Cloud & Cost Optimization
4/10
Smart use of the cloud
Cloud and cost controls are acknowledged - runtime and NAT gateway creation are opt-in, autoscaling target/policy is configured and S3 lifecycle/versioning is set - but there is no evidence of remote rightsizing metrics, spot strategies, measured cost reports or IAM least-privilege audits beyond scoped policies.
Evidence
terraform-aws-production-environment/variables.tf: enable_runtime and enable_nat_gateways are opt-in and validated
terraform-aws-production-environment/modules/service/main.tf: aws_appautoscaling_target and target-tracking scaling policy for ECS
terraform-aws-production-environment/modules/storage/main.tf: S3 lifecycle configuration and versioning
Expertise
Infrastructure as Code• Middle
CI/CD & Pipeline Automation• Middle
Cloud Platforms & Architecture• Middle
Kubernetes Ecosystem• Middle
Technologies
Containers
Python• Middle
Terraform
SQLAlchemy
GitHub Actions• 3y+ • 5+ projects
FastAPI
AWS
Kubernetes
Nginx
Uvicorn
kind
AWS Fargate
Docker• mentioned only
Kustomize• mentioned only
Recommendations
- Lead delivery of small-to-medium AWS infrastructure projects using Terraform modules and CI-driven mocked plans, with a focus on adding remote state backends and state locking.
- Build platform automation for development clusters - author reproducible kind-based CI smoke tests, rollback playbooks and developer-facing runbooks.
- Expand observability by authoring SLOs and alerting playbooks and integrating Prometheus/Grafana or OpenTelemetry traces for service-level monitoring.
- Harden IaC lifecycle practices: add state migration examples, environment backends, and documented lifecycle/ignore_changes patterns for safe upgrades
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories: