Cloud & DevOps Engineer — AWS • Infrastructure as Code • Automation • Security • Observability
I help tech teams set up AWS infrastructures in weeks instead of months: automated (IaC), observable (dashboards/tracing), and cost-conscious — without compromising security.
I build secure, scalable, and maintainable cloud platforms on AWS — from architecture to automated operations.
My focus: transparency through observability, reproducible deployments via IaC, and clear security guardrails.
Typical focus areas
- CI/CD automation (GitHub Actions, AWS CodePipeline)
- Infrastructure as Code (AWS CDK v2, Terraform)
- Security & compliance (GuardDuty, Security Hub, HashiCorp Vault)
- Observability & monitoring (CloudWatch, X-Ray, Grafana)
- Landing Zone & IaC: multi-account/guardrails, pipelines, repeatable stages — everything as code
- Observability in 5 days: CloudWatch/X-Ray/Grafana — dashboards, alerts, runbooks
- Cost & Security Quick Audit: 30–60 point check (budgets, IAM, GuardDuty, Security Hub, CloudTrail)
- Quick call (30 min) — goals, current state, quick wins
- Plan & proposal — scope, timeline, risks
- Implementation — IaC, pipelines, dashboards, handover & docs
Availability: from January • Time zone: Europe/Berlin • NDA: anytime • Remote-only
A selection of my public repositories — examples of architecture, IaC, and automation.
| Project | Description | Technologies & Highlights |
|---|---|---|
| aws-data-processing-infra | Building a fully automated data processing infrastructure on AWS. The pipeline processes incoming data events serverlessly, performs transformations, and stores results in S3 or a database. The project shows how to build scalable data pipelines with IaC and monitoring. 🎯 Learning: End-to-end automation of data workflows with Terraform, Lambda & EventBridge, including CI/CD and security concepts. |
Terraform, AWS Lambda, EventBridge, S3, CloudWatch, CI/CD |
| ecs-eks-service-discovery | Implements dynamic service discovery between ECS and EKS services to connect containerized applications without manual configuration. Ideal for hybrid environments. 🎯 Learning: Understanding DNS-based discovery, load balancing, and networking patterns in AWS containers. |
TypeScript, AWS ECS, EKS, Cloud Map, Service Mesh, Networking |
| high_availability_architecture | Demonstrates a highly available architecture across multiple availability zones. Includes health checks, automatic failover mechanisms, and resilient components. 🎯 Learning: Planning and validating multi-AZ strategies, resilience testing, and automated recovery design in the cloud. |
Python, AWS EC2, ALB, Auto Scaling, Multi-AZ, CloudWatch |
| url-shortener-aws | A serverless URL shortener as a microservice with API Gateway and Lambda. Provides CRUD endpoints, stores short links in DynamoDB, and uses Infrastructure as Code for deployment. 🎯 Learning: Building and operating scalable serverless APIs with a focus on cost optimization, security, and IaC. |
TypeScript, AWS Lambda, API Gateway, DynamoDB, CDK, Serverless Design |
Here are tools and technologies I work with regularly:
💼 LinkedIn
📧 info@bojatschkin.de
🌍 bojatschkin.de
Interested in working together? I’m happy to hear from you — let’s talk about your idea.