Krzysztof Rzepka
Platform Engineer
+ Back-End / + DevOps
About
Platform Engineer focused on building and operating cloud-native platforms on AWS.
I work daily with Kubernetes (EKS), Terraform, Helm and GitOps (Argo CD), delivering reliable and scalable environments across multiple stages. My experience includes improving platform stability, automating infrastructure, and simplifying developer workflows through self-service and standardised deployments.
Coming from a full-stack background, I understand developer needs and focus on reducing cognitive load by creating clear, reliable "golden paths" for building and deploying applications.
I'm particularly focused on observability — working with metrics, logs and traces, with hands-on experience using Grafana to improve system visibility, debugging and reliability in distributed environments.
Hands-on experience with AWS, Docker and CI/CD, with a strong focus on automation, reliability and platform engineering best practices.
Skills
Portfolio
Brenda Nails Studio
Professional nail art studio website with complete serverless architecture on AWS. Features intelligent chatbot booking system, headless CMS for content management, and enterprise CI/CD pipeline with automated deployments.
Key Features:
• Enterprise CI/CD Pipeline - GitHub Actions with OIDC authentication & manual approval gates
• Zero-Secret Deployment - Short-lived tokens, repository-specific access control
• Webiny Headless CMS - Client can edit all content without code
• Intelligent Chatbot - 85+ decision nodes for booking & FAQ
• Real-time Booking - Live availability & appointment creation
• Email Automation - Professional confirmations & notifications
• Serverless Architecture - AWS Lambda, DynamoDB, API Gateway
• Modern Frontend - Astro + React with GSAP animations
• Cost Efficient - £4-22/month vs £80-300/month traditional solutions
Tech Stack: Astro, React, TypeScript, Tailwind CSS, AWS (Lambda, DynamoDB, SES, SNS), Webiny CMS, Terraform IaC, GitHub Actions CI/CD
TradePulse.AI
Fully autonomous AI-powered day trading platform with 86.5% accuracy. Features 6-layer neural network architecture, real-time Bitcoin analysis, and professional-grade risk management with autonomous Brain Controller orchestration.
Key Features
Autonomous Trading Engine — fully automated decisions every ~15s (background loop), zero manual intervention.
6-Layer AI Architecture — LSTM/CNN + ensemble (TensorFlow) for intraday signal generation.
Real-time Market Feed — persistent WebSockets to the exchange with auto-reconnect and backoff.
Professional Risk Management — SL/TP, position sizing, trailing stops, full decision audit trail.
Brain Controller (lease-guarded) — single active trading loop enforced via DynamoDB lease for safe rolling deploys.
Enterprise Observability — health/ready probes, CloudWatch logs/metrics, alerting.
AWS Serverless Containers — App Runner + ECR + CloudFront/S3 + DynamoDB, all provisioned with Terraform and shipped via GitHub Actions (OIDC).
Tech Stack
Backend: Python, FastAPI, TensorFlow, Docker
Frontend: Astro, React, TypeScript (static build)
AWS: App Runner (serverless containers), ECR, CloudFront, S3 (OAC), DynamoDB (on-demand), Secrets Manager, SSM Parameter Store, CloudWatch, Route 53, ACM
IaC / CI/CD: Terraform (S3 remote state + DynamoDB state lock), GitHub Actions (OIDC → AWS), ECR build & deploy
Gazetteer API Application
An interactive web application that allows users to explore global geographical data. It provides information on country borders, weather, Wikipedia entries, and local time. The app integrates multiple APIs and features an intuitive map interface with dynamic markers and overlays.
Curriculum Vitae
Discover my journey as a Full Stack Developer with expertise in React, Node.js, AWS, and more. From building scalable APIs to deploying cloud-based solutions, my CV showcases my passion for creating impactful applications.
Curriculum Vitae
Summary
Platform Engineer with hands-on experience building and operating cloud-native platforms on AWS, with a strong focus on Kubernetes (EKS), Terraform and GitOps (Argo CD).
Experienced in improving platform reliability, simplifying deployments and enabling development teams through self-service infrastructure and standardised "golden paths". Proven ability to design and operate scalable multi-environment systems supporting fast and consistent delivery.
Strong focus on observability, working with metrics, logs and traces to improve system visibility, reduce debugging time and support distributed systems in production environments.
Background in full-stack development provides a solid understanding of developer needs, allowing me to reduce cognitive load and deliver platforms that are easier to use, operate and scale.
Languages
Polish (Native Language)
English (Fluent)
Education
03/2024-03/2025 | IT Carrier switch
Completed an intensive Full Stack Development Training Program, gaining hands-on experience in front-end and back-end development. Mastered JavaScript, React.js, Node.js, PostgreSQL, and AWS, while working on real-world projects to build a strong portfolio.
### **Certifications**
✔ **Full Stack Engineer**
✔ **JavaScript**
✔ **jQuery**
✔ **Python 3**
✔ **C#**
✔ **PHP**
✔ **Bootstrap**
✔ **AWS Cloud Practitioner** – In Progress
This training has equipped me with a strong analytical mindset, the ability to write clean and efficient code, and a passion for solving complex problems through software development.
2025 | AWS Certified Cloud Practitioner
Cloud computing certification
2006 – 2007 | ESOL, Filton College, Bristol
English Language Certification
2000 – 2005 | Koluszki College, Poland
IT Technical Focus
Experience & Tech Stack
AWS Cloud Infrastructure
Daily work with serverless (Lambda, API Gateway, S3, CloudFront) and containerized workloads (App Runner, ECR). Hands-on with DynamoDB, Secrets Manager, Parameter Store, CloudWatch, Route 53, ACM. Cost-optimized architectures balancing performance and reliability. Production experience across compute, storage, networking, and observability services.
Infrastructure as Code
All infrastructure provisioned with Terraform — zero manual console clicks. Modular, reusable code across multiple projects. S3 remote state with DynamoDB locking for team collaboration. Manage full AWS stacks (networking, compute, storage, IAM) declaratively. Version-controlled infrastructure changes with peer review and CI/CD automation.
Containerization & Image Management
Build optimized Docker images for production workloads — multi-stage builds, minimal attack surface, efficient layer caching. Push to ECR with automated tagging strategies. Container security scanning and vulnerability management. Local development environments matching production config. Experience with Docker Compose for multi-service orchestration.
Container Orchestration
Daily management of production Kubernetes clusters at Nourish Care. Deploy and maintain workloads using Deployments, StatefulSets, Services, Ingress. Configure resource limits, health checks, rolling updates, and autoscaling. Troubleshoot pods, debug networking issues, manage secrets and ConfigMaps. Strong understanding of K8s architecture and best practices.
Kubernetes Package Manager
Deploy and manage applications using Helm charts. Templated Kubernetes manifests with environment-specific values. Version-controlled releases with easy rollback capability. Install and configure third-party charts (monitoring, ingress controllers, databases). Maintain consistency across dev, staging, and production environments.
CI/CD Automation
Build enterprise-grade pipelines with GitHub Actions — automated testing, Docker builds, infrastructure deployments. OIDC authentication to AWS (no static credentials). Manual approval gates for production deploys. Parallel jobs, caching strategies, reusable workflows. Integrated security scanning and automated rollback on failure. Zero-downtime deployment patterns.
GitOps Continuous Delivery
Implement GitOps workflows with Argo CD for declarative Kubernetes deployments. Git as single source of truth — automatic sync from repository to cluster. Visual deployment status, drift detection, and self-healing capabilities. Manage multiple environments and clusters from one interface. Rollback to any previous state instantly.
Metrics & Time-Series Database
Deploy and manage Prometheus for metrics collection and alerting. Configure service discovery, scrape configs, and retention policies. Write PromQL queries for complex metric analysis. Set up alert rules and integrate with Alertmanager for intelligent routing. Export metrics from applications and infrastructure. Foundation of modern observability stack with Grafana visualization.
Monitoring & Observability
Build production dashboards with Grafana and Prometheus for real-time system monitoring. Track application metrics, infrastructure health, and business KPIs. Configure alerting rules and notification channels (Slack, PagerDuty, email). Query PromQL for custom metrics. Integrate CloudWatch, Loki for centralized logging. Quick incident identification and resolution.
Linux & System Administration
Deep Linux/Unix expertise across RHEL, Ubuntu, and Debian distributions. Proficient in Bash scripting for automation, system monitoring, and infrastructure management. Experience with systemd, cron jobs, log analysis, package management (apt, yum), SSH key management, and performance tuning. Strong foundation in networking, file systems, and security hardening.
Python & Automation
Production Python for infrastructure automation, tooling, and AWS integration. Build custom scripts with boto3 for AWS operations, automated deployment tools, and platform utilities. Create Kubernetes operators and controllers. Develop monitoring scripts, log parsers, and CI/CD automation. FastAPI for internal services and APIs. Clean, maintainable code following best practices.
Let's talk about your project and how I can help you.