Hire the Best DevOps Engineers
in the Netherlands

One engineer. Whole product. From the AI strategy call to the running system in production. I'm a senior full-stack engineer with a decade of shipping behind me — and over the last few years, AI integration has become the part of the work I'm most useful at. Not as a prompt engineer or a deck-and-disappear consultant, but as the person who sits in a discovery call, understands your product and workflows, identifies where a model, an embedding store or an agent actually moves the needle, and then builds it. Same pair of hands, all the way through. That's the part most teams are missing right now. AI consultants who can't ship. Engineers who can ship but can't tell you whether the LLM is the right answer in the first place. I do both, and the value is in not splitting them apart. How engagements usually start Most projects start with a call. You tell me what you're trying to build or where you're stuck, I ask questions, and we figure out together whether AI is actually the right answer — and if so, what the smallest useful first step looks like. Sometimes that's a one-page plan and an estimate. Sometimes it's a longer paid discovery if the product is complex enough to warrant it. Either way, I'll tell you honestly when an LLM is the wrong answer — that's part of the value of talking to someone who builds these systems, not just advises on them. What I build – AI & LLM integration · OpenAI, Vertex AI, Bedrock, LangChain. RAG systems, chatbots, agentic workflows, prompt and eval pipelines, embeddings, vector stores. Production-grade — not demos. – Frontend · React, Next.js, Angular, TypeScript. Component-driven UIs, accessibility, performance — built to stay fast at year three. – Backend · NestJS, Express, Python (FastAPI / Django). REST and GraphQL APIs, event-driven systems, queues, background workers. – Data · PostgreSQL, MySQL, MongoDB, vector databases. Schema design, indexing, query plans — the unglamorous parts that decide whether the app holds up under real load. – Cloud & DevOps · Azure, AWS, GCP. Kubernetes, serverless, Terraform / Bicep, CI/CD on Azure DevOps and GitHub Actions. Zero-downtime deploys. – Integrations · Stripe, Firebase Auth, Azure AD B2C, messaging, analytics — wired in cleanly, failure paths covered. How I work Direct, written-first, async-friendly across timezones. Long-running, end-to-end engagements are where I do my best work — I plug in, learn the product, and keep it moving. I take on unfamiliar stacks and domains on purpose. That's usually the part I want. If you've got something ambitious — an AI feature you're not sure how to scope, a product that needs to ship with AI baked in from day one, or a vague idea you need someone to think through honestly before writing any code — let's talk.

I'm a software engineer specializing in DevOps and web scraping. During the week I work as a DevOps engineer at a cybersecurity company and also teach software development at a college in the Netherlands.

I am a certified AI & DevOps Architect: ⚡ AWS AI Technical Accredidation ⚡ Azure Certified Data Engineer Associate ⚡AWS Accredited Technical Professional ⚡AWS Certified SysOps Administrator Associate ⚡AWS Certified Solutions Architect Associate ⚡Aviatrix Certified Engineer: Multi-Cloud Networking Associate. I have over 10 years of experience in this space and have been providing consultancy to clients belonging to different industries and fields. I have worked in both AWS and Azure- K8s have been my passion for as long as I can remember. As a contractor/ freelancer, I have helped some of the fortune 500 Enterprises migrate to Kubernetes on AWS. I have extensively worked on: ✅ Amazon Web Services including: EC2, ECS, EKS, S3, IAM, RDS, CodeBuild, CodeDeploy, CodePipeline, Database Migration Service (DMS), Config, Elastic Beanstalk, Kinesis, ALB, Global Accelerator, Systems Manager, Direct Connect, DynamoDB, Cloud formation, Storage Gateway, AWS Glue, Data catalog etc. ✅ Microsoft Azure including Application Gateway, VM, Scale set, Azure SQL, Key vault, ARM, Azure Data factory, Azure DevOps, Synapse etc. ✅ General services including DataOps, Elasticsearch, Thanos, CI/CD, GitOps, Pulumi, Linux (Debian, CentOS),CentOS Kickstart installation, Kubernetes, Apache Kafka, Apache Spark, Cluster administration, GitFlow Workflow, Terraform, Terragrunt, Azure Resource Manager templates, IaC. Why you should choose me? ⭐ Async Communication ⭐ Structured work ⭐ Time efficiency ⭐ Quality over quantity ⭐ Instant consultation

Most AWS issues are not just technical. They show up as downtime, high costs, or broken deployments — but the real problem is usually how systems are structured and maintained over time. I step into existing environments and make them: • Stable and reliable • Cost-efficient • Easy to maintain and scale Typical work includes: • Fixing unstable or overcomplicated setups • Cleaning up AWS / cloud architecture • Reducing unnecessary cloud costs • Improving deployments, monitoring and recovery Background: • 8+ years as CEO of an international company (30+ team) • Managed production environments for US and European clients • Hands-on experience with AWS, Cloudflare, Hetzner, DigitalOcean and Linux I work fast, communicate clearly, and focus on getting systems to actually work long-term.

I’m a Senior Backend & Cloud Engineer with a strong infrastructure background, specializing in scalable APIs, distributed systems, and production-grade cloud architecture. I started my career building customer-facing backend systems in PHP (Symfony), React applications, and Chrome extensions, while maintaining the Linux servers running them. I then progressed into a dedicated DevOps role where I operated as the sole infrastructure engineer, managing large bare-metal environments, multi-node Elasticsearch clusters (up to 70 nodes), multiple 20+ node Kubernetes clusters, MongoDB databases, and full monitoring stacks. Today, I design and maintain cloud-native backend systems across AWS and GCP, building high-performance APIs in Go and operating Kubernetes environments (EKS/GKE), IoT integrations, event-driven systems, and secure VPC architectures. What sets me apart is full-stack ownership — from application code to networking, infrastructure, observability, and production reliability. I’m comfortable operating at scale, working autonomously, and making architectural decisions that balance performance, cost, and long-term maintainability. If you’re looking for someone who understands both code and infrastructure deeply — and can take responsibility for systems end-to-end — I can help.

I’m a senior back-end and DevOps engineer specializing in AWS cloud deployment, scalable architecture, and intelligent software systems. I help startups and growing businesses build secure, high-performance back ends that scale smoothly and run reliably in production. With deep experience in PHP, Python, and API development, I design and maintain systems that are fast, maintainable, and built for long-term growth. My background in AWS infrastructure and DevOps automation allows me to deliver solutions that are not only robust but also cost-efficient and easy to manage. What I do best: 1. Back-End Engineering: Building and optimizing APIs, data pipelines, and server-side logic in PHP and Python. 2. AWS Architecture & DevOps: Expert in EC2, ECS, RDS, S3, VPC, CloudFront, Lambda, and CI/CD pipelines, with secure, automated deployments. 3. Security & Performance Optimization: Hardening applications, improving performance, and scaling systems for reliability under load. 4. Technical Strategy: Helping teams design architectures, plan for scale, and continuously improve their software stack. I focus on building reliable, production-grade systems, not prototypes that break under pressure. Whether you’re launching an MVP, scaling an existing product, or re-architecting for growth, I can help you make your software robust, secure, and future-proof. I’m always open to projects that need solid engineering and clear thinking. Let’s build something reliable together.