Igor Światowski — DevOps Engineer

DevOps / Platform / MLOps Engineer focused on building scalable, production-grade infrastructure on AWS and GCP. I design and ship end-to-end pipelines - from application deployments to ML model serving - using Terraform, Kubernetes, and modern CI/CD tooling. What I do day-to-day: → Design and automate cloud infrastructure as code on AWS using Terraform, CloudFormation, and Pulumi → Build and manage Kubernetes clusters (EKS) to run microservices and ML workloads at scale → Architect CI/CD pipelines with Jenkins, GitHub Actions, and ArgoCD for both application code and ML model delivery → Ship ML models to production — containerization, model registry integration, inference endpoint automation, and monitoring → Implement MLOps practices: automated training pipelines, model versioning, A/B testing, drift detection, and observability with SageMaker, MLflow, and Kubeflow → Provide stable infrastructure for applications, APIs, and data pipelines while keeping costs under control → Automate everything with Bash and Python — if it runs more than twice, it gets scripted Tech I work with: AWS (EKS, ECS, Lambda, SageMaker, S3, ECR, CloudWatch, IAM), GCP, Terraform, Kubernetes, Docker, Helm, Jenkins, GitHub Actions, ArgoCD, Linux, Git, Ansible, Prometheus, Grafana, MLflow, Kubeflow, Python, Bash Currently exploring deeper specialization in MLOps — bridging the gap between data science teams and production infrastructure. I believe the next wave of DevOps is making ML delivery as reliable and repeatable as traditional software delivery. Open to interesting roles, collaborations, and conversations. Let's connect.

Stackforce AI infers this person is a MLOps and DevOps Engineer specializing in Fintech and Cloud Infrastructure.

Location: London, England, United Kingdom

Experience: 4 yrs 8 mos