As a Platform DevOps Engineer, you will build and own the cloud and platform infrastructure behind B2TECH.AI, our new AI-native iGaming platform.
You will design and manage Kubernetes, CI/CD pipelines, observability, security, and automation for a greenfield platform built for regulated markets and high transaction volumes.
This is a hands-on role with significant ownership. You will work closely with architects, engineers, and product teams, and help shape the platform from day one.
Key Responsibilities
Build and manage the cloud foundation across AWS or GCP, including networking, identity, security, Kubernetes, data services, and environment isolation.
Own infrastructure as code using Terraform and Helm, with reusable modules, pull-request workflows, and controlled deployments.
Build and operate Kubernetes platforms with autoscaling, GitOps, progressive delivery, and gated promotion across environments.
Manage core platform services, including Kafka, PostgreSQL, identity, secrets management, observability, and edge security.
Build infrastructure for AI agents, including LLM gateways, agent runtimes, usage metering, and cost and latency monitoring.
Automate infrastructure operations, alert handling, runbooks, and self-healing workflows with clear escalation paths.
Embed security, auditability, compliance, and data-residency controls from day one.
Improve cost visibility, platform efficiency, scalability, and self-service customer provisioning.
Must-Haves
Proven experience as a DevOps, Platform, or SRE engineer, with hands-on ownership of production infrastructure and Kubernetes environments.
Strong cloud engineering experience in either AWS or GCP.
Advanced Terraform knowledge, including reusable modules, remote state, multi-environment architecture, and pull-request-based workflows.
Strong Kubernetes, GitOps, and CI/CD experience using tools such as EKS or GKE, Argo CD or Flux, Helm, and GitHub Actions.
Production experience with Kafka and PostgreSQL.
Strong knowledge of Linux, networking, identity, and security fundamentals.
Hands-on observability and incident-response experience using tools such as Prometheus, Grafana, Loki, and OpenTelemetry.
Strong scripting and automation skills in Python and/or Go.
Strong communication, collaboration, and adaptability in a fast-moving environment.
Working proficiency in English.
Nice-to-Haves
Experience across both AWS and GCP.
Experience with progressive delivery and advanced deployment strategies.
Proven experience building AI agents, agentic automation, or AI-powered operational workflows, with clear examples of ownership and measurable impact.
Experience in iGaming, fintech, payments, or other regulated industries.
Experience with high-throughput systems, compliance engineering, data residency, or FinOps.
Benefits
23 Days of Paid Leave
Birthday Leave
Hybrid Model
Private Health Insurance
MultiSport Card
EUR 140 monthly Lunch Allowance
Exciting Career Paths
Personalized Learning and Development Programs
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