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