Job
Description
The core infrastructure team is responsible for this infrastructure, spread across 10 production deployments across the globe, 24/7, with 4 nines of uptime. Our infrastructure is managed using Terraform (for IaC), GitLab CI and monitored using Prometheus and Datadog. We're looking for you if: You are strong infrastructure engineer with specialty in networking and site reliability. You have strong networking fundamentals (DNS, subnets, VPN, VPCs, security groups, NATs, Transit Gateway etc) You have extensive and deep experience (~4 years) with IaaS Cloud Providers. AWS is ideal, but GCP/Azure would be fine too. You have experience with running cloud orchestration technologies like Kubernetes and/or Cloud Foundry, and designing highly resilient architectures for these. You have strong knowledge of Unix/Linux fundamentals You have experience with infrastructure as code tools. Ideally Terraform, OpenTofu but CloudFormation or Pulumi are fine too. You have experience designing cross Cloud/on-prem connectivity and observability You have a DevOps mindset: you build it, you run it. You care about code quality, and know how to lead by example: from a clean Git history, to well thought-out unit and integration tests. Even better (but not essential!) if you have experience with: Monitoring tools that we use, such as Datadog and Prometheus CI/CD tooling such as GitLab CI You have programming experience with (ideally) Golang or Python You are willing and able to use your technical expertise to mentor, train, and lead other engineers Youll help drive digital innovation by: Continually improving our security + operational excellence. Work directly with customers to set up connectivity between Mendix Cloud platform and customers backend infrastructure. Rapidly scaling our infrastructure to match our rapidly increasing customer base. Continuously improving the observability of our platform, so that we can fix problems before they occur. Improving our automation and surrounding tooling to further streamline deployments + platform upgrade. Improving the way we use AWS resources, and defining cost optimization strategies Here are many of the tools we make use of: Amazon Web Services (EC2, Fargate, RDS, S3, ELB, VPC, CloudWatch, Lambda, IAM, and more !) PaaS: (Open Source) Kubernetes, Docker, Open Service Broker API Eventing: AWS MSK and Confluent Warpstream BYOK Monitoring: Prometheus, InfluxDB, Grafana, Datadog CI/CD: GitLab CI, ArgoCD Automation: Terraform, Helm Programming languages: mostly Golang and Python, with a sprinkling of Ruby and Lua Scripting: Bash, Python Version Control: Git + GitLab Database: PostgreSQL
