
Software Engineer II, Foundation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United Kingdom.
• Develop and sustain cloud infrastructure across AWS and GCP utilizing Terraform.
• Manage and enhance multi-tenant Kubernetes clusters (EKS), covering node lifecycle, upgrades, security contexts, and networking choices.
• Take ownership of the operational aspects involved in migrating from managed Kafka (MSK) to WarpStream.
• Create and uphold tools for streaming infrastructure.
• Contribute to platform tooling and reconciliers using Go and the Kubernetes API.
• Establish self-service infrastructure primitives for engineering teams.
• Design and oversee networking and security infrastructure, which includes transit gateways, GCP interconnect, ingress, security groups, IAM policies, and IRSA.
• Engage in on-call rotations and address infrastructure incidents.
• Document and enhance runbooks while automating recurring incident patterns.
• Report directly to the Senior Manager of Platform Engineering.
• Over 3 years of experience in software engineering or infrastructure engineering.
• Practical experience with AWS services such as EC2, EKS, IAM, S3, and VPC.
• Solid understanding of Kubernetes in a production environment.
• Experience with infrastructure-as-code; Terraform is strongly preferred, while Pulumi or CloudFormation is also acceptable.
• Proficient in at least one of Go, Python, or shell scripting; Go is preferred.
• Familiarity with CI/CD pipelines such as GitHub Actions, Argo, or Jenkins.
• Direct experience with on-call duties and incident response.
• Experience in building Kubernetes operators or controllers is a plus.
• Knowledge of Kafka, WarpStream, or similar event-driven systems is advantageous.
• Expertise in networking, including VPCs, transit gateways, ingress controllers, DNS, load balancing, and security groups, is beneficial.
• Experience with compliance frameworks such as SOC 2, ISO-27001, or similar is advantageous.
• Familiarity with GitOps patterns such as ArgoCD or Flux is a plus.
• Collaborative work through pairing, work reviews, and commitment to employee growth.
• Opportunity to engage in AI experimentation and the development of AI capabilities.
• Commitment to diversity and inclusion.
• Accommodations for interviews for candidates with disabilities.
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