Senior Software Engineer (Cloud Infrastructure)

Join Everything Applied as a Senior Software Engineer (Cloud Infrastructure). You will be responsible for designing, building, and operating our multi-cluster Kubernetes infrastructure, as well as acting as a solutions architect for internal platform customers. You will have the opportunity to work embedded with engineers across the entire organization and support a variety of customer deployments. This role requires deep experience with at least one major cloud provider, experience with container orchestration frameworks, and a strong background in building and operating large-scale infrastructure.

• Design, build, and operate multi-cluster Kubernetes infrastructure with high reliability across all cloud providers.
• Act as a solutions architect for internal platform customers, turning their scaling and reliability needs into concrete infrastructure designs.
• Mentor engineers and raise the technical bar through design reviews and thoughtful collaboration.

• Communicate and collaborate well across teams: aligning on interfaces, navigating tradeoffs, and driving cross-team execution
• Have deep experience with at least one major cloud provider (AWS, GCP, Azure or OCI)
• Hold a BS in Computer Science or a related field
• Have experience with container orchestration frameworks such as Kubernetes
• Are fluent with Infrastructure as Code and GitOps workflows (Terraform, OpenTofu, Pulumi, Crossplane, or similar)
• Have 5+ years of experience building and operating large-scale infrastructure, platform, SRE, or DevOps systems
• Write production-quality code and are an expert in at least one of Go, Python, Rust, or C++, and comfortable picking up whatever the problem needs
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Experience with serverless or scale-to-zero container platforms such as Knative, Cloud Run, or KEDA-based systems for running multi-tenant application workloads
• Depth in sandboxing and workload isolation: Linux namespaces, cgroups, seccomp, gVisor, Firecracker/Kata, or comparable multi-tenant isolation designs
• Depth in cluster and cloud networking: CNI (e.g., Cilium), eBPF, NetworkPolicy, service mesh, cross-cloud private connectivity
• Deep multi-cluster or multi-region Kubernetes experience running diverse workloads at scale, from large batch and data-processing jobs to GPU and agentic workloads, including scheduling and autoscaling systems such as Karpenter, Kueue, or Volcano
• Platform security experience: admission control, least-privilege IAM, workload identity (OIDC/SPIFFE), image provenance and supply-chain hardening
• Incident command experience for customer-facing production systems
• Experience building enterprise AI infrastructure or delivering platform solutions to internal or enterprise customers
• Contributions to open source infrastructure tooling