Senior Software Engineer - Cloud Infrastructure
Build and operate multi-cloud, multi-cluster infrastructure and platform primitives for large-scale simulations and enterprise AI workloads. The role requires 5+ years in infrastructure, platform, SRE, or DevOps systems, strong Kubernetes and cloud expertise, production programming skills, and Infrastructure as Code experience.
About the job
Responsibilities
- Design, build, and operate multi-cluster Kubernetes infrastructure across compute, networking, storage, autoscaling, observability, and security.
- Build multi-tenant platform primitives, including tenant-safe storage, shared secrets, RBAC, and workload identity.
- Design and orchestrate secure, sandboxed execution environments for agentic and untrusted workloads.
- Act as a solutions architect for internal platform customers, translating scaling and reliability needs into infrastructure designs and driving them to production.
- Improve developer effectiveness by building tooling that removes infrastructure and workflow friction.
- Debug and profile distributed-systems edge cases; own production incidents end-to-end, including incident command, postmortems, and remediation.
- Mentor engineers and raise technical standards through design reviews and collaboration.
Requirements
- 5+ years of experience building and operating large-scale infrastructure, platform, SRE, or DevOps systems.
- Experience with Kubernetes or other container orchestration frameworks.
- Deep experience with at least one major cloud provider: AWS, Google Cloud, Azure, or OCI.
- Production-quality programming skills and expertise in at least one of Go, Python, Rust, or C++.
- Experience with Infrastructure as Code and GitOps workflows, such as Terraform, OpenTofu, Pulumi, or Crossplane.
- Strong cross-functional communication and collaboration skills.
- Bachelor’s degree in Computer Science or a related field.
Nice-to-haves
- Experience with serverless or scale-to-zero container platforms such as Knative, Cloud Run, or KEDA.
- Expertise in sandboxing and workload isolation, including Linux namespaces, cgroups, seccomp, gVisor, Firecracker, or Kata.
- Expertise in cluster and cloud networking, including CNI, Cilium, eBPF, NetworkPolicy, service mesh, and cross-cloud private connectivity.
- Deep multi-cluster or multi-region Kubernetes experience supporting batch, data-processing, GPU, and agentic workloads at scale.
- Experience with scheduling and autoscaling systems such as Karpenter, Kueue, or Volcano.
- Platform security experience, including admission control, least-privilege IAM, workload identity, 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.
Skills
Kubernetes, AWS, GCP, Azure, Go, Python, Rust, C++, Terraform, GitOps, Infrastructure As Code, Linux, Ebpf, RBAC, OIDC
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