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# Senior Software Engineer | Kubernetes Automation

- **Company:** CAST AI
- **Location:** Red Lion, PA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $78,000.0 - $108,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Cloud Storage, Computer Programming, Databases, Continuous Integration, Software Debugging, Linux, DevOps, File Systems, Distributed Systems, Github, PostgreSQL, Prometheus, Software Engineering, System Programming, Datadog, Graphics Processing Unit (GPU), Google Cloud, Grafana, AI Coding Agents, Gitlab, Build Management, Kubernetes, Iptables, Vertica, Terraform, Block Storage, Programming Languages
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-kubernetes-automation-red-lion-pa--3cdd1169-f61a-4f79-b417-76d74e4fe536

## About the Role

Software Engineering, Automation, GPU (Graphics Processing Unit), Cloud Computing, Algorithms, Automation, Right-Sizing, Software Engineering, Systems/Internals Programming, Computer Programming, * Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.

 * Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
 * Understanding of Kubernetes internals - autoscaling and networking.
 * You've personally driven a complex project end-to-end.
 * Experience with AI coding agents and agentic development workflows.
 * You've used observability tooling in production.
 * CI/CD and DevOps practices experience.
 * Strong English skills, both verbal and written.
 * Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Nice-to-haves:

 * Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
 * Deep knowledge of EKS, GKE, or AKS internals.
 * Container runtime experience CRI-O, runc, containerd.
 * Cloud storage depth - block storage, CSI, volume management, filesystem internals.
 * Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
 * Low-level systems programming experience in C or C++.
 * Kubernetes or cloud-native OSS contributions.
 * Experience with AI coding agents and agentic development workflows.

## Description

* Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
 * Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
 * Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
 * Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
 * Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
 * Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
 * Contribute to product direction and backlog - shape what gets built next, not just how it's built.
 * Participate in on-call rotation for teams that require it.

Tools we use daily:

 * Programming Languages: Go
 * Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
 * Infrastructure as Code: Terraform
 * Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse
 * Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
 * Observability: Prometheus, Grafana, Loki, Tempo
 * CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo