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Entry Level Kubernetes Jobs (NOW HIRING)

Entry-Level Software Engineer

Golden, CO · On-site

$70K - $120K/yr

Entry-Level Software Engineer Job Overview We are seeking an enthusiastic Software Engineer to join ... Experience with Kubernetes * Familiarity with database technologies such as PostgreSQL or SQLite

Entry-Level Software Engineer Job Overview We are seeking an enthusiastic Software Engineer to join ... Experience with Kubernetes * Familiarity with database technologies such as PostgreSQL or SQLite

Entry-Level Software Engineer

Golden, CO · On-site

$70K - $120K/yr

Entry-Level Software Engineer Job Overview We are seeking an enthusiastic Software Engineer to join ... Experience with Kubernetes * Familiarity with database technologies such as PostgreSQL or SQLite

Entry-Level Software Engineer Job Overview We are seeking an enthusiastic Software Engineer to join ... Experience with Kubernetes * Familiarity with database technologies such as PostgreSQL or SQLite

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python ... Kubernetes, and REST API experience Excellent written and verbal communication skills If you get ...

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.

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Entry Level Kubernetes information

What cities are hiring for Entry Level Kubernetes jobs? Cities with the most Entry Level Kubernetes job openings:
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What states have the most Entry Level Kubernetes jobs? States with the most job openings for Entry Level Kubernetes jobs include:
Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

ZEDEDA

San Jose, CA • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. They are seeking a curious, self-driven entry level Software Engineer to work on real-world problems in edge orchestration, collaborating with experienced engineers and contributing to the development of software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
Responsibilities:
• Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
• Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.
• Work with ONNX, GenAI, and ML models — integrating them into production-ready pipelines and edge environments.
• Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.
• Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
• Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.
• Write and maintain Helm charts for deploying services into Kubernetes clusters.
• Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience.
• Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).
• Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
• Practical exposure to Kubernetes — understanding of pods, deployments, services, namespaces, and controllers. Familiarity with lightweight Kubernetes distributions such as k3s is a plus, particularly in the context of resource-constrained edge environments.
• Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
• Ability to work with vague or evolving problem statements and drive toward clarity independently.
• Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know.
• Comfortable with basic Linux commands and shell scripting.
Preferred:
• Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
• CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.
• Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
• Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows — not just familiarity, but fluency.
• Prior contribution to, or porting of, open-source projects.
• Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
• Familiarity with AWS or Azure tooling.
• Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.
• Exposure to Helm chart authoring, not just usage.
• Awareness of edge computing concepts, IoT, or distributed systems.
• Familiarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
• Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.
Company:
ZEDEDA is a provider of distributed orchestration and virtualization software for Edge AI Compute. Founded in 2016, the company is headquartered in San Jose, USA, with a team of 51-200 employees. The company is currently Growth Stage.