Insight Global's client is looking for a remote Sr. Kubernetes Developer that will be processed for a Top Secret clearance. This person will be responsible for designing and implementing Kubernetes-based solutions optimized for edge computing environments Develop custom Kubernetes operators to automate complex operational tasks specific to edge deployments Optimize Kubernetes for low-latency, considering constraints like limited bandwidth and intermittent connectivity Integrate edge Kubernetes clusters with core infrastructure, ensuring seamless data flow and management Implement security best practices for edge deployment- including network policies and access controls Contribute to open-source projects related to Kubernetes and edge computing. This candidate will also be mentoring junior developers on Kubernetes and cloud-native technologies.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
- Strong proficiency in developing and maintaining Kubernetes operators
- 5+ years of experience with Kubernetes
- Expert-level knowledge of container runtimes (e.g., Docker, containerd, CRI-O)
- Advanced programming skills in Python, Java, or Go
- Experience with cloud solutions and building Kubernetes
Experience with lightweight Kubernetes distributions like K3s or MicroK8s
Knowledge of IoT protocols (MQTT, CoAP) and edge-to-cloud communication patterns
Familiarity with AI/ML workloads on Kubernetes, especially in edge contexts
Experience with service mesh technologies (e.g., Istio, Linkerd) in edge environments
Understanding of 5G networks and their integration with edge computing
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.