Inherent Technologies
Kubernetes Development Engineer
Inherent Technologies, Washington, District of Columbia, us, 20022
Kubernetes Development Engineer
Inherent Technologies Location: 100% Remote Duration: 1 year Job Description
We are seeking a Kubernetes Development Engineer to join our platform team, focused on Kubernetes and cloud-native systems, including Red Hat OpenShift and other managed Kubernetes platforms (GCP GKE, AWS EKS, Azure AKS). This role involves extending Kubernetes/OpenShift capabilities (e.g., building operators, controllers, CRDs, and webhooks) and supporting machine learning workloads in production, including exposure to OpenShift AI products. The ideal candidate has a strong understanding of how Kubernetes/OpenShift manages workloads and resources internally and can troubleshoot, optimize, and scale cloud-native systems. Minimum Qualifications
Proficiency in Golang or Python, with experience extending Kubernetes or OpenShift using operators, controllers, CRDs, or webhooks. Experience with other managed Kubernetes platforms (GKE, EKS, AKS) is also acceptable. Strong knowledge of Kubernetes/OpenShift control plane internals, including how the system schedules, manages, and reconciles workloads across clusters. Deep understanding of fundamentals, scaling, multi-cluster Kubernetes environments, and security. Containerization: Proven expertise with Docker, understanding of the container ecosystem, and experience running containers in production (e.g., Kubernetes, Docker Swarm). Scripting & Automation: Proficient in Python or Go, experience with Ansible, Terraform, Jenkins for automation and configuration management. Kubernetes Networking: Knowledge of networking concepts including Ingress controllers, Network Policies, and Service Mesh (e.g., Istio). Monitoring Tools: Familiarity with monitoring tools such as Prometheus, Grafana, or Datadog for observability in Kubernetes environments. Logging Solutions: Knowledge of logging solutions like ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd for aggregating and analyzing logs. CI/CD: Knowledge of continuous integration and continuous development pipelines. Hands‑on software development with CI and CD, enterprise application development, and cloud automation. Technology
Python or Go Git, Jenkins, Argo, SonarQube, Artifactory, Docker Terraform, Ansible, Helm, Custom Resource Definitions (CRDs), Kubernetes Operators Responsibilities
Work with teams to plan, design, and build effective solutions. Create and improve AI/ML data tools and microservices using Kubernetes. Develop and upgrade cloud platforms with DevOps and CI/CD automation. Make sure services are high quality and reliable, using Infrastructure as Code. Team up with technical experts to deliver AI and machine learning solutions. Who You Are
You are a skilled Software Engineer with experience building and supporting quality tools and apps. You understand software systems well, have strong programming skills, work well with your team, and value automation. You are adaptable, eager to learn, and enjoy working in a fast‑paced environment. Required Skills And Experience
7 years hands‑on software development experience, with a focus on continuous delivery, enterprise applications, and cloud automation. 7 years in Java, Python, Go, JavaScript, ReactJS, and Redux; skilled with GitOps, Terraform, and Ansible. 7 years building cloud‑native, microservices‑based applications in containerized environments, with strong expertise in RESTful APIs, automation, and SDLC tools. 7 years database experience (SQL and NoSQL), solid knowledge of software design patterns, TDD, CI/CD, and developing rich, interactive enterprise web interfaces. Excellent analytical, problem‑solving, communication, and collaboration skills; bachelor's degree in a relevant field. Desired Skills
Experienced in deploying and managing apps on AWS, GCP, VMWare, OpenStack, and OpenShift, with strong GoLang, Python, AI/ML, and microservices skills. Skilled in GitOps, Terraform, Ansible, and familiar with SDLC, TDD, and CI/CD. Proficient with monitoring tools like Prometheus, Grafana, ELK, and Fluent Bit, plus secure software practices. Familiar with GraphQL, Kafka, Integration technologies, Jenkins, Argo CD, OpenAPI 3.0, OAuth 2.0, and strong at problem‑solving and communication. Seniority level
Mid‑Senior level Employment type
Full-time Job function
Engineering and Information Technology
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Inherent Technologies Location: 100% Remote Duration: 1 year Job Description
We are seeking a Kubernetes Development Engineer to join our platform team, focused on Kubernetes and cloud-native systems, including Red Hat OpenShift and other managed Kubernetes platforms (GCP GKE, AWS EKS, Azure AKS). This role involves extending Kubernetes/OpenShift capabilities (e.g., building operators, controllers, CRDs, and webhooks) and supporting machine learning workloads in production, including exposure to OpenShift AI products. The ideal candidate has a strong understanding of how Kubernetes/OpenShift manages workloads and resources internally and can troubleshoot, optimize, and scale cloud-native systems. Minimum Qualifications
Proficiency in Golang or Python, with experience extending Kubernetes or OpenShift using operators, controllers, CRDs, or webhooks. Experience with other managed Kubernetes platforms (GKE, EKS, AKS) is also acceptable. Strong knowledge of Kubernetes/OpenShift control plane internals, including how the system schedules, manages, and reconciles workloads across clusters. Deep understanding of fundamentals, scaling, multi-cluster Kubernetes environments, and security. Containerization: Proven expertise with Docker, understanding of the container ecosystem, and experience running containers in production (e.g., Kubernetes, Docker Swarm). Scripting & Automation: Proficient in Python or Go, experience with Ansible, Terraform, Jenkins for automation and configuration management. Kubernetes Networking: Knowledge of networking concepts including Ingress controllers, Network Policies, and Service Mesh (e.g., Istio). Monitoring Tools: Familiarity with monitoring tools such as Prometheus, Grafana, or Datadog for observability in Kubernetes environments. Logging Solutions: Knowledge of logging solutions like ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd for aggregating and analyzing logs. CI/CD: Knowledge of continuous integration and continuous development pipelines. Hands‑on software development with CI and CD, enterprise application development, and cloud automation. Technology
Python or Go Git, Jenkins, Argo, SonarQube, Artifactory, Docker Terraform, Ansible, Helm, Custom Resource Definitions (CRDs), Kubernetes Operators Responsibilities
Work with teams to plan, design, and build effective solutions. Create and improve AI/ML data tools and microservices using Kubernetes. Develop and upgrade cloud platforms with DevOps and CI/CD automation. Make sure services are high quality and reliable, using Infrastructure as Code. Team up with technical experts to deliver AI and machine learning solutions. Who You Are
You are a skilled Software Engineer with experience building and supporting quality tools and apps. You understand software systems well, have strong programming skills, work well with your team, and value automation. You are adaptable, eager to learn, and enjoy working in a fast‑paced environment. Required Skills And Experience
7 years hands‑on software development experience, with a focus on continuous delivery, enterprise applications, and cloud automation. 7 years in Java, Python, Go, JavaScript, ReactJS, and Redux; skilled with GitOps, Terraform, and Ansible. 7 years building cloud‑native, microservices‑based applications in containerized environments, with strong expertise in RESTful APIs, automation, and SDLC tools. 7 years database experience (SQL and NoSQL), solid knowledge of software design patterns, TDD, CI/CD, and developing rich, interactive enterprise web interfaces. Excellent analytical, problem‑solving, communication, and collaboration skills; bachelor's degree in a relevant field. Desired Skills
Experienced in deploying and managing apps on AWS, GCP, VMWare, OpenStack, and OpenShift, with strong GoLang, Python, AI/ML, and microservices skills. Skilled in GitOps, Terraform, Ansible, and familiar with SDLC, TDD, and CI/CD. Proficient with monitoring tools like Prometheus, Grafana, ELK, and Fluent Bit, plus secure software practices. Familiar with GraphQL, Kafka, Integration technologies, Jenkins, Argo CD, OpenAPI 3.0, OAuth 2.0, and strong at problem‑solving and communication. Seniority level
Mid‑Senior level Employment type
Full-time Job function
Engineering and Information Technology
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