Kubernetes Development Engineer

Kubernetes Development Engineer

Inherent Technologies

Location:

100% Remote

Duration: 1 year

We are seeking a Kubernetes Development Engineer to join our platform team, focused on Kubernetes and cloud-native systems, including Red Hat Open Shift and other managed Kubernetes platforms (GCP GKE, AWS EKS, Azure AKS). This role involves extending Kubernetes/Open Shift capabilities (e.g., building operators, controllers, CRDs, and webhooks) and supporting machine learning workloads in production, including exposure to Open Shift AI products.

The ideal candidate has a strong understanding of how Kubernetes/Open Shift manages workloads and resources internally and can troubleshoot, optimize, and scale cloud-native systems.

• Proficiency in Golang or Python, with experience extending Kubernetes or Open Shift using operators, controllers, CRDs, or webhooks. Experience with other managed Kubernetes platforms (GKE, EKS, AKS) is also acceptable.
• Strong knowledge of Kubernetes/Open Shift 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.

• Python or Go
• Git, Jenkins, Argo, Sonar Qube, Artifactory, Docker
• Terraform, Ansible, Helm, Custom Resource Definitions (CRDs), Kubernetes Operators

• 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 Dev Ops 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.

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.

• 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, React
  
  JS, and Redux; skilled with Git Ops, 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 No
  
  SQL), 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.

• Experienced in deploying and managing apps on AWS, GCP, VMWare, Open Stack, and Open Shift, with strong GoLang, Python, AI/ML, and microservices skills.
• Skilled in Git Ops, 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 Graph
  
  QL, Kafka, Integration technologies, Jenkins, Argo CD, OpenAPI 3.0, OAuth 2.0, and strong at problem‑solving and communication.

Mid‑Senior level

Full-time

Engineering and Information Technology