Overview
Remote
$80 - $85
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
deploy cloud-native applications
containerization tools
Implement Kubernetes configurations
Kubernetes
CI/CD pipeline
Python
programming languages
GitLab CI/CD
Software Factory pipelines
Docker
AWS
GCP
Azure
Prometheus
Grafana
ELK Stack
Job Details
100% Remote Position
Detailed Job Description:
Title: | Kubernetes Application Engineer |
Location: | Remote |
Duration: | 12 Months |
Pay rate: | $80-85/HR on W2 without PTO (Paid time off). |
Work authorization: |
|
Shift: | 1st |
Job ID: | LM-EBS-1175 |
Job Description:
We are seeking a motivated and eager-to-learn contractor to join our ADDER (All Domain Data EnableR) Core Architecture team. As a key member of our team, you will play a crucial role in building and deploying cloud-native applications, implementing containerization and orchestration tools, and collaborating with cross-functional teams to integrate applications with various systems and services.
Key Responsibilities:
- Build and deploy cloud-native applications using containerization tools
- Implement Kubernetes configurations and assist in CI/CD pipeline development
- Write code in programming languages such as Python, Go, and Rust
- Collaborate with teams to integrate applications with various systems and services
- Troubleshoot and resolve issues related to application deployment, scaling, and performance
Basic Requirements:
- Strong foundation in one or two of the following areas: containerization (Docker, Kubernetes), programming languages (Python, Go, Rust), or CI/CD and automation (GitLab CI/CD, Software Factory pipelines)
- Willingness to learn and grow with the team
- Familiarity with industry standards and best practices for security, scalability, and performance
- Experience with managing Helm charts and data application building (Streamlit)
Preferred Skills:
- Experience with containerization tools (Docker, Kubernetes, k9s, Helm)
- Proficiency in programming languages (Python, Go, Rust)
- Knowledge of CI/CD and automation tools (GitLab CI/CD, Software Factory pipelines)
- Familiarity with cloud providers (AWS, Google Cloud Platform, Azure), service mesh technologies (Istio), and monitoring and logging tools (Prometheus, Grafana, ELK Stack)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.