AWS DevOps Lead: Kubernetes, Python & Automation

TechDigital Group; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

TechDigital Group in Jersey City, NJ is seeking an experienced DevOps Lead to spearhead teams implementing automation, pipelines, and cloud-native practices using Python and Kubernetes.

The role focuses on efficient delivery of software projects, system performance optimization, and providing technical guidance across the team. A strong DevOps background with leadership and collaboration skills is essential.

Qualifications

• Proficiency in devops principles and practices.
• Strong experience with python programming for automation tasks.
• In-depth knowledge of kubernetes for container orchestration.
• Familiarity with ci/cd tools for automated software delivery.
• Excellent problem-solving and troubleshooting skills.
• Strong leadership and communication abilities to mentor and guide team members effectively.

Responsibilities

• Lead and mentor technical teams in developing and implementing devops practices using python and kubernetes.
• Design and implement automated deployment pipelines to ensure quick and efficient delivery of software products.
• Collaborate with cross functional teams to define infrastructure requirements and ensure smooth deployment of applications.
• Monitor system performance and troubleshoot issues related to devops tools and practices.
• Provide technical expertise and guidance to team members on best practices for devops, python, and kubernetes.
• Evaluate existing systems and processes to identify areas for improvement and implement solutions.
• Stay updated with the latest trends and technologies in devops, python, and kubernetes to enhance team capabilities.

Skills

Leadership

Communication

Problem-solving

DevOps principles

Education

AWS DevOps certification

Tools

Python

Kubernetes

CI/CD tools

Job description

TechDigital Group in Jersey City, NJ is seeking an experienced DevOps Lead to spearhead teams implementing automation, pipelines, and cloud-native practices using Python and Kubernetes.

The role focuses on efficient delivery of software projects, system performance optimization, and providing technical guidance across the team. A strong DevOps background with leadership and collaboration skills is essential.