DevOps Engineer

Xpanse; United States; Remote; USD 65,000 - 80,000; Full time

Job summary

A leading company is seeking a Sr. DevOps Engineer with expertise in AWS, Azure, or Google Cloud. The role involves automating cloud infrastructure, leading architectural discussions, and ensuring system security and compliance. Ideal candidates will have extensive experience in CI/CD and container orchestration, with strong leadership skills to mentor team members and drive best practices. This position offers a competitive salary and the opportunity to work in a dynamic environment focused on innovation and continuous improvement.

Qualifications

• 10+ years of DevOps and cloud infrastructure management experience.
• Proficiency in AWS, CI/CD, and container tools.

Responsibilities

• Architect, automate, and manage AWS cloud infrastructure.
• Design and implement CI/CD pipelines using GitHub Actions and Jenkins.
• Drive system management and application deployment automation.

Skills

Leadership

Communication

Python

Bash scripting

Education

Bachelor’s degree in computer science

Bachelor’s degree in Engineering

Tools

AWS

Terraform

CloudFormation

GitHub Actions

Jenkins

Kubernetes

Docker

ECS

Job description

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The Sr. DevOps Engineer will have a strong background in AWS, Azure or Google cloud services, extensive experience with CI/CD platforms (including GitHub Actions, Jenkins, or CircleCI), and demonstrated leadership skills. This role is not only expected to leverage a deep knowledge of cloud infrastructure, API management, and foundational machine learning integration but also lead architecture discussions and champion best practices to enhance our systems' efficiency, security, and scalability.

Essential Job Duties and Responsibilities:

• Automation and Management: Architect, automate, and manage our AWS cloud infrastructure using services such as EC2, RDS, EKS, IAM, CloudFormation and Terraform, creating robust, scalable environments.
• Lead Architectural Discussions: Facilitate and lead discussions on automation, CI/CD, and DevOps strategies, ensuring the adoption of innovative and efficient practices.
• CI/CD Pipeline Development: Design and implement CI/CD pipelines using GitHub Actions and Jenkins, optimizing software delivery and ML model deployments.
• API Gateway Management: Secure and manage API gateways, focusing on efficient traffic management, security policies, and deployment automation.
• Collaborative Integration: Work closely with development and ML teams, supporting and monitoring the operational deployment of ML models for seamless production integration.
• Optimization and Efficiency: Employ Terraform for infrastructure as code (IaC) practices and utilize container tools such as ECS, Kubernetes, ensuring scalable infrastructure provisioning and efficient deployment.
• Leadership in Automation: Drive system management and application deployment automation using Ansible or Shell scripting, setting configuration management best practices.
• Champion Security and Compliance: Ensure the highest standards of system security and compliance, emphasizing best practices in access control and network security.
• Knowledge Sharing: Leverage industry best practices and share knowledge within the team to foster a culture of continuous improvement and learning. Also coach and mentor Team Members on best practices.
• Maintain regular and punctual attendance.

Other Job Duties and Responsibilities:

Performs other related duties as assigned.

Supervisory Responsibilities:

This position is an individual contributor with no direct reports but may provide guidance, leadership, or training to others.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or Experience:

• Bachelor’s degree in computer science, Engineering, or related field
• 10+ years of DevOps and cloud infrastructure management experience.
• Proficiency in AWS cloud services, infrastructure automation (CloudFormation, Terraform), CI/CD (GitHub Actions, Jenkins, CircleCI), and container tools/orchestration (Kubernetes, Docker, ECS).
• Demonstrated leadership skills with the ability to lead architecture discussions, mentor team members, and drive the adoption of best practices in DevOps.
• Solid understanding of API management and administration, with a willingness to support ML integration projects.
• Strong communication skills, with proficiency in Python and Bash scripting.
• Relevant certifications in AWS, Kubernetes, showcasing expertise in critical areas.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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