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Director, DevOps Engineering Leader

2 months ago

Whippany New Jersey, United States ConnectiveRx Full time

About the Role:

ConnectiveRx is seeking a seasoned professional to fill the position of Director, DevOps Architecture. As a key member of our architecture team, you will be responsible for driving DevOps principles and best practices across the organization.

This individual will be a business and technology leader with a proven track record of success in implementing DevOps strategies for engineering teams. They will work closely with cross-functional teams to design and implement automated DevOps build/deploy pipelines, streamline operations and business processes through automation and AI, and provide technical guidance on CI/CD, development, and operations accelerators.

Key Responsibilities:

  • Lead the design and implementation of automated DevOps build/deploy pipelines that deliver tooling for current and next-generation application development.
  • Streamline operations and business processes through automation and AI, ensuring high availability of services.
  • Build, maintain, and monitor configuration management, automation, and scripting tools to ensure seamless service delivery.
  • Provide technical guidance and education to teams on CI/CD, development, and operations accelerators.
  • Implement robust security measures at all stages of the CI/CD pipeline to safeguard sensitive data.
  • Partner with the architecture team to drive continuous improvement in coding standards, architecture documentation, and roadmap development.
  • Identify and build accelerators for base engineering services that support engineering teams.
  • Collaborate with engineering teams to ensure development efforts are optimized for performance, resiliency, and redundancy.
  • Perform reviews of team members, budgeting, and strategic planning.

Requirements:

  • Minimum of 15 years of experience in software architecture, DevOps, or system design.
  • Minimum 8 years of managing a team of varying levels in an agile environment.
  • Proficiency in automation tools, cloud services, and scripting languages.
  • Solid understanding of CI/CD pipelines and hands-on experience building solutions.
  • Ability to work collaboratively in a cross-functional team and communicate effectively.
  • Proven track record of troubleshooting and problem-solving in complex environments.
  • Familiarity with AI and machine learning.
  • Bachelor's or higher degree in computer science, information systems, or a related field.

Language: English (en-US)