Digital Transformation Architect

Boeing•Berkeley, MO

19h

About The Position

The Boeing Company is seeking a highly skilled and experienced Digital Transformation Architect to lead the digital transformation for Air Proprietary 1 in the Air Dominance organization located in Berkeley, MO , focusing on the implementation of DevOps best practices within an organization transitioning from a legacy software development mindset. The ideal candidate will possess a strong architectural background, with the ability to set a clear vision for the transformation across all software teams on the program, influence senior leadership, and motivate teams to embrace new methodologies and technologies.

Requirements

Minimum of 10 years of experience in software architecture, with a strong focus on DevOps practices and digital transformation
5+ years of experience leading successful digital transformation initiatives within large organizations, particularly in transitioning from legacy systems
5+ years of experience in software architecture, with a focus on cloud-based solutions and DevOps practices
10 years of experience leading software team and/or projects
5+ years of experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations
Proven experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Strong understanding of CI/CD tools (e.g., Gitlab, Jenkins) and practices, automation frameworks, and infrastructure as code (IaC).

Nice To Haves

Bachelor’s degree or higher in Computer Science, Engineering, Industrial Engineering, or a related field
Exceptional communication and presentation skills, with the ability to influence and engage stakeholders at all levels
Strong problem-solving skills and the ability to navigate complex organizational dynamics and the ability to think critically and strategically
Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment
Experience in industrial engineering or process optimization is highly desirable
Experience with AWS or Azure GovCloud
Relevant certifications in DevOps, cloud technologies, or software architecture (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+) certification

Responsibilities

Define and articulate a comprehensive vision for the digital transformation initiative, emphasizing the adoption of DevOps practices
Develop a strategic roadmap that aligns with organizational goals and addresses the transition from legacy systems to modern development practices
Present and defend the transformation vision to program senior leadership, ensuring alignment and buy-in from key stakeholders
Lead the migration of applications and services to cloud technologies, ensuring scalability, security, and performance are prioritized throughout the process
Develop cloud architecture strategies that align with the overall digital transformation goals and facilitate the transition from on-premises to cloud-based solutions
Act as a change agent, motivating teams and individuals to embrace new processes, tools, and cultural shifts associated with DevOps
Lead the design and implementation of DevOps best practices, including continuous integration, continuous delivery, and Infrastructure as Code (IaC)
Collaborate with cross-functional teams to ensure successful adoption of new methodologies and technologies
Identify key technical skill gaps within the organization that may hinder the successful implementation of DevOps practices and work closely with leadership to develop hiring strategies and training programs to acquire the necessary talent and skills
Provide mentorship and guidance to team members, fostering a culture of continuous improvement and learning
Facilitate workshops and training sessions to enhance the team's understanding of DevOps principles and practices
Utilize industrial engineering principles to analyze existing systems and processes, identifying areas for optimization and waste reduction to improve overall efficiency
Define, collect, analyze, and refine Key Performance Indicators (KPIs) and metrics for software delivery and team execution to ensure continuous improvement and accountability