AI and Cloud Full Stack - Manager
PwC
9 days ago
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Job summary
PwC is seeking a senior software engineering leader to drive digital transformation through innovative solutions and AI-enabled development. You will mentor teams, design and test applications, and collaborate with clients to deliver tailored, high-quality software outcomes.
The role emphasizes strong CI/CD practices, enterprise architecture integration, and cross-functional stakeholder management within a client-facing environment.
Qualifications
- Experience leading software engineering teams and digital transformation projects.
- Proficiency in AI-enabled software development and cloud technologies.
- Ability to manage client-facing projects and cross-functional stakeholders.
Responsibilities
- Leading the development and implementation of innovative software solutions to drive digital transformation
- Managing and mentoring teams to enhance their skills in software engineering and product innovation
- Designing, coding, and testing applications to deliver exceptional user experiences and meet client needs
- Utilizing AI fluency and cloud technologies to improve software development processes and outcomes
- Overseeing the integration of enterprise application architecture and microservices for seamless operations
- Conducting code reviews and quality assurance testing to maintain software standards
- Collaborating with stakeholders to analyze business requirements and deliver tailored solutions
- Promoting continuous integration and delivery practices to optimize software lifecycle management
- Encouraging team members to develop skills outside their comfort zones and embrace new technologies
- Addressing and resolving conflicts or issues with clients and team members to maintain project timelines
- Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
- Demonstrating proficiency in Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD)
- Utilizing AI fluency and AI-human collaboration to enhance project outcomes
- Excelling in analytical thinking and business process improvement
- Managing complex software engineering projects with strategic planning
- Leading teams in digital integration and architecture initiatives
- Embracing change and innovation in technology consulting environments
Skills
ATDD
CI/CD
AI fluency
Analytical thinking
Business process improvement
Team leadership
Digital transformation
Cloud technologies
Education
Artificial Intelligence
Business Analytics
Computer and Data Engineering
Computer Science
Human Computer Interaction
Industrial Engineering
Information Systems/Technology
Machine Learning
Management Information Systems
Software Engineering
Job description
Role & responsibilities
- Leading the development and implementation of innovative software solutions to drive digital transformation
- Managing and mentoring teams to enhance their skills in software engineering and product innovation
- Designing, coding, and testing applications to deliver exceptional user experiences and meet client needs
- Utilizing AI fluency and cloud technologies to improve software development processes and outcomes
- Overseeing the integration of enterprise application architecture and microservices for seamless operations
- Conducting code reviews and quality assurance testing to maintain software standards
- Collaborating with stakeholders to analyze business requirements and deliver tailored solutions
- Promoting continuous integration and delivery practices to optimize software lifecycle management
- Encouraging team members to develop skills outside their comfort zones and embrace new technologies
- Addressing and resolving conflicts or issues with clients and team members to maintain project timelines
Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
- Demonstrating proficiency in Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD)
- Utilizing AI fluency and AI-human collaboration to enhance project outcomes
- Excelling in analytical thinking and business process improvement
- Managing complex software engineering projects with strategic planning
- Leading teams in digital integration and architecture initiatives
- Embracing change and innovation in technology consulting environments
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