Senior Distinguished Engineer Partnerships
Job Summary
As a Senior Distinguished Engineer, you will serve as a technical visionary for the Partnership Card organization, driving credit experiences for iconic brands. You will champion an AI-first approach to innovation, leveraging cutting-edge technology to capture high-value business opportunities. The role involves leading technical contributions, mentoring internal talent, and building resilient, scalable systems.
Responsibilities
- Define technical vision and strategy
- Design scalable and resilient system architectures
- Drive AI-enabled engineering workflows
- Mentor and coach engineering teams
Required Skills
- Software Engineering & Solution Architecture
- Enterprise Architecture
- Java/Python/Go/JS
- Public/Private Cloud Technologies
- AI-enabled System Design
Job Details
Key Responsibilities:
- Articulate and evangelize a bold technical vision for your domain.
- Decompose complex problems into practical and operational solutions.
- Ensure the quality of technical design and implementation.
- Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability, and operability.
- Continue learning and injecting advanced technical knowledge into our community.
- Handle several projects simultaneously, balancing your time to maximize impact.
- Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise of our engineering and product community.
Basic Qualifications:
- Bachelor's Degree.
- At least 9 years of experience in General software engineering and solution architecture.
- At least 9 years of experience in Enterprise architecture and design patterns.
Preferred Qualifications:
- 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.
- 9+ years of professional experience in the full lifecycle of system development.
- 5+ years of experience with public or private cloud technologies.
- Demonstrated experience driving AI-enabled engineering at scale, including architecting workflows and shaping adoption strategies.