Lead Software Engineer - AI Developer/Architect
Role Overview
Build the Wholesale Credit Risk Core Platform, providing standardized deployment strategies, shared services and components, controls, testing practices, alerting, and monitoring.
Join a hands-on architecture and engineering team focused on designing, coding, and architecting scalable solutions in a hybrid-cloud environment.
Work on transactional and analytics workloads in collaboration with development leads and senior stakeholders.
Key Skills for This Role
Full Job Posting
Role Overview
Build the Wholesale Credit Risk Core Platform, providing standardized deployment strategies, shared services and components, controls, testing practices, alerting, and monitoring.
Join a hands-on architecture and engineering team focused on designing, coding, and architecting scalable solutions in a hybrid-cloud environment.
Work on transactional and analytics workloads in collaboration with development leads and senior stakeholders.
Job Responsibilities
- Architect, design, and implement scalable hybrid-cloud solutions for transactional, analytics, and RAD workloads.
- Write and review high-quality code while following best practices and standards.
- Collaborate with development leads and cross-functional teams to deliver robust solutions.
- Conduct code reviews and provide constructive feedback to drive technical excellence.
- Present technical concepts and project updates to senior stakeholders.
- Prioritize work by balancing urgent needs with strategic progress.
- Mentor and support team members while fostering a collaborative environment.
Required Qualifications
- Proven experience in hybrid-cloud architecture using AWS, Azure, GCP, or private cloud.
- Strong coding skills in Java, Python, React, or similar technologies.
- Deep understanding of distributed systems, data pipelines, and analytics platforms.
- Experience with CI/CD, DevOps, and modern software engineering practices.
- Excellent interpersonal and presentation skills.
- Demonstrated ability to work with development leads and senior stakeholders.
- Extensive hands-on experience in AI/GenAI architecture, design, development, testing, deployment, and SDLC.
Advanced Competencies
- Advanced competency in AI/GenAI, microservices, Spring Boot, Kubernetes, cloud computing, Oracle, Kafka, AWS, Databricks, Data Mesh, and GraphQL.
Behavioral Traits
- Be action-oriented, decisive, and systematic in driving results.
- Assess risk and make decisions with a holistic, big-picture perspective.
- Lead by example with a can-do attitude, attention to detail, integrity, helpfulness, mentorship, and team development.
Compensation and Benefits
- Base salary is determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Benefits may include health care coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
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