Manager of Software Engineering - Full Stack/React/AWS
On-sitePlano, Texas, United States
Job Summary
Lead multiple software engineering teams by guiding daily tasks, setting output expectations, and mentoring engineers on reliability, performance, risk, cybersecurity, and legal compliance. Drive adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation to improve delivery speed and operational outcomes while ensuring secure handling of inputs and outputs. Develop secure high-quality production code, review and debug others' work, and execute creative software solutions that break down technical problems. Apply knowledge of the React, AWS, and Java toolchain to prototype AI-enabled workflows, translate stakeholder needs into technical designs, and automate remediation of recurring issues. Manage day-to-day implementation activities by identifying escalated issues and ensuring adherence to business requirements and tactical best practices within the Consumer and Community Banking team.
Required Qualifications
- Formal training or certification on software engineering* concepts
- 5+ years applied experience
- demonstrated coaching and mentoring experience
- Experience managing technologyist and leading technology projects
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) (e.g. UI technology stack - React JS, CSS/HTML, JAVA, Spring Framework, AWS Cloud only, etc.)
- Proficient in all aspects of the Software Development Life Cycle
- In-depth knowledge of the financial services industry and their IT systems
- Practical AWS experience (e.g., proficiency with AWS services - EKS, ECS, PostgreSQL, Lambda, S3, etc.)
- Demonstrate proficiency in application, data, and infrastructure architecture disciplines
- Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations with ability to coach engineers on compliant and effective usage
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Desired Qualifications
- Practical cloud native experience with AWS Certification
- Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management
- Strong problem-solving, analytical, and communication skills
- Ability to drive broader impact by sharing and contributing best practices
- Experience in the banking domain
- AWS certification
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