Requirements:

Bachelor’s degree or equivalent practical experience.
Excellent coding proficiency in an object-oriented language (Python preferred).
Demonstrated experience using test automation for code certification.
Exceptional design and problem-solving abilities.
Strong commitment to code quality and engineering excellence at scale.
Ability to clearly articulate and present complex analytical findings visually to non-technical stakeholders.
Proven ability to thrive in a fast-paced, iterative development setting.
Unwavering personal integrity, professional conduct, and ethical standards.

Nice to Haves:

Experience developing REST APIs.
Proficiency with microservice architectures.
Familiarity with cloud environments (GCP, AWS, Azure).
Expertise in relational databases (PostgreSQL, MySQL, MSSQL).
Experience with key-value and NoSQL data services (e.g., S3, MongoDB, Couchbase).
Competence in containerization and orchestration (e.g., Docker, Kubernetes).
Prior experience presenting to senior executives.
Experience with full stack development.

Design, develop, and deploy full stack applications.
Create and implement software frameworks and architectures aligned with internal and external standards.
Maintain a strong focus on quality and security, incorporating automation, design reviews, and unit testing.
Analyze scoping efforts to ensure best practices and efficiency.
Manage and support projects across the entire software development lifecycle.
Conceptualize, code, deploy, and refine next-generation prototypes.
Collaborate effectively both independently and within cross-functional teams.
Lead product initiatives, suggest improvements, and mentor team members.
Demonstrate flexibility in analyzing technical issues and clearly communicating solutions and recommendations.
Work collaboratively with Product Managers and Engineer to deliver innovative solutions that meet business needs.
Apply agile development methodologies proficiently.
Develop testing infrastructure, test cases, and automation to guarantee product quality.
Utilize and support ML and AI development efforts.
Communicate complex technical ideas clearly to both technical and non-technical audiences.