As a Senior Full Stack Software Engineer, you will be responsible for architecting, designing, developing, and maintaining complex systems that integrate Finance systems or business applications with AI features. This role involves working across the full stack, from front-end interfaces to back-end services, leveraging AI technologies to enhance product capabilities, and the ability to groom junior resources by mentoring and leading on project assignments.
A good understanding of Finance and QTC architecture is required to make an impact.
Key Responsibilities
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Full Stack Development
: Design and implement scalable and robust full-stack solutions that integrate with finance systems or business applications. -
AI Integration
: Collaborate with data scientists and machine learning engineers to incorporate AI features into products, enhancing functionality and user experience. -
Technical Leadership
: Lead technical design and architecture discussions, ensuring best practices are followed in software development and AI integration. -
Collaboration
: Work closely with technical product managers (TPM), designers, and other engineers and business teams to deliver high-quality products that meet business needs. -
Innovation
: Drive innovation by exploring new technologies and methodologies to improve product offerings and development processes.
Required Skills and Experience
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Business Applications
Experience with Oracle Fusion Cloud, Zuora Revenue, Coupa, Anaplan, Avalara, and prior QTC architecture experience. -
Technical Expertise
: Strong proficiency in modern programming languages (e.g., Java, Python) and frameworks (e.g., React, Node.js). Exposure to integration platforms such as Workato and RPA platforms such as UIPath. -
AI and Machine Learning
: Experience with AI technologies and machine learning frameworks, with a focus on integrating these into business applications. -
Cloud Platforms
: Familiarity with cloud environments such as AWS or GCP, and experience with deploying and managing applications in the cloud. -
Problem Solving
: Ability to tackle complex technical challenges and provide innovative solutions. -
Communication
: Excellent communication skills to collaborate effectively with cross-functional and leadership teams both across Engineering and Finance organizations.
Qualifications
Preferred Qualifications
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7+ years of experience in business applications.
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BS or Masters in Computer Science and Engineering
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Experience leading multiple company-wide transformations
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Certifications in Architecture frameworks
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Knowledge of agile software development methodologies.
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Experience with micro-services architecture and RESTful APIs.
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Prior experience of leading teams with or without authority