Applications Development Senior Programmer Analyst (Associate Vice President, Software Senior Engineer)
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities, significantly augmented by Artificial Intelligence capabilities.
About the Role:
We are seeking a highly skilled and motivated Associate Vice President (AVP), Software Senior Engineer, to join our dynamic team. This role is crucial for designing, developing, and maintaining robust and scalable middleware solutions. The ideal candidate will possess deep expertise in Java and Spring Boot, coupled with a strong understanding of database technologies such as Oracle, SQL, and MongoDB. Furthermore, we are looking for an individual with a keen interest and demonstrable exposure to Artificial Intelligence (AI) and a passion for leveraging AI to drive productivity gains, innovate our software development processes, and enhance solution quality. You will play a pivotal role in shaping our technical landscape, mentoring junior engineers, and contributing to high-impact projects through an AI-first development approach.
Responsibilities (Leveraging AI):
- Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation.
- Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity:Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions.
- Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery:Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data.
- Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences.
- Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning:Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices.
- Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem.
- Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines:Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design.
- Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems:Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows.
- Contribute to the strategic planning and technical roadmap for our middleware platforms:Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on >------------------------------------------------------
Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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