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The Digital S/W Engineer Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Job Responsibility:
Turn tech stack and application design into code on multiple development platforms (e.g. iOS, Android, web/Angular, services)
Address a variety of responses to problems, questions, or situations by applying established criteria to directly influence development outcomes
Responsible for applications systems analysis and programming activities that may include assisting with feasibility studies, time and cost estimates and implementation of new or revised applications systems and programs
Accountable for development, design, construction, testing and implementation and write secure, stable, testable and maintainable code
Engage in digital applications development, risk technology, Middleware, Mainframe applications, Non Mainframe applications, Analytic Model Development and Application support activities to meet specific business needs
Design, develop, test, and deploy RESTful APIs and microservices using Java and Spring Boot
Lead the implementation and configuration of API proxies, policies, and security within the Apigee platform
Collaborate with business analysts and product owners to translate business requirements into technical specifications and API designs
Conduct detailed analysis of existing systems and propose innovative solutions for API integration and modernization
Ensure adherence to API governance standards, security best practices, and performance optimization guidelines
Provide technical guidance and mentorship to junior developers
Troubleshoot and resolve complex production issues related to APIs and the Apigee platform
Participate in code reviews, architectural discussions, and contribute to the overall technical strategy
Drive continuous integration/continuous delivery (CI/CD) pipelines for API deployments
Maintain comprehensive documentation for API designs, configurations, and operational procedures
Requirements:
4+ years of overall experience in software development, with a significant focus on API development
Hands-on experience with Java and the Spring Boot framework for building microservices and RESTful APIs
In-depth experience with Apigee (Edge or Hybrid), including API proxy development, policy enforcement, security configurations (OAuth, API Keys, JWT), and analytics
Proven expertise in designing and implementing scalable, high-performance, and secure API solutions
Strong understanding of REST principles, OpenAPI/Swagger specifications, and API best practices
Experience with relational databases (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Proficiency with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI)
Excellent analytical, problem-solving, and debugging skills
Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders
Bachelor's/University degree or equivalent experience
Nice to have:
Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure
Knowledge of containerization technologies (Docker, Kubernetes)
Familiarity with Agile development methodologies (Scrum, Kanban)
Experience with unit testing, integration testing, and mocking frameworks
Demonstrated interest in Artificial Intelligence (AI) and Machine Learning (ML), with an aptitude to learn, experiment, and leverage AI tools/techniques to enhance personal skills and development workflows
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