Architecture Senior Analyst

Duties

• Responsible for shaping and executing an enterprise-wide API and AI/ML governance strategy that ensures scalable, secure, and standards-compliant API ecosystems.
• Design or develop automated testing tools.
• Develop or specify standards, methods, or procedures to determine product quality or release readiness.
• Plan test schedules or strategies in accordance with project scope or delivery dates.
• Focuses on identifying, cataloging, and assessing API products and proxies, managing API and model lifecycles, and integrating ML-enabled services within modern microservices architectures.
• Identify program deviance from standards and suggest modifications to ensure compliance.
• Identify, analyze, and document problems with program function, output, online screen, or content.
• Monitor performance program to ensure efficient and problem-free operations.
• Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source.
• Apply ML-driven analytics to optimize API performance and lifecycle decisions, delivering actionable insights through visual dashboards, while designing automation tooling to streamline and enforce API governance across the enterprise.
• Store, retrieve, and manipulate data for analysis of system capabilities and requirements.
• Design test plans, scenarios, scripts, or procedures.
• Document test procedures to ensure replicability and compliance with standards.
• Investigate customer problems referred to by technical support.
• Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems.
• Conduct historical analyses of test results.

Requirements

• Bachelor’s degree, or foreign equivalent, in Electronic Engineering, Business Analytics, Data Science, Data Engineering, or a related field, and five (5) years of experience in the job offered or in a related IT occupation deploying APIs and microservices architecture.
• Five (5) years of experience must include: Defining an enterprise strategy to identify, catalog, and assess existing API products and proxies; Handling API lifecycle governance and ensuring alignment with enterprise standards; Integrating, optimizing, and continuously enhancing ML-enabled services within scalable API and microservices architectures; Implementing model governance and lifecycle management within API ecosystems, including versioning, monitoring, and deprecation strategies; Applying ML-driven insights to API analytics for optimization, automation, and lifecycle governance decisions and creating visual reports and dashboards; and Designing and developing tooling for automation of API governance process.

Wage Range

$129,022.00 to $158,700.00

Time Type

Full time