Principal Software Engineer, Connectors (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Software Engineer, Connectors (AI): Designs and architects scalable connector frameworks for enterprise application integrations, ensuring reliable data synchronization and lifecycle management across diverse external systems. Focus on resolving complex technical challenges related to API integrations, authentication mechanisms, and data synchronization.
Location: San Francisco / Los Angeles
Salary: $225,000 - $245,000 a year
Company
's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes.
What you will do
- Design and architect scalable, high-performance connector frameworks for enterprise application integrations.
- Define technical standards, best practices, and design patterns for connector development.
- Develop and maintain complex connectors for mission-critical enterprise applications such as Salesforce, Workday, ServiceNow, SAP, and others.
- Resolve complex technical challenges related to API integrations, authentication mechanisms, and data synchronization.
- Mentor and guide senior and mid-level engineers on technical design, coding practices, and problem-solving approaches.
- Collaborate with Product Management to translate business requirements into scalable technical solutions.
Requirements
- 12+ years of professional software engineering experience with at least 3+ years in a senior or principal engineering role.
- Bachelor’s degree in Computer Science, Software Engineering or related technical field.
- Expert-level proficiency in Java and Groovy, with a deep understanding of object-oriented design principles, design patterns, and enterprise application development.
- Strong experience working with RESTful APIs, SOAP services, and enterprise integration patterns, including authentication and authorization frameworks such as OAuth 2.0, SAML, JWT, and modern authentication protocols.
- Experience integrating with major enterprise applications and platforms such as Salesforce, Workday, ServiceNow, SAP, Active Directory, or other SaaS and on-premise enterprise systems.
- Strong adoption and high usage of AI-assisted development tools to improve engineering productivity, debugging efficiency, and code quality.
Culture & Benefits
- Drive operational efficiency, and reduce compliance costs.
- Safeguard digital assets.
- Accelerate deployment and usage of AI.
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