Senior Integration Engineer
Department: Engineering
Location: San Francisco, Auckland
Employment Type: FullTime
You will be responsible for building robust and scalable integrations between various systems of record, ensuring seamless data flow and consistency across platforms. This role requires expertise in stateful two-way synchronization and a deep understanding of integration patterns.
Responsibilities
Design and implement robust integration solutions between various systems of record.
Develop stateful two-way synchronization mechanisms to ensure data consistency across platforms.
Build and maintain APIs for external system integrations.
Implement error handling and retry mechanisms for reliable data synchronization.
Monitor and optimize integration performance and reliability.
Collaborate with product and engineering teams to define integration requirements.
Document integration patterns and best practices for the team.
Troubleshoot and resolve integration issues in production environments.
Mentor junior engineers and contribute to best practices within the team.
Required Skills and Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
5+ years of experience in software development with a focus on integrations.
Strong programming skills in JavaScript/TypeScript and experience with Node.js.
Deep understanding of RESTful APIs and web service architectures.
Experience with stateful data synchronization and conflict resolution strategies.
Proficiency in working with various data formats (JSON, XML, CSV) and transformation techniques.
Experience with message queues and event-driven architectures.
Strong understanding of database systems and data modeling principles.
Experience with cloud platforms and infrastructure (AWS, Azure, or GCP).
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.
Preferred Qualifications
Experience with enterprise integration platforms (MuleSoft, Apache Camel, or similar).
Knowledge of ETL/ELT processes and data pipeline development.
Experience with real-time data streaming and processing.
Familiarity with GraphQL and modern API design patterns.
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