4 дня назад
Software Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineer (Node.js/TypeScript/Java): Building scalable digital messaging services for Genesys Cloud with an accent on message routing, delivery, tracking, analytics, and integrations with modern communication channels. Focus on designing fault-tolerant distributed microservices, strengthening cloud reliability and observability, and implementing automated testing across high-volume customer interactions.
Location: Virtual Office, Tamil Nadu, India
Company
provides an AI-powered experience orchestration platform that connects people, systems, data, and AI for more than 8,000 organizations worldwide.
What you will do
- Design and evolve scalable message-processing services for the Cloud digital messaging platform.
- Develop message routing, delivery, tracking, and analytics capabilities across digital communication channels.
- Build and maintain integrations with Meta, X, SMS, WhatsApp, and LINE.
- Improve fault tolerance, scalability, security, observability, and operational resilience across distributed cloud services.
- Contribute to architectural decisions, technical design reviews, code reviews, and engineering practices.
- Implement automated testing, participate in incident response, and join the engineering on-call rotation.
Requirements
- 3+ years of software engineering experience with Node.js, TypeScript, and Java.
- Experience designing distributed systems, microservice architectures, fault-tolerant services, and REST APIs.
- Experience with unit, integration, and end-to-end automated testing.
- Familiarity with Amazon Web Services, Git, networking concepts, and software version control.
- Strong problem-solving, analytical, written, and verbal communication skills.
- Ability to work independently and collaborate effectively across distributed engineering teams.
Nice to have
- Experience with Meta, X, or other social network APIs and digital communication channels.
- Experience with AWS services including DynamoDB, S3, SQS, SNS, and Lambda.
- Knowledge of asynchronous message processing, serverless architectures, messaging deliverability, and observability tools.
- Familiarity with messaging privacy and compliance requirements, including GDPR and CAN-SPAM.
Culture & Benefits
- Flexible-first ways of working within a global engineering organization.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored employee and family programs.
- Work on AI-powered technology used at enterprise scale.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews, followed by final steps.
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