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AudioCodes डिजिटल कार्यस्थल के लिए वॉइस नेटवर्किंग और मीडिया प्रोसेसिंग तकनीक विकसित करती है। इसके उत्पाद और सेवाएँ उद्यमों तथा सेवा प्रदाताओं को यूनिफाइड कम्युनिकेशन, कॉन्टैक्ट सेंटर और होस्टेड व्यावसायिक सेवाओं के लिए ऑल-आईपी वॉइस वातावरण बनाने और प्रबंधित करने में सहायता करती हैं। कंपनी दुनिया भर के बहुराष्ट्रीय संगठनों और शीर्ष स्तर के दूरसंचार ऑपरेटरों के साथ काम करती है तथा आधुनिक नेटवर्क पर व्यावसायिक संचार को जोड़ने वाले बुनियादी ढाँचे पर ध्यान केंद्रित करती है।
Software Architect, Enterprise Contact Center
Shape scalable Azure, microservices, and AI architecture for AudioCodes’ enterprise contact center products. Set technical direction across cloud, voice, and real-time communications.
विवरण
- Set and evolve system architecture and the technical roadmap.
- Make architectural decisions that support scalability, reliability, security, and performance.
- Set engineering standards, practices, and design principles across development teams.
- Guide and mentor engineers throughout the software development lifecycle.
- Work with product, engineering, and operations teams to deliver quality solutions.
- Take part in architecture and design reviews, code reviews, troubleshooting, and performance tuning.
- Lead cloud-native and DevOps work to improve deployment, monitoring, and operations.
- Encourage AI-assisted development practices to improve productivity, code quality, and delivery speed.
- Turn business and product needs into scalable technical solutions and guide their implementation.
- Coordinate with Product Management, software development, QA, security, and operations stakeholders.
आवश्यकताएँ
- Bachelor’s degree in computer science, software engineering, electrical engineering, or a related discipline.
- At least five years of experience in software architecture, system design, or senior technical leadership.
- Demonstrated experience designing complex, large-scale software systems.
- Strong knowledge of distributed systems, microservices, cloud-native applications, and SaaS platforms.
- Experience designing scalable services, APIs, integrations, and communication between distributed components.
- Experience with Microsoft Azure or another major public cloud.
- Strong software engineering skills, including contributions to technical design, architecture reviews, and complex problem-solving.
- Sound understanding of software quality attributes such as scalability, reliability, availability, security, performance, and maintainability.
- Practical use of AI tools for software development, prototyping, and research, plus familiarity with integrating AI services into software products.
- Ability to explain architectural decisions clearly to technical and non-technical stakeholders.
- Excellent written and spoken English.
- Advantage: experience with Node.js, C#, or comparable modern backend technologies.
- Advantage: experience with Kubernetes and containerized cloud environments.
- Advantage: familiarity with generative AI, large language models, speech-to-text, text-to-speech, or conversational AI platforms.
- Advantage: knowledge of SIP, VoIP, telephony, or real-time communications systems.
- Advantage: experience with contact center, unified communications, customer experience, or Microsoft Teams solutions.
- Advantage: experience with multi-tenant enterprise SaaS platforms.
लाभ
- The posting does not specify benefits, perks, or additional compensation.
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