AudioCodes
AudioCodes
AudioCodes izstrādā balss tīklu un multivides apstrādes tehnoloģijas digitālajai darba videi. Tās produkti un pakalpojumi palīdz uzņēmumiem un pakalpojumu sniedzējiem izveidot un pārvaldīt pilnībā uz IP balstītas balss vides, kas atbalsta vienoto komunikāciju, kontaktu centrus un mitinātus biznesa pakalpojumus. Uzņēmums visā pasaulē sadarbojas ar starptautiskām organizācijām un pirmā līmeņa telekomunikāciju operatoriem, koncentrējoties uz infrastruktūru, kas savieno biznesa komunikāciju mūsdienu tīklos.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • The posting does not specify benefits, perks, or additional compensation.

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