Sr. DevOps Engineer

Join us in scaling the infrastructure behind our flagship multilingual platform, iX Wisdom Translate, as we expand our Speech-to-Speech Translation capabilities.

We are seeking a Senior DevOps Engineer with deep expertise in real-time infrastructure, media transport (UDP/RTP), and low-latency streaming systems.

In this role, you will architect the high-performance backbone for AI-driven voice orchestration, ensuring seamless integration with global telephony and CCaaS platforms.

You will design, automate, and maintain mission-critical, multi-region environments in Azure, utilizing Terraform, Kubernetes, and GitHub Actions. Your focus will be on optimizing network layers for minimal jitter/packet loss and implementing advanced observability for high-concurrency, real-time workloads.

Key Responsibilities:

• Real-Time Infrastructure Orchestration: Design and scale high-performance Azure environments using IaaC and Kubernetes to support low-latency voice and AI workloads.
• Network & Media Optimization: Fine-tune networking layers and transport protocols (UDP/RTP) to ensure high-fidelity audio streaming with minimal jitter and packet loss.
• Observability & Reliability Engineering: Implement advanced telemetry for real-time traffic and manage multi-region failover to maintain high availability for global CCaaS integrations.
• Automated Delivery Systems: Architect robust CI/CD pipelines for the continuous deployment and testing of complex streaming components across globally distributed environments.

Qualifications & Skills:

Required:

• Experience: 7–10 years in DevOps or Cloud Engineering, specifically supporting real-time, low-latency, or telco-grade production environments.
• Networking Mastery: Deep expertise in UDP, RTP, and WebRTC protocols, including network performance tuning.
• Azure & Kubernetes: Proven track record in managing Azure native services (AKS, App Gateway) and advanced Kubernetes orchestration.
• Automation & IaaC: Advanced proficiency in Terraform for multi-region infrastructure and building complex CI/CD pipelines via GitHub Actions or Azure DevOps.
• Observability: Hands-on experience implementing full-stack monitoring for real-time traffic (e.g. Application Insights).

Nice to Have:

• Experience with media servers  and AI inference pipelines (OpenAI Realtime).
• Familiarity with telephony APIs or CCaaS integrations (e.g. Genesys Cloud CX, Amazon Connect, or Twilio).
• Scripting proficiency in Python for custom automation and performance testing tools.
• Knowledge of secure transport mechanisms such as SRTP, mTLS.

Why Join Us?

• Pioneer Real-Time AI: Architect the infrastructure for a next-generation Speech-to-Speech translation platform, integrating cutting-edge AI orchestration with global telephony.
• High-Impact Technical Challenges: Solve unique engineering problems at the intersection of low-latency media streaming (UDP/RTP) and large-scale cloud-native systems.
• Greenfield Infrastructure Ownership: Shape the foundation of our global platform using a modern stack (Azure, Terraform, AKS) with a focus on automation and high availability.