Sr. DevOps Engineer

Concentrix; Kraków; On-site; PLN 156,240 - 200,880; Full time

Job summary

A leading tech firm is looking for a Senior DevOps Engineer in Kraków, Poland. In this role, you will architect high-performance Azure environments focusing on real-time infrastructure and low-latency streaming systems. You will design CI/CD pipelines and optimize networking for audio streaming. Successful candidates will have extensive experience in cloud engineering, proficiency in Terraform and Kubernetes, and the ability to handle high-concurrency workloads. Join us to pioneer the next generation of Speech-to-Speech translation platforms.

Qualifications

• 7–10 years of experience in DevOps or Cloud Engineering.
• Deep expertise in UDP, RTP, and WebRTC protocols.
• Experience managing Azure native services (AKS, App Gateway).
• Advanced proficiency in Terraform for multi-region infrastructure.
• Hands-on experience with full-stack monitoring.

Responsibilities

• Design and scale Azure environments for low-latency voice workloads.
• Tune networking layers for high-fidelity audio streaming.
• Implement telemetry for real-time traffic and manage failover.
• Architect CI/CD pipelines for complex streaming components.

Skills

Real-time infrastructure orchestration

Networking mastery

Azure management

Kubernetes orchestration

Terraform proficiency

Observability expertise

Tools

Terraform

Kubernetes

Azure

GitHub Actions

Job description

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 IaC 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

• 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 & IaC: 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.