Senior DevOps Engineer

 Posted 2 hours ago
     
5-10 years experience
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AI Summary

Design, automate, and operate the core cloud infrastructure on AWS to ensure scalability and resilience. Focus on optimizing Kubernetes clusters, improving CI/CD pipelines, and implementing strong observability and security.

🚀 Join Visor.ai as a Senior DevOps Engineer

At Visor.ai, we are on a mission to revolutionise AI and automation for Contact Centers. We humanize AI Agents so companies can automate up to 85% of customer interactions, boosting efficiency without compromising experience.

Founded in 2016 with big dreams and an innovation award, we have grown into a trusted AI partner for leading brands across multiple industries and countries. Now, we are looking for a Senior DevOps Engineer to join our team and help us scale a highly reliable, high-performance AI platform.

🤖 Your Mission

As a Senior DevOps Engineer, you’ll be responsible for designing, automating, and operating the core infrastructure of our platform, ensuring scalability, resilience, and high development velocity.

🎯 What You’ll Do

☁️ Cloud & Platform Architecture

  • Design and evolve our cloud architecture on AWS

  • Operate and optimize Kubernetes clusters in production

  • Improve scalability, reliability, and performance of the platform

  • Work closely with engineering teams to reduce lead time for releases

⚙️ Automation & Delivery

  • Automate infrastructure using Terraform (Infrastructure as Code)

  • Build and improve fast, reliable CI/CD pipelines (GitLab)

  • Reduce manual work through automation and internal self-service

  • Introduce advanced automation and AI-assisted tools into operational workflows

📊 Performance, Cost & Reliability

  • Optimize cloud costs and resource usage

  • Implement strong observability (monitoring, logging, tracing)

  • Improve security and networking (VPCs, routing, private networking, IAM)

  • Support low-latency, real-time workloads (voice and streaming)

😎 What We’re Looking For

  • 5+ years of experience in DevOps / Cloud / Platform Engineering

  • Strong hands-on experience with AWS in production environments

  • Real-world experience running Kubernetes in production (not just labs)

  • Strong networking knowledge (VPC, routing, NAT, load balancers, DNS, etc.)

  • Strong experience with Infrastructure as Code (Terraform is mandatory)

  • Automation-first mindset (you avoid manual work whenever possible)

  • Ability to work closely with engineering teams

  • Comfortable using AI-assisted tools (e.g. Claude Code or similar) to boost operational productivity

  • Openness to integrating AI-based automation into day-to-day workflows

Nice to Have

  • Experience with real-time / voice / streaming systems

  • Experience with cloud cost optimization

  • Advanced observability setups

  • Experience in multi-tenant SaaS environments

🎁 What’s in it for you

💰 Competitive compensation package
🩺 Health insurance
🚀 Career growth opportunities
🎟 Access to training, events, and conferences
🏡 Remote First model – and if you stop by one of our offices:
☕ Free coffee | 🎮 Arcade | 🌇 Rooftops & terraces | 🎉 Team events

💪 Ready to shape the future of AI with us? Apply now!

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