Join Vonage and help us innovate cloud communications for businesses worldwide!
Vonage is a global cloud communications leader that helps businesses accelerate their digital transformation through our fully programmable Unified Communications, Contact Center Applications, and Communications APIs.
Why This Role Matters
We're seeking a talented mid-senior level DevOps Engineer to join our AI group, where you will play a crucial role in building and optimizing AI/ML driven services focused on audio, text, and conversational AI. Your work will not only enhance our existing products but also drive cutting-edge innovation, shaping the future of AI-powered solutions within our company.
If you're passionate about scaling AI systems and looking for a role can help to grow your career, we'd love to hear from you!
Your Key Responsibilities
- Automate business processes to boost engineering productivity and operational excellence.
- Optimize AI/ML performance by working closely with Data Science and Development teams.
- Develop and maintain secure, compliant CI/CD pipelines and incident management tools.
- Collaborate closely with cross-functional teams to integrate security, compliance, and monitoring solutions across engineering workflows.
- Design and implement central observability dashboards assimilating data from various Monitoring, Alert Management and Analytics platforms
- Provide training and support on internal tools to enhance team efficiency.
What You'll Bring
- 4+ Years experience working in a similar mid-Senior level DevOps Engineer role in a larger organization where you are focusing on system design rather than day-to-day operations tasks.
- Cloud & Infrastructure – Expert in AWS (EKS, EC2, VPC, IAM, S3, Lambda, API Gateway, etc.), Terraform/Terragrunt, and Infrastructure as Code (Pulumi, Terraform).
- Containerization & Orchestration – Extensive experience with Docker, Kubernetes, Helm, and ArgoCD.
- CI/CD & Automation – Strong expertise in Azure DevOps, GitHub Actions, ArgoCD, and DevOps issue management.
- Monitoring & Security – Experience with logging, monitoring (Grafana, Prometheus, CloudWatch), and a solid understanding of IT security and networking.
- Platform Engineering & AI – Experience building internal platform tools in Python or Go; AI/ML model experience is a plus.
- Collaboration & Integration – Skilled in integrating DevOps tools with Jira, Slack, Confluence, Google Docs, and analytics platforms.
- Self-Driven & Automation-Focused – Works independently with a mindset that everything can be automated.
Experience We Consider a Plus
- MLops / LLMops experience.
- Working on AI/ML projects including building infrastructures, deploying and running self hosted models.
There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.
Who We Are
At Vonage, our mission is to accelerate the way the world connects. As an emerging leader in the $10B+ cloud communications platform (CPaaS) market, we empower businesses to connect better with their customers, employees, and partners through transformative communications experiences. Our innovative solutions span messaging, voice, video, and data technologies, providing seamless and engaging interactions for customers like Airbnb, Viber, WhatsApp, and Snapchat.
Join us to be part of a dynamic team committed to shaping the future of connectivity!
Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.