DevOps Engineer (AI)

DevOps Engineer (Vonage AI)

Why this role matters;

Vonage AI group is looking for a sharp DevOps engineer to work on AI/ML based services specializing in audio, text and conversational AI systems. The developed services enhance existing products and drive innovation with new products within the company.

What will you do?

Drive operational excellence with automation of business processes that enhance productivity of Engineering teams
Work closely with Data Science and Developers for performance optimization.
Proactively identify opportunities for business process improvements, recommending and driving implementation of tools and technologies
Collaborate closely with cross-functional teams to integrate tools and services for Security and Compliance
Build and maintain internally developed and vendor tools utilized to support business operations
Design and implement central observability dashboards assimilating data from various Monitoring, Alert Management and Analytics platforms
Develop and maintain tools to support Incident Management with integration across Okta, Slack, Jira, Confluence and Google Docs
Develop secure and compliant CI/CD pipeline frameworks which can be replicated and adopted by cross functional engineering teams
Build tools to generate periodic reports on service availability, performance, top incidents and other key organizational metrics
Provide training and support to engineering team on business support tools

What you will bring;

Willingness and ability to learn Tools & Technologies quickly and apply them to improve business processes
Experience building internal platform engineering tools with Python or Go
Expertise working with Docker, Kubernetes, Helm and Argo.
Experience with IaC tools like Terraform, Pulumi or other.
Experience with Code Repositories, and Code deployment tools GitHub, GitHub Actions, Azure Devops, ArgoCD
Extensive experience with AWS components and services like EKS, EC2, VPC, CloudWatch, S3, IAM, Lambda, API Gateway, SQS
Experience developing integrations with Collaboration and Issue tracking tools like Slack, Jira, Confluence, Google Docs, Google Sheets
Experience using and developing integrations with Monitoring, Alert Management, Analytics platforms like Opsgenie, Nagios, Grafana, Prometheus, AWS cloudwatch, Elastic Search, Kibana, Tableau
Expertise with Linux Operating Systems and good understanding of TCP/IP networking, IT Security concepts
Knowledge of user identity management, single sign on and role-based access concepts
Ability to present/lead technical discussions with cross functional Development, IT and Security teams
Self-directed, works independently and with the attitude that everything can be automated

Good to have:

MLops / LLMops experience
Working on AI/ML projects including building infrastructures, deploying and running self hosted models.