About Company
Veritone is a pioneer in artificial intelligence and intelligent enterprise solutions. We are transforming the way businesses and governments extract value from their data, offering an operating system for AI that orchestrates a diverse ecosystem of machine learning models. Our innovative platform, aiWARE™, empowers organizations to rapidly develop and deploy AI-powered applications, automating complex tasks and delivering actionable insights across various industries including media, government, legal, and more. At Veritone, we believe in the power of AI to drive profound positive change, and we are committed to building a diverse, inclusive, and dynamic team that shares our passion for innovation and excellence. Join us in shaping the future of AI and contribute to a company culture that values curiosity, collaboration, and continuous improvement.
Job Description
Are you a passionate and skilled Cloud Engineer looking to make a significant impact in a cutting-edge AI company? Veritone is seeking an experienced Remote Cloud Engineer to join our innovative team. In this pivotal role, you will be instrumental in designing, implementing, and maintaining scalable, secure, and highly available cloud infrastructure that underpins our revolutionary aiWARE™ platform. This position offers the unique opportunity to work with advanced AI technologies, collaborating with talented engineers and data scientists to solve complex challenges and drive the evolution of our cloud environment. You will contribute directly to the reliability, performance, and efficiency of our global operations, ensuring our AI solutions are delivered seamlessly to clients worldwide. We are looking for an individual who thrives in a dynamic, fast-paced setting, possesses strong problem-solving abilities, and is committed to continuous learning and improvement. This remote role empowers you to work from the comfort of your home, while remaining connected to our vibrant team culture through virtual collaboration tools and regular team engagements. If you’re ready to elevate your career and contribute to groundbreaking AI innovation, we encourage you to apply.
Key Responsibilities
- Design, implement, and manage highly available and scalable cloud infrastructure on platforms like AWS, Azure, or GCP, with a focus on cost optimization and performance.
- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Monitor system performance, troubleshoot complex issues, and ensure optimal operation, security, and compliance of cloud environments.
- Implement and maintain robust CI/CD pipelines to streamline software deployment and release processes, ensuring reliability and efficiency.
- Collaborate closely with development teams to optimize application performance, scalability, and resilience in the cloud.
- Develop and enforce stringent security best practices for all cloud resources, including identity and access management (IAM), network security, and data protection.
- Manage and optimize containerization technologies (e.g., Docker, Kubernetes) and serverless architectures to enhance operational flexibility.
- Participate in on-call rotations, providing timely resolution to critical incidents and ensuring high availability of services.
- Document cloud architecture, processes, and operational procedures thoroughly to facilitate knowledge sharing and team efficiency.
- Evaluate new cloud technologies and solutions to identify opportunities for improvement and innovation within our platform.
Required Skills
- 5+ years of professional experience in Cloud Engineering, Site Reliability Engineering, or DevOps roles.
- Strong proficiency with at least one major cloud provider (AWS, Azure, or GCP), including a deep understanding of their core services.
- Extensive experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi) for managing cloud resources.
- Solid understanding and hands-on experience with containerization technologies (Docker, Kubernetes).
- Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for automation and system administration.
- Demonstrated experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD).
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, Datadog) for proactive system management.
- Strong understanding of networking concepts, security best practices, and database management in the cloud.
- Excellent problem-solving, analytical, and communication skills, with a proven ability to collaborate effectively in a remote team environment.
Preferred Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Relevant professional cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator Associate, Google Professional Cloud Engineer).
- Experience with serverless computing paradigms (e.g., AWS Lambda, Azure Functions, Google Cloud Functions).
- Familiarity with data streaming technologies (e.g., Kafka, Kinesis) and big data platforms.
- Experience working in an AI/ML development environment, understanding specific infrastructure needs.
- Knowledge of configuration management tools (e.g., Ansible, Chef, Puppet) is a plus.
Perks & Benefits
- Comprehensive health, dental, and vision insurance for you and your family.
- Generous paid time off, including vacation, sick leave, and company holidays.
- 401(k) retirement plan with competitive company match to secure your future.
- Opportunities for professional development, continuous learning, and career growth through training and certifications.
- A dynamic, inclusive, and innovative work environment where your contributions are valued.
- Flexible remote work options with a strong emphasis on work-life balance.
- Employee assistance programs and wellness initiatives to support your overall well-being.
- Access to cutting-edge technology and challenging projects that push the boundaries of AI.
- Employee discounts on various products and services.
How to Apply
Interested candidates are encouraged to apply directly through our careers portal. Please click on the application link below to submit your resume and cover letter, detailing your experience, technical expertise, and why you are a great fit for Veritone. We look forward to reviewing your application and exploring how you can contribute to our mission!