AI - DevOps Engineer - AWS/Kubernetes
2 weeks ago
About Observe.AI :
Observe.AI is the leading conversation intelligence platform for boosting contact center performance. Built on the industry's most accurate AI engine that analyzes 100% of interactions across channels, Observe.AI maximizes agent performance, pinpoints new revenue and coaching opportunities, and up-levels quality assurance and compliance.
Observe.AI's powerful workflow automation allows contact centers to apply meaningful insights and take action at speed and scale. The result is stronger business outcomes, such as better customer experience, higher revenue, and better retention.
Observe.AI is trusted by hundreds of customers and partners across industries - including Pearson, 23andMe, Accolade, Group 1 Automotive, and Public Storage - and is backed by Softbank Vision Fund 2, Zoom, Menlo Ventures, Scale Ventures, and Nexus Ventures.
Observe.AI is headquartered in San Francisco with offices in Bangalore, India. For more information, please visit www.Observe.AI.
Job Description :
Function: IT Operations and Support - DevOps / Cloud
As a DevOps Engineer, you'll help design and automate the foundation that powers our AI/ML platforms, ensuring seamless operations across AWS accounts, Kubernetes clusters, and diverse environments while driving efficiency and cost optimization.
Responsibilities :
- Help in the definition of best practices in production monitoring and alerting, and be able to own the application of the same.
- Assist and troubleshoot in the setup and maintenance of various environments (Production, testing, etc).
- Automate, optimize, and drive efficiency of effort, code, and process.
- Be able to assist with product stability and closely collaborate with other tech teams to suggest improvements for the same.
- Assist in the implementation of security best practices, especially in public cloud infrastructure and in audit/compliance requirements.
- Own integration of existing systems using appropriate Kubernetes/Docker / Terraform scripts to automate and improve the efficiency of the deployment.
- Develop CI/CD pipelines for various services.
- Coordinate and monitor releases of the same.
Requirements :
- Expertise in scripting and programming skills (e. g., Python, Shell, Go).
- Good problem-solving and hands-on with the programming language or scripting for infra-automation.
- CI/CD experience with Jenkins and cloud deployment technologies like Code Deploy (AWS), and/or GitLab.
- Understanding of enterprise software development and infrastructure processes and lifecycle
- Ability to adjust and apply this knowledge in a dynamic environment using Agile or similar methodologies.
- Hands-on experience with Infrastructure as Code, using Terraform, CloudFormation, or other tools.
- Hands-on experience with microservices and distributed applications, such as orchestration and containers, Kubernetes, and/or serverless technology.
- Understanding of different kinds of infra components such as DB/pub-sub services/cache, etc.
- Bachelor's or Master's Degree in Engineering with 1-3 Years of experience.
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