Observe.AI - Senior DevOps Engineer - Site Reliability

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

CI - CD AWS Azure Google Cloud Jenkins Kubernetes

As an AI/ML company, we operate a robust infrastructure heavily reliant on computing and data processing. Managing multiple AWS accounts, diverse environments, and Kubernetes deployments demands a comprehensive approach to automation that extends beyond the CI/CD pipeline. The complexities of scalability, reliability, security, and cost optimization persist, presenting continuous challenges. If the prospect of addressing these intricacies in a dynamic environment excites you, this position is an ideal fit.

Responsibilities :

- Manage the streamlining of Infrastructure practice by collaborating with cross-functional teams to improve system reliability, performance, and availability.

- Design, implement, and maintain scalable and reliable infrastructure solutions on cloud platforms such as AWS, GCP, etc.

- Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation for automated provisioning and configuration.

- Manage and optimize Kubernetes clusters to support our containerized applications.

- Monitor, troubleshoot, and resolve incidents and system outages in a 24/7 production environment.

- Develop and maintain CI/CD pipelines to automate deployment, testing, and release processes.

- Champion best practices for developer productivity, code quality, and collaboration within development teams.

Requirements :

- Bachelor's degree in Computer Science, Information Technology, or related field with 3-7 years of industry experience as an SRE/DevOps Engineer.

- Relevant certifications (e. g., AWS Certified DevOps Engineer, Kubernetes Certification) are a plus.

- Expertise in Kubernetes, including cluster management and orchestration.

- Expertise in cloud platforms such as AWS, GCP, or Azure.

- Experience with Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or equivalent.

- Understanding of CI/CD pipelines and automation tools (e. g., Jenkins, GitLab CI/CD).

- Expertise in scripting and programming skills (e. g., Python, Shell, Go).

- Knowledge of monitoring and logging tools (e. g., Prometheus, ELK stack).

- Stay up-to-date with industry trends and emerging technologies to drive innovation and best practices for security, compliance, and data protection.

Why Explore a Career at Observe.AI :

Observe. AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe. AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.