Dev Ops Engineer (Search, Discovery and Content AI)

Key Skills

Aartificial intelligence, AWS, Azure, Bash scripting, Data Discovery, DevOps, Docker, Google Cloud Platform (GCP), Grafana, Machine learning techniques, NoSQL, Python Programming, Ruby on Rails, Scrum Agile Methodology, Terraform, User support and Troubleshooting

Job Description

As a DevOps Engineer, you will be responsible for bridging the gap between development and operations teams, fostering a culture of collaboration and continuous improvement. Your primary objective will be to manage, scale, and maintain the availability of the mammoth infrastructure that helps SDC power different use cases; streamline the software delivery process, ensuring faster and more reliable releases while maintaining a high level of quality and security.

You will be an integral part of the development lifecycle, focusing on automation, scalability, and system reliability.

Key Responsibilities:

• Large Scale Data: Work on large scale search index setup, setting up real-time messaging & data ingestion platforms, NO-SQL databases, web services & orchestration services and more.
• Continuous Integration and Deployment: Implement and maintain automated CI/CD pipelines to enable faster and more frequent releases of software applications and infrastructure changes.
• Infrastructure as Code (IaC): Develop and manage infrastructure automation using tools like Chef, Terraform, and Terragrunt to create scalable and reproducible environments.
• Monitoring and Logging: Set up monitoring and logging solutions to ensure the health, performance, and security of applications and systems. Respond promptly to alerts and incidents, troubleshooting issues to minimize downtime.
• Collaboration: Work closely with development and QA teams to facilitate smooth code deployments, testing, and operations. Promote a DevOps culture that encourages shared responsibility and open communication.
• Security: Implement and maintain security best practices in all stages of the development and deployment process. Conduct regular security assessments and audits to identify and address potential vulnerabilities.
• Cloud Services: Utilize cloud platforms like AWS and Azure to deploy and manage applications and infrastructure efficiently.
• Automation and Scripting: Develop automation scripts and tools to streamline manual processes, reducing human errors and improving efficiency.
• Performance Optimization: Identify performance bottlenecks and work on optimizing system performance to enhance the user experience.
• Capacity Planning: Forecast and plan resource requirements to ensure the infrastructure can handle current and future demands.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Hands-on proven experience as a DevOps Engineer or in a similar role with 5+ years of experience.
• Experience in creating and scaling infrastructure for technologies like Elastic Search, Kafka, HBase, Apache Spark etc.
• Experience in building, deploying and managing infrastructures in public clouds (AWS, Azure).
• Proficiency in scripting languages like Bash, Python, Go, or Ruby.
• Familiarity with containerization technologies such as Docker and container orchestration tools like Kubernetes.
• Good understanding of different cloud architectures and design principles.
• Knowledge of configuration management tools like Chef, Terraform, Terragrunt.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work in an Agile/Scrum environment.

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