Key Responsibilities:

• Large scale data: Work on large scale search index setup and tuning, setting up real-time messaging & data ingestion platforms, NO-SQL databases, web services & orchestration services and more.
• Continuous Integration and Deployment: Automating CI/CD pipelines to enable faster and more frequent releases.
• Infrastructure as Code (IaC): Develop and manage infrastructure automation using industry-standard tools to build scalable and reproducible environments.
• Set up monitoring and logging solutions to ensure the health, performance, and security of applications and systems. Respond promptly to alerts and incidents, solving 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 standard methodologies in all stages of the development and deployment process. Conduct regular security assessments and audits to identify and address potential vulnerabilities.
• Cloud Services: In-depth understanding of 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 improve the user experience.
• Resource Forecasting: Anticipate and plan resource needs to support current and future demands.

Requirements:

• Bachelor's / Post Graduation degree or equivalent experience in Computer Science, Information Technology, or related field.
• Proven experience as a DevOps Engineer or in a similar role with 6+ years of hands-on experience.
• Experience in crafting 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 industry-standard monitoring tools like Prometheus, Grafana, ELK stack.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.
• Ability to work in an Agile/Scrum environment.