DevOps Engineer

What You Will do?

• Work with a diverse set of technologies, simplifying complex solutions.
• Collaborate closely with multiple teams across the organization.
• Be part of a team responsible for designing, optimizing, and maintaining a high-scale production environment that handles massive traffic loads with high complexity.
• Architect, deploy, and maintain robust and scalable cloud infrastructures on AWS and Azure.
• Develop and optimize CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
• Implement and manage monitoring, logging, and alerting solutions across cloud platforms to ensure application health and performance.
• Provide advanced troubleshooting and resolution for infrastructure issues in production, development, and testing environments.

• 4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments. Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
• Deep expertise in cloud technologies and application security, with a strong focus on best practices for securing resilient, scalable, and cost-efficient architectures.
• Extensive experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
• Proficiency in automation tools such as Terraform, and hands-on experience with CI/CD pipelines using tools like Jenkins.
• Strong knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
• Proficiency in scripting languages (e.g., Node.js, Bash) to automate workflows and enhance operational efficiency.
• Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
• Passionate about learning new technologies and tackling complex challenges in a fast-paced environment.
• Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.

• Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
• Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
• Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.