Full-Time DevOps Engineer

• Elasticsearch and Logging Solutions: Implement & Manage ELK stack solutions, contribute to Design centralized logging solutions. Configure Observability metrics and parameters Setup & Manage Elasticsearch indices and self-hosted clusters & Optimize configurations and fine-tune bulk load processes Integrate web APIs for enhanced functionality.
• Technical Leadership: Participate actively in technical discussions. Advocate for logging best practices across teams. Troubleshoot complex issues related to logging and data ingestion. Plan and manage cluster capacity effectively.
• CI/CD Pipeline Development: Design, implement, and manage CI/CD pipelines to streamline software development and deployment. Collaborate with development teams for efficient code integration and delivery.
• Infrastructure Automation: Develop scalable and reliable cloud infrastructure solutions using infrastructure as code. Write and maintain scripts for infrastructure provisioning and management.
• Containerization and Orchestration: Create and maintain Docker images for application containerization. Deploy and manage Kubernetes clusters. Utilize Helm charts for standardized and efficient application deployment.
• Artifact Management and Security Scanning: Manage artifact repositories for storage and versioning. Conduct security scanning to ensure artifact integrity and compliance.
• Cloud Security and Secrets Management: Define and enforce security policies across cloud environments. Secure sensitive data using secrets management solutions. Integrate secrets management seamlessly with systems and applications.
• Collaboration, Mentorship, and Continuous Improvement: Mentor junior engineers and share technical expertise. Maintain comprehensive documentation of systems and processes. Stay updated with industry trends and propose innovations to enhance system reliability and efficiency.

• 5+ years of extensive experience with Elasticsearch and ELK stack implementations & Observability (certification is an added advantage).
• Good proficiency in using AI/ML tools in DevOps for writing codes to troubleshoot issues.
• Proficiency in CI/CD tools, infrastructure as code, Cloud Services, Docker, Kubernetes, Helm, artifact management, security scanning, and secrets management.
• Strong understanding of CI/CD pipelines and infrastructure automation.

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