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המשרה המקורית · נשמר לעיוןEasySend is a no-code platform for building and optimizing digital customer journeys, transforming paperwork-based processes in insurance, banking, and financial services into opportunities for customer engagement and business growth. We're looking for a senior DevOps Engineer to take our deployment and monitoring processes to the next level. This Position makes a significant impact on our product's agility and quality. You'll join a talented engineering team and a fun, collaborative atmosphere focused on achieving big things together. Responsibilities • Analyze the technology currently used across the company and develop processes and practices to improve and expand it • Help other engineers build practical demonstrations of proposed solutions and present them to the team • Work closely with engineering teams to define cloud architectures and software infrastructure needed for projects • Build and maintain world-class monitoring tools for our server environments (Grafana, Prometheus) • Implement and integrate AI tools across development, build, testing, and monitoring workflows - for example, AI agents to automate DevOps tasks, AI-based coding assistants such as GitHub Copilot, and AI-driven tools for anomaly detection and log analysis • Mentor and train other engineers across the company, and continuously improve company-wide processes • Work together with project management teams to track progress and implementation of initiatives • Document processes and procedures related to development, testing, deployment, and maintenance, and keep this documentation regularly updated
Requirements: • At least 4 years of experience in DevOps roles • Experience with Amazon Web Services (EC2, EKS) • Experience with Kubernetes • Experience with Hashicorp Terraform (or a similar tool) • Experience building and maintaining world-class monitoring tools (Grafana, Prometheus) • Programming languages: Python (required), Bash (required) • SQL/NoSQL databases: MySQL (required) • CI/CD tools: CircleCI (required), Jenkins (required), ArgoCD (required) • Experience working with AI tools to streamline development and operations workflows (such as GitHub Copilot, ChatGPT/Claude for writing scripts and documentation, AIOps tools for monitoring and incident detection) - a significant advantage • Current understanding of best practices in system security • Experience collaborating with teams across departments to drive orderly execution of a project plan • Professional experience in team building and project organization Nice to Have • Experience with S3, Redis, and Snowflake • Experience with Argo Workflows • Prior experience integrating AI tools and LLM-based automation agents into deployment and monitoring workflows • Background establishing or leading a DevOps team or function from scratch
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