DevOps Engineer

EasySend 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