Job
Description
About Us - Attentive.ai is a fast-growing vertical SaaS start-up, funded by Peak XV (Surge), InfoEdge, Vertex Ventures, and Tenacity Ventures that provides innovative software solutions for the landscape, paving & construction industries in the United States. Our mission is to help businesses in this space improve their operations and grow their revenue through our simple & easy-to-use software platforms. Position Description: We are looking for a DevOps Engineer to join our engineering team and help us develop and expand various our internal pipelines and infrastructure As a DevOps Engineer at Attentive, you will be working closely with different engineering, computer vision, testing, and product teams to improve and expand their workflows and cloud resources. We offer an inspiring environment full of young people with a lot of ambition. You get the freedom to implement your own designs, solutions, and creativity Roles & Responsibilities: Knowledge of building and setting up new development tools and infrastructure Setup uptime checks, resource health monitoring, and other monitoring tools (Gcp stack-driver, ELK) Managing and scaling cloud-based infrastructure Troubleshooting and resolving infrastructure issues Develop and integrate solutions for the automation of SDL processes such as automated code checks, tests, deployments, rollbacks, etc Automating the build, test, and release process Creating and maintaining documentation for infrastructure and processes Follows the established processes and best practices to ensure code quality and security. Requirements 2-3 years of work experience as a Cloud & DevOps engineer Excellent understanding of Python, Groovy , and bash scripting Experience working on Linux-based infrastructure Experience working on cloud services like GCP,AWS Hands-on experience with CICD Tools Experienced in deploying a containerized application, static websites deployment, etc Working knowledge of deploying and maintaining tools like Github, JIRA, Jenkins Experience in IaC tools Terraform, Ansible Good To Haves: Experience working with serverless application deployments. Experience working with source code scanning and dependency management. Familiarity with data management and ML Ops (Machine Learning) process and tools.
