DevOps Engineer
TLDR
Work with the latest DevOps tools in a collaborative environment, fostering growth with a passionate leadership team and contributing to automation with machine learning technologies.
Hello there! Infrrd here.
Haven’t heard of us before? No problem. First off, it’s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. We are looking for DevOps Engineer with 2-5 years of experience
Someone who has:
- Graduated (B.Tech) from reputed university.
- 3+ years of hands-on experience of continuous integration, continuous delivery, automated testing and all phases of the Software Development Life Cycle.
- Expert in GitHub, branching, integration, and merging techniques.
- Experience performing integrations for production builds and server hotfixes.
- Hands-on experience in setting up Jenkins DevOps pipeline for a project (Automated deployments with Continuous Integration/Delivery workflows).
- Kubernetes(administration) hands-on Experience & Expertise is a must.
- Experience with software build and deploy tools such as Terraform, AWS EC2, S3, Route 53, AWS CodePipeline, AWS Codebuild, AWS Codestar, AWS Cloudwatch, Nexus or equivalent artificatory management tools.
- Experience with setting up & configure API Management tools.
- Experience around AWS core platform and PAAS services, Services bus, Redis Cache.
- Exposure to configuration management tools such as Ansible or similar- Scripting experience in Groovy, PowerShell or Shellscript.
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Exposure and expertise in DevSecOps would be nice to have.
What you will do:
- Work with the latest DevOps tools and build expertise on them.
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You will work with a leadership team that is passionate, considerate, curious to learn and grow.
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Collaboration with different dev and QA teams.
Looking forward to talking to you.
Infrrd builds an Intelligent Document Processing platform that leverages AI and Machine Learning to automate data extraction from complex documents. This solution is designed for enterprises looking to streamline their operations by reducing the manual effort involved in processing unstructured data.
- Employees
- 201-500 employees
- Industry
- IT Services