Software Engineering Intern

Job Description

About Us Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com Job Overview: At Automation Anywhere, we are committed to delivering operational excellence for our customers. Under the guidance of the Senior Manager of Cloud Operations, we are seeking a student or recent graduate with a technical degree to help support the existing Cloud hosted customers, and to coordinate the resolution of customer issues across internal teams. The intern will work with cross functional, globally distributed teams including Cloud Infra Observability, Availability, Security, Operations, FinOps and Engineering to assist with the coordination and tracking of Cloud Deployment related activities for AAI suite of products. Also help with new automation modules using Terraform that interact with Public Cloud and AAI Application deployments. The position requires organizational skills, attention to detail, excellent oral and written communication, and the ability to collaborate across a distributed organization. Skills Requirements Basic Understanding of how cloud-based web applications work and interest in measuring, analyzing, and improving distributed systems Familiar with Automation development using any one of the scripting languages like Python . Exposure to Terraform or Ansible will be a plus. Basic understanding of Docker and Kubernetes Basic Understanding of Networking and Security Technology for cloud services Basic Understanding of Continuous Deployment tools such as Jenkins or Env0 To understand key cybersecurity concepts and their impact on serverless resources Should have a working knowledge of emerging technologies relevant to cloud computing, e.g., Machine Learning (ML) and Artificial Intelligence (AI) Primary Responsibilities Design, develop and implement hybrid cloud environments Deploy and automate infrastructure platform services in Public Clouds (AWS, GCP, and Azure) using Terraform and Ansible Design and manage Continuous deployment using Kubernetes and Jenkins To develop and implement AI solutions in Cloud Monitor environments for any impact using observability tools and take actions to remediate and/or mitigate issues Perform troubleshooting and root cause analysis for Service Incidents and document them