Shure

Cloud Operations Intern

HyderabadInternshipPosted 2 days ago

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Support cloud infrastructure operations and engineering at Shure, contributing to systems that manage compute, storage, networking, and security across cloud platforms
Assist with deployment automation, monitoring, and troubleshooting of cloud-based applications and services
Help maintain and optimize cloud resources, focusing on reliability, cost efficiency, and operational excellence
Work with modern DevOps practices and tools in a fast-paced production environment

Currently enrolled in or recently finished a Bachelor's or Master's degree in Computer Science, IT, Computer or Electronics Engineering, Software Engineering, AI, Data Science, or related discipline
Solid foundation in cloud computing concepts: compute, storage, identity and access management, virtual networks, and networking (DNS, TCP/IP, HTTP, load balancing)
Working proficiency in at least one language such as Python, Java, TypeScript, or comparable programming or scripting language
Familiarity with Git, CI/CD pipelines, APIs, JSON, YAML, SQL, and issue-tracking systems like Jira
Knowledge of large language models, generative AI, and agentic AI frameworks and their use in software engineering or IT operations
Strong troubleshooting skills with ability to trace issues across entire systems
Comfort learning new technologies and tools quickly on the job
Ability to articulate technical findings and solutions to team members
Detail-oriented approach to work with careful handling of production systems
Self-directed ownership of tasks and collaborative mindset

Hands-on experience with AWS or Azure from coursework, sandbox labs, or personal projects
Entry-level cloud certifications: AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, or Microsoft Azure Fundamentals (AZ-900)
Experience with Infrastructure as Code: CloudFormation, Terraform, or AWS CDK
Exposure to monitoring platforms such as CloudWatch, Azure Monitor, Grafana, or OpenTelemetry
Familiarity with continuous integration tools: Jenkins, GitHub Actions, or Azure DevOps
Interest in FinOps practices and cloud cost optimization using AWS Cost Explorer, CUR 2.0, Microsoft Cost Management, or business intelligence tools
Exposure to prompt engineering, RAG, tool and function calling, MCP, Strands Agents, LangGraph, Amazon Bedrock, or model evaluation techniques
Understanding of responsible AI: data privacy, PII safeguards, least-privilege principles, prompt injection risks, hallucination mitigation, and human oversight controls
Prior work on academic, personal, or open-source projects involving cloud infrastructure automation, monitoring systems, cost analysis, or AI-assisted workflows