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Internship Azure Support Engineer Jobs in Austin, TX

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

... and related Azure services. * Support the development of reliable data foundations that enable ... Experience with SQL and relational databases through coursework, internships, personal projects, or ...

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All JobsAzure Support Engineer JobsInternship Azure Support Engineer JobsInternship Azure Support Engineer Jobs in Austin, TX

Internship Azure Support Engineer information

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How much do internship azure support engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship azure support engineer in Austin, TX is $25.19, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.61 per hour, depending on experience, location, and employer.

What does an internship Azure Support Engineer do?

An Internship Azure Support Engineer assists customers and organizations in resolving technical issues related to Microsoft Azure, a cloud computing platform. Interns in this role typically troubleshoot problems, provide technical support, and help with the deployment and management of cloud-based applications and services. They work under the guidance of experienced engineers, learning about Microsoft Azure products, support processes, and customer service skills. The internship also provides hands-on experience with cloud technologies and often involves documentation, communication, and collaboration with various teams.

What are the key skills and qualifications needed to thrive as an internship Azure Support Engineer?

To thrive as an Internship Azure Support Engineer, you need a foundational understanding of cloud computing concepts, networking, and Microsoft Azure services, often supported by coursework or entry-level certifications like Microsoft Azure Fundamentals (AZ-900). Familiarity with Azure Portal, troubleshooting tools, and ticketing systems is typically required. Strong communication, problem-solving abilities, and a willingness to learn make candidates stand out in this customer-facing technical role. These skills are essential for efficiently resolving client issues, supporting cloud environments, and growing into more advanced technical positions.

What types of projects and tasks can an internship Azure Support Engineer expect to work on during their internship?

As an Azure Support Engineer intern, you can expect to assist with troubleshooting cloud-related technical issues, responding to customer support requests, and collaborating with senior engineers to resolve incidents. Interns often work on documenting solutions, analyzing system logs, and participating in root cause analyses for service outages. You'll also gain exposure to cloud monitoring tools, scripting automation tasks, and learning best practices in customer communication while working alongside a team of experienced engineers. This hands-on experience is invaluable for building a strong foundation in cloud technologies and support processes.

What is the difference between Internship Azure Support Engineer vs Azure Support Engineer?

AspectInternship Azure Support EngineerAzure Support Engineer
QualificationsEnrolled in or recent graduate of relevant IT or cloud courses, basic Azure knowledgeRelevant certifications (e.g., AZ-900, AZ-104), experience in Azure support
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time support role, troubleshooting, customer interaction
Employer & IndustryTech companies, cloud service providers, internships often offered by Microsoft or partnersMicrosoft, cloud service providers, enterprise clients

The Internship Azure Support Engineer is an entry-level, learning-focused role designed for students or recent graduates, while the Azure Support Engineer is a full-time professional position requiring relevant certifications and experience. The internship provides foundational exposure, whereas the support engineer handles complex customer issues in a professional environment.

What cities near Austin, TX are hiring for Internship Azure Support Engineer jobs?

Cities near Austin, TX with the most Internship Azure Support Engineer job openings:

Internship Azure Support Engineer jobs near you
Infographic showing various Internship Azure Support Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $52,402 per year, or $25.2 per hour.

Business Support Engineer - Meta Business Agent

Meta

Austin, TX

$171K/yr

Full-time

Re-posted 21 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we’re looking for an engineer to play a pivotal role supporting Meta’s partners bringing demonstrated experience in distributed systems and API troubleshooting and a focus on improving the end-to-end support experience.As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.
Business Support Engineer - Meta Business Agent Responsibilities:
  • Architect global troubleshooting methodologies and escalation frameworks to enhance Team operational excellence and engineering standards
  • Co-Lead the Team AI-native technical strategy, driving large-scale adoption of AI tools to transform support workflows and value delivery
  • Build, launch, and optimize complex AI architectures using Llama and other LLMs, owning the full lifecycle from prototype to production
  • Develop performance monitoring systems for partner integrations to ensure high availability
  • leverage metrics to proactively identify issues and drive improvements across teams
  • Provide 24/7 oncall support coverage via rotation schedule (including weekends)
  • Partner with Internal and Cross functional leadership to identify systemic support issues and influence roadmaps with data-driven proposals to eliminate root causes
  • Set technical communication standards, authoring reference architectures and representing the team internally and externally
  • Manage complex, cross-functional programs while fostering continuous AI/ML learning across the team
  • Lead zero-to-one initiatives, anticipating future platform and partner needs in advance

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years experience as a software engineer building and shipping production quality code
  • Software engineering or Site Reliability Engineering background
  • Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta Partners
  • Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
  • Knowledge of fine-tuning and optimization of PyTorch models and at least one LLM such as LLaMA, GPT, Claude, Falcon, etc
  • Experience in communicating with technical and business audiences and writing technical documentation
  • Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Preferred Qualifications:
  • Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)
  • Success in cross-cultural engineering environments with international stakeholders
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hands-on experience working with large language models and AI agents
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with data transformation, model selection/training/optimization, and deployment at scale
  • Experience in partner-facing or customer-centric engineering roles
  • Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$171,000/year to $240,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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