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Observability Internship Jobs in Texas (NOW HIRING)

Copart, Inc.

DevOps Engineering Intern

Dallas, TX · On-site

Help improve observability through dashboards, logging, and alerting systems. Collaboration * Work ... Personal, academic, or internship projects involving Kubernetes or cloud deployments. * Experience ...

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

... tooling, observability, and deployment automation * Collaborate with engineering teams on ... Internship, co-op, or professional engineering experience within a large-scale technology-driven ...

SpaceX

Sr. Software Engineer (Starlink)

Bastrop, TX · On-site

$121K - $160K/yr

... and observability of our systems. * Work closely with internal partners to drive successful ... OR 7+ years of professional experience building full-stack software in lieu of a degree (internship ...

SpaceX

Software Engineer (Starlink)

Bastrop, TX · On-site

... and observability of our systems. * Work closely with internal partners to drive successful ... OR 3+ years of professional experience building full-stack software in lieu of a degree (internship ...

Mia

Software Engineer (AI/ML)

Austin, TX · On-site

$110 - $170/hr

... internships). * Strong engineering fundamentals: you write production code, instrument it, and own what you ship * Comfort with observability tooling (OpenTelemetry or similar) and making decisions ...

Mia Labs, Inc.

Software Engineer (AI/ML)

Austin, TX · On-site

$120 - $190/hr

... internships). * Strong engineering fundamentals: you write production code, instrument it, and own what you ship * Comfort with observability tooling (OpenTelemetry or similar) and making decisions ...

Apptronik

Robotics Test Engineer

Austin, TX · On-site

Experience with observability tools (Grafana, Loki, Prometheus) as a consumer of dashboards and ... Strong internship and project experience may substitute for a portion of this requirement.

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Observability Internship information

What are the key skills and qualifications needed to thrive as an observability intern, and why are they important?

To thrive as an Observability Intern, you generally need foundational knowledge in computer science, familiarity with monitoring concepts, and experience with programming or scripting languages. Exposure to observability tools like Prometheus, Grafana, ELK stack, or cloud monitoring platforms, along with coursework or certifications in DevOps or cloud technologies, is often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help interns collaborate with engineering teams and interpret complex data. These skills enable interns to contribute to system reliability by identifying, diagnosing, and resolving performance issues efficiently.

What is an observability internship?

An Observability Internship is a temporary, often entry-level position where students or recent graduates learn about and assist with monitoring, measuring, and analyzing the performance and reliability of software systems. Interns work with tools that provide visibility into applications, infrastructure, and services to help teams detect issues and improve system health. The role typically involves tasks such as setting up dashboards, analyzing logs and metrics, and helping to implement best practices for observability. This internship is valuable for those interested in DevOps, Site Reliability Engineering, or software development roles.

What is the difference between Observability Internship vs Monitoring Internship?

AspectObservability InternshipMonitoring Internship
FocusBroad system insights, including logs, metrics, tracesReal-time system health and alerting
SkillsData analysis, debugging, understanding of distributed systemsAlert configuration, basic system metrics
Work EnvironmentDevOps, SRE teams, cloud environmentsOperations, system administration teams
CertificationsKnowledge of monitoring tools (Prometheus, Grafana), scriptingBasic monitoring tools, scripting skills

While both internships involve system health, an Observability Internship covers a broader set of tools and concepts like logs, traces, and metrics for comprehensive system understanding. Monitoring internships focus more on real-time alerts and system uptime. Understanding these differences helps candidates choose the right role aligned with their skills and career goals.

What types of projects and tools can I expect to work with during an observability internship?

As an Observability Intern, you'll often contribute to projects focused on monitoring, logging, and tracing the performance of software systems. You may work with popular tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or OpenTelemetry to collect and visualize system metrics. Interns typically collaborate closely with site reliability engineers and software developers to identify bottlenecks, improve alerting, and ensure system reliability. This role provides hands-on experience with real-world infrastructure and fosters valuable problem-solving skills in a collaborative, technical environment.
What are the most commonly searched types of Observability jobs in Texas? The most popular types of Observability jobs in Texas are:
What are popular job titles related to Observability Internship jobs in Texas? For Observability Internship jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Observability Internship jobs in Texas look for? The top searched job categories for Observability Internship jobs in Texas are:
What cities in Texas are hiring for Observability Internship jobs? Cities in Texas with the most Observability Internship job openings:
Observability Internship jobs near you
Infographic showing various Observability Internship job openings in Texas as of August 2026, with employment types broken down into 10% Internship, 68% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

DevOps Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 3 days ago

Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 18 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Position Overview
We are seeking a motivated DevOps Intern to support the deployment, automation, and operation of modern cloud-native and AI-enabled applications. This role is ideal for candidates with foundational experience in Linux, cloud platforms, containerization, and software development who are eager to grow their skills in DevOps, MLOps, Kubernetes, and AI infrastructure.
The successful candidate will work closely with Software Engineers, Data Scientists, DevOps Engineers, and Product teams to help build, deploy, monitor, and maintain applications and infrastructure while learning industry best practices in automation, reliability, and operational excellence.
Key Responsibilities
DevOps & Platform Support
  • Assist in deploying and maintaining applications in cloud and on-premises environments.
  • Support containerized application deployments using Docker and Kubernetes.
  • Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform or Ansible.
  • Help develop and maintain CI/CD pipelines for automated testing and deployments.
  • Assist with environment provisioning, configuration management, and automation tasks.
  • Participate in platform monitoring, logging, and troubleshooting activities.

AI / MLOps Support
  • Assist with deployment and monitoring of machine learning and AI applications.
  • Support AI workflows including model deployment and inference services.
  • Collaborate with Data Science and Engineering teams to operationalize ML models.
  • Learn and apply MLOps best practices including model versioning and monitoring.
  • Support AI infrastructure and resource optimization activities.

Application Deployment & Operations
  • Deploy and support Python and Java-based applications.
  • Assist in maintaining development, testing, and production environments.
  • Support workflow automation tools such as n8n and related platforms.
  • Troubleshoot application and infrastructure issues under guidance from senior engineers.
  • Create and maintain deployment documentation and operational procedures.

Monitoring & Reliability
  • Monitor application health, performance, and availability.
  • Respond to operational alerts and assist in incident resolution.
  • Participate in root cause analysis and continuous improvement initiatives.
  • Help improve observability through dashboards, logging, and alerting systems.

Collaboration
  • Work closely with engineering, product, and data teams on project delivery.
  • Participate in technical discussions, planning sessions, and sprint activities.
  • Follow organizational security, reliability, and DevOps standards.
  • Document processes, procedures, and technical solutions.

Preferred Qualifications
  • Currently pursuing or recently completed a degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • Understanding of Linux administration and command-line tools.
  • Familiarity with Docker and containerized applications.
  • Exposure to Kubernetes concepts and orchestration.
  • Experience with Python, Java, Bash, or similar programming languages.
  • Familiarity with Git and version control workflows.
  • Basic understanding of CI/CD concepts and automation tools.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to machine learning, AI applications, or MLOps concepts is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Nice-to-Have Skills
  • Personal, academic, or internship projects involving Kubernetes or cloud deployments.
  • Experience with Terraform, Ansible, Jenkins, GitHub Actions, or GitLab CI/CD.
  • Familiarity with monitoring tools such as Prometheus and Grafana.
  • Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow.
  • Experience building automation scripts using Python.

#LS-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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