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Observability Internship Jobs in Texas (NOW HIRING)

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... observability, basic cost and drift checks). * Experience building or working with data/workflow ...

... 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 ...

Sr. Software Engineer (Starlink)

Bastrop, TX

$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 ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... observability, basic cost and drift checks). * Experience building or working with data/workflow ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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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 cities in Texas are hiring for Observability Internship jobs? Cities in Texas with the most Observability Internship job openings:
Infographic showing various Observability Internship job openings in Texas as of July 2026, with employment types broken down into 2% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Senior Backend/Integration Engineer

New York Technology Partners

Irving, TX • On-site

$117K - $155K/yr

Other

Posted yesterday

New


Job description

Seeking a Senior Backend / Integration Engineer to build platform integrations across NVIDIA, simulation systems, and digital twin environments. Primary focus is backend microservices and API integration (Python preferred).
Full-stack experience (React/Angular) is a plus but not required.
Strong experience in backend microservices development
Strong experience building APIs (REST / gRPC)
Experience with cloud-native development (AWS/Azure/Google Cloud Platform)
Experience with distributed systems and integrations
Experience with event-driven / async processing patterns
Strong debugging and problem-solving skills

Reason/motivation for request:
Addition

Why this Role?
Join a team building the next generation of autonomy, simulation, and digital twin capabilities at Caterpillar. In this role, you will help define how NVIDIA, Physical AI, and simulation platforms integrate with enterprise-scale services, enabling mission execution, visualization, and future autonomous solutions. You'll work on complex engineering challenges, influence platform architecture, and deliver technology that helps shape the future of Caterpillar's digital ecosystem.

Typical Task Breakdown:
Build backend microservice APIs (Python preferred) for simulation, NVIDIA, and Physical AI integrations
Design REST, gRPC, and event-driven APIs for asset exchange and simulation workflows
Develop integration adapters using AI coding Platforms & Spec Driven Development between cloud services and simulation / digital twin platforms
Support simulation and digital twin asset exchange (OpenUSD/USD or similar formats)
Implement asynchronous workflows (job orchestration, retries, idempotency, observability)
Manage large artifact storage and lifecycle (metadata, versioning, retention, traceability)
Define API, event, and data contracts for simulation and digital twin integrations
Collaborate with NVIDIA, vendor partners, and internal platform teams on integration design and delivery
Develop and maintain contract testing, integration testing, and automation frameworks
Contribute to cloud-native architecture, CI/CD, monitoring, and operational readiness

Interaction with Team
Work closely with Product Owner, Scrum Master, Architects, and Platform Engineering teams
Collaborate with Scrum Teams responsible for Mission Automation, Execution & Control, Simulation Results, and Geospatial/Safety Services
Partner with NVIDIA and external vendor teams to define integration patterns and technical solutions
Participate in architecture reviews, sprint planning, backlog refinement, design discussions, and technical demos
Support cross-team API, event contract, and integration alignment activities

Team Structure
1 Product Owner
1 Scrum Master
1 Solution Architect / Principal Engineer
1 Technical Lead
4 6 Senior Backend / Integration Engineers
1 NVIDIA / Digital Twin Integration Engineer
1 Cloud Platform Engineer
2 QA Automation

Work environment:
Office

Education & Experience Required:
Years of experience: 5+
Degree requirement: Bachelor s degree in Computer Science, Software Engineering, Robotics, or related field
Do you accept internships as job experience: No

Top 3 Skills:
Backend Microservices & API Development (Python preferred)
Cloud-Native Integration & Distributed Systems
Event-Driven Architecture, Observability & Integration Testing

Additional Technical Skills Required:
Backend microservices
API integration
Cloud-native services
Distributed systems
Event-driven architecture
Observability & integration testing
AI coding platform

Desired Technical Skills:
NVIDIA Omniverse, Isaac Sim, or equivalent simulation platforms
OpenUSD/USD experience
Digital Twin platforms and workflows
Robotics, Autonomy, or Physical AI integration
Object storage and artifact management

Soft Skills Required:
Strong problem-solving and analytical skills
Ability to work effectively in agile scrum teams
Strong verbal and written communication skills
Collaboration across distributed and cross-functional teams
Ability to work in ambiguous and evolving environments
Ownership mindset with accountability for delivery
Strong technical documentation skills

Desired Soft Skills:
Experience mentoring junior engineers
Technical leadership and design review experience
Stakeholder management and vendor collaboration
Continuous improvement mindset
Experience working with global teams