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Observability Internship Jobs (NOW HIRING)

TIFIN

AI Engineering Intern

Boulder, CO · On-site

$17 - $25/hr

ROLE OVERVIEW Join our 2026 summer internship program! Build real-world AI systems and agent ... validation, observability, fault tolerance, and automated evaluation - solving reliability ...

Berkley

co-op

Wilmington, DE · On-site

$55.25 - $73.50/hr

Responsibilities This internship within the DevOps/Site Reliability Engineering (SRE) team provides ... observability, and reliability engineering Gain exposure to enterprisescale systems and interact ...

SilverLogic

AI Engineer Internship

Boca Raton, FL

Contribute to observability and monitoring efforts, including error tracking, performance checks ... Learning Outcomes During this internship, you will: * Gain hands-on experience building and ...

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Contribute to observability and monitoring efforts, including error tracking, performance checks ... Learning Outcomes During this internship, you will: * Gain hands-on experience building and ...

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Contribute to observability and monitoring efforts, including error tracking, performance checks ... Learning Outcomes During this internship, you will: * Gain hands-on experience building and ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

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How much do observability internship jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for observability internship in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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.
More about Observability Internship jobs
What cities are hiring for Observability Internship jobs? Cities with the most Observability Internship job openings:
What are the most commonly searched types of Observability jobs? The most popular types of Observability jobs are:
What states have the most Observability Internship jobs? States with the most job openings for Observability Internship jobs include:
What job categories do people searching Observability Internship jobs look for? The top searched job categories for Observability Internship jobs are:
Observability Internship jobs near you
Infographic showing various Observability Internship job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.
Software Engineer, Network Observability (Starlink)

Software Engineer, Network Observability (Starlink)

SpaceX

Hawthorne, CA • On-site

Full-time

Posted yesterday

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies

Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars and is seeking a Software Engineer for the Starlink Network Monitoring team. The role involves designing and building software that powers observability for the Starlink network, focusing on real-time alerting and performance metrics.
Responsibilities:
• Design and implement scalable, fault-tolerant data ingestion pipelines to reliably consume raw, high-volume telemetry streams from Starlink satellites, user terminals, gateways, and ground infrastructure in real time
• Develop frontend visualizations, interactive dashboards, and UI components that present processed data in clear, real-time views for monitoring teams and stakeholders
• Drive automation to reduce manual effort in network monitoring operations and improve anomaly detection accuracy
• Maintain high software standards and software engineering best practices across the full stack
• Deep dive into business problems, find efficient solutions and apply first principles thinking
Qualifications:
Required:
• Bachelors degree in STEM & 1+ year of industry and/or internship experience; OR 3+ years of professional software development experience in lieu of a STEM degree.
• Ability to work extended hours or weekends as needed for mission critical deadlines
• Ability to work on an 'on-call' basis on a weeklong rotational schedule
Preferred:
• Experience building or operating large-scale observability, telemetry, or real-time analytics systems.
• Strong backend experience with Python, Go, Java, or similar languages.
• Frontend experience with React, Angular, or a comparable JavaScript framework.
• Experience with relational databases (PostgreSQL, CockroachDB, etc.) and/or distributed data systems.
• Experience with Docker and Kubernetes in production environments.
• Familiarity with streaming data platforms or high-volume data pipelines
• Demonstrated ability to own projects end-to-end and deliver reliable, high-quality software
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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