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Internship Observability Engineer Jobs in California

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

... observability and feedback loops to monitor model performance, implement human-in-the-loop ... Academic projects, internships, or part-time work during degree programs will not be considered as ...

Northwood

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

... observability, networking -- and identify one or more areas to go deeper in over time. • Execute ... prior internships, or homelab work. We're looking for genuine curiosity and a track record of ...

Northwood

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

... observability, networking -- and identify one or more areas to go deeper in over time. • Execute ... prior internships, or homelab work. We're looking for genuine curiosity and a track record of ...

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

$160K - $180K/yr

Implement observability and feedback loops to monitor model performance, implement human-in-the ... Academic projects, internships, or part-time work during degree programs will not be considered as ...

Avathon

AI Engineer

Pleasanton, CA

$116K - $159K/yr

Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud ... Experience working on applied AI projects in academic, internship, or startup settings * Interest ...

Biointellisense

DevOps Engineer

Redwood City, CA · On-site

$140K - $170K/yr

The team focuses on CI/CD pipeline development, infrastructure-as-code, and observability to ensure ... internships or academic projects. * Strong written and oral communication skills. * Strong ...

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Internship Observability Engineer information

What are the key skills and qualifications needed to thrive as an Internship Observability Engineer, and why are they important?

To thrive as an Internship Observability Engineer, you need a solid understanding of computer science fundamentals, basic scripting or programming skills, and familiarity with system architectures, typically supported by coursework or a relevant degree in progress. Exposure to observability tools such as Prometheus, Grafana, ELK Stack, or Datadog, and knowledge of cloud platforms are often required. Analytical thinking, attention to detail, and effective communication help interns investigate issues and collaborate with engineering teams. These skills ensure accurate system monitoring, faster incident response, and a strong foundation for future growth in infrastructure engineering.

What does an Internship Observability Engineer do?

An Internship Observability Engineer assists in monitoring, analyzing, and improving the visibility of software systems. They work with tools that collect logs, metrics, and traces to help teams understand system performance and identify issues. Interns in this role may set up dashboards, configure alerts, and collaborate with development and operations teams to ensure systems are running smoothly. The position is ideal for those interested in DevOps, site reliability engineering, and learning about scalable infrastructure.

What types of projects and technologies do Internship Observability Engineers typically work on during their internship?

As an Internship Observability Engineer, you can expect to work on projects involving the implementation and enhancement of monitoring, logging, and tracing systems across various applications and infrastructure. Interns often assist with configuring tools like Prometheus, Grafana, or Datadog, helping to ensure system reliability and visibility. You may also analyze system metrics, collaborate with software engineers to troubleshoot issues, and contribute to dashboards that provide real-time insights. This hands-on experience provides a strong foundation in both development and operations, preparing you for future roles in site reliability engineering or cloud infrastructure.

What is the difference between Internship Observability Engineer vs Internship Site Reliability Engineer?

AspectInternship Observability EngineerInternship Site Reliability Engineer
FocusMonitoring, logging, and tracing systems to improve software observabilityEnsuring system reliability, scalability, and performance of services
SkillsMonitoring tools, scripting, data analysisSystem architecture, automation, incident response
Work EnvironmentDevOps teams, cloud platforms, monitoring toolsOperations teams, cloud infrastructure, automation tools
CertificationsBasic knowledge of cloud and monitoring toolsBasic understanding of SRE principles and cloud platforms

Both roles are entry-level internships in the tech industry, focusing on different aspects of system management. The Internship Observability Engineer emphasizes monitoring and diagnostics, while the Internship Site Reliability Engineer concentrates on maintaining system reliability and performance. They often collaborate but have distinct skill sets and responsibilities.

What are the most commonly searched types of Observability Engineer jobs in California? The most popular types of Observability Engineer jobs in California are:
What are popular job titles related to Internship Observability Engineer jobs in California? For Internship Observability Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Observability Engineer jobs in California look for? The top searched job categories for Internship Observability Engineer jobs in California are:
What cities in California are hiring for Internship Observability Engineer jobs? Cities in California with the most Internship Observability Engineer job openings:
Internship Observability Engineer jobs near you
Infographic showing various Internship Observability Engineer job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Software Engineer, Network Observability (Starlink)

Software Engineer, Network Observability (Starlink)

SpaceX

Hawthorne, CA • On-site

Full-time

Posted 23 hours ago

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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