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Observability Internship Jobs in California (NOW HIRING)

LiveRamp

Co-Op, DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Implement and harden operational tooling for observability (metrics, logs, traces), incident ...

LiveRamp

Co-Op, DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85.25/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Implement and harden operational tooling for observability (metrics, logs, traces), incident ...

Fortinet

AI Intern

Sunnyvale, CA

$40 - $60/hr

Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn ... Familiarity with or interest in learning observability tools, cloud platforms or automation ...

Fortinet

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Throughout the internship, you will engage in meaningful operational projects, attend lunch-and ... Familiarity with or interest in learning observability tools, cloud platforms or automation ...

Zoomcar

AI Intern

Sunnyvale, CA · On-site

$60 - $80/hr

Throughout the internship, you will engage in meaningful operational projects, attend ... Familiarity with or interest in learning observability tools, cloud platforms or automation ...

Fortinet

$40 - $60/hr

Throughout the internship, you will engage in meaningful operational projects, attend lunch-and ... Familiarity with or interest in learning observability tools, cloud platforms or automation ...

Fortinet, Inc.

AI Intern

Sunnyvale, CA

$40 - $60/hr

Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn ... Familiarity with or interest in learning observability tools, cloud platforms or automation ...

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Observability Internship information

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 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 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 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 are the most commonly searched types of Observability jobs in California?

The most popular types of Observability jobs in California are:

What are popular job titles related to Observability Internship jobs in California?

For Observability Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Observability Internship jobs in California look for?

The top searched job categories for Observability Internship jobs in California are:

What cities in California are hiring for Observability Internship jobs?

Cities in California with the most Observability Internship job openings:

Observability Internship jobs near you
Infographic showing various Observability Internship job openings in California as of September 2026, with employment types broken down into 10% Internship, 1% As Needed, 53% Full Time, 35% Part Time, and 1% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution.

ML & Cloud Infrastructure Engineer Intern

South San Francisco, CA • On-site

Gritt
See more jobs at Grittexternal

$20.25 - $26.25/hr

Full-time, Internship

Re-posted 19 days ago

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: ML & Cloud Infrastructure Engineer Intern
Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on
  • Build and operate training, data, or evaluation infrastructure used daily by the wider SW team.
  • Work with GPU clusters, orchestration, and data pipelines at scale.
  • Instrument, monitor, and harden the pipeline you ship.
  • Test your work on real robots at the office.
  • Opportunity to publish (for PhD interns).
  • Attend Tier-1 industry conferences.

An example project could be anything from an auto-curation pipeline that mines fleet logs for rare events (gusts, occlusions, near-misses) to feed training, to a regression harness that replays field scenarios against each new model release.
What we look for
  • Pursuing BS/MS/PhD in CS or related field.
  • Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD.
  • Evidence of building infrastructure or data systems.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to do an internship in the United States for either 3 months or 6 months.
Nice to have
  • Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.

Apply