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Internship Observability Engineer Jobs in California

Clera

Founding Software Engineer

Los Angeles, CA · On-site

$165K - $270K/yr

Build and maintain reliability systems: retries, circuit breakers, failover, observability, and ... PM internship, PM role, or product-focused engineering work. * Experience with voice AI systems ...

New

Amazon

Software Development Engineer, Alexa Ads

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... observability, and proactive incident response. Ensure systems scale reliably as demand grows ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

Software Development Engineer, Alexa Ads

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... observability, and proactive incident response. Ensure systems scale reliably as demand grows ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Amazon

SDE-II, Amazon OpenSearch Service

Santa Clara, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... observability, and generative AI workloads at massive scale. Hundreds of thousands of customers ... As a Software Development Engineer on the OpenSearch team, you will help define and build this ...

Amazon

SDE-II, Amazon OpenSearch Service

Santa Clara, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... observability, and generative AI workloads at massive scale. Hundreds of thousands of customers ... As a Software Development Engineer on the OpenSearch team, you will help define and build this ...

Amazon

Embedded Software Development Engineer, Ring Team

Sunnyvale, CA · On-site

$154K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an Embedded Software Development Engineer to join Ring's embedded engineering team ... observability and reduce time-to-resolution BASIC QUALIFICATIONS - 3+ years of non-internship ...

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All JobsObservability Engineer JobsInternship Observability Engineer JobsInternship Observability Engineer Jobs in California

Internship Observability Engineer information

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 are the key skills and qualifications needed to thrive as an internship observability engineer?

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 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 August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Applied AI Engineer, Advertising Agents (New Grad)

NewsBreak

Mountain View, CA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit ;br>
About the Role
Are you a recent graduate excited to apply LLMs and Agent technology to real advertising products from day one? Join our advertising team to help build an AI-driven intelligent account hosting and optimization platform. You'll work alongside senior engineers to develop AI advertising expert systems (AI Agents) that diagnose accounts and safely auto-tune delivery in a closed optimization loop.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your contributions will help maximize advertisers' willingness to spend and platform revenue.
Responsibilities
  • Contribute to the In-house AI Account Manager System: Support the design and implementation of components of the "AI Account Manager," including automated hosting, optimization scheduling, and monitoring across concurrently running advertiser accounts.
  • Help Build Intelligent Diagnosis and Strategy Recommendation Models: Work with performance data and delivery history to help identify account health signals and delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping); assist in using LLMs to generate actionable, auditable account-level tuning strategies.
  • Support Reliability and Measurable Quality: Help build and maintain observability, dry-run safeguards, and offline/online evaluation pipelines that keep optimization quality measurable and catch regressions before they reach live spend.
  • Collaborate and Learn: Work closely with senior engineers, the platform-side ad delivery algorithm team, and product managers, gaining exposure to how AI account management capabilities translate into commercial impact.

Minimum Qualifications
  • Education Background: Bachelor's/Master's degree (recently completed or completing within the next 6 months) in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Work Experience: No professional work experience required; relevant internships, research, coursework, or personal projects involving LLMs, agents, or ML are a plus. Exposure to building or experimenting with agentic systems (e.g., through coursework, hackathons, internships, or personal projects). Solid software-engineering fundamentals: ability to write clean, testable code; familiarity with asynchronoconcurrent programming and typed/data-modeled code.
  • Core Technical Stack: Foundational understanding of LLMs, RAG, tool-use, and agent orchestration concepts (including MCP-style tool ecosystems), gained through coursework, projects, or self-study. Some hands-on experience with structured/schema-validated LLM outputs and modern model APIs (e.g., through class projects or internships). Familiarity with REST/API integration; exposure to deployment tools such as Docker or Kubernetes is a plus. Solid grounding in machine learning and AI fundamentals. Strong analytical skills and eagerness to learn complex problem-solving in a production environment.

Preferred Qualifications
  • Internship or research experience involving large language models, agent-based systems, or recommendation/ads systems.
  • Exposure to advertising or recommendation system concepts and metrics (CPA, ROAS, CVR, CTR, conversions).
  • Personal or academic projects demonstrating initiative in building AI agents or automation tools.

What We Offer
  • A Launchpad for Applied AI Careers: Learn to apply cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem, with mentorship from senior engineers.
  • Direct Commercial Impact: See your contributions reflected in real advertiser growth and the platform's revenue flywheel.
  • Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and the opportunity to learn alongside world-class advertising, AI, and infrastructure engineers.
Benefits
We offer a competitive benefits package:
  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$135,000-$155,000 USD
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