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Entry Level Observability Engineer Jobs in California

Entry Level Observability Engineer information

What does an entry level observability engineer do?

An Entry Level Observability Engineer is responsible for helping monitor, analyze, and improve the performance and reliability of software systems. They typically work with tools that collect metrics, logs, and traces to provide insights into system health and detect issues early. Their duties may include setting up monitoring dashboards, configuring alerts, assisting with incident response, and collaborating with development and operations teams to ensure systems are observable and performant. This role is ideal for those starting a career in DevOps or site reliability engineering, as it provides hands-on experience with industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an entry level observability engineer, and why are they important?

To thrive as an Entry Level Observability Engineer, you need a solid understanding of IT infrastructure, basic programming or scripting skills, and foundational knowledge of monitoring concepts, often supported by a degree in computer science or a related field. Familiarity with observability tools like Prometheus, Grafana, Datadog, or Splunk, as well as basic cloud platform usage, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with technical teams. These skills are essential for maintaining system reliability and quickly identifying and resolving issues in modern IT environments.

What are some common challenges faced by entry level observability engineers, and how can they overcome them?

Entry level observability engineers often encounter challenges such as learning a variety of monitoring tools, understanding complex system architectures, and troubleshooting issues across distributed environments. It can be overwhelming to quickly grasp the different metrics, logs, and traces involved in modern infrastructure. To overcome these challenges, it's helpful to proactively seek mentorship from experienced team members, participate in hands-on projects, and leverage online resources or company training programs. Developing a strong foundation in scripting and automation can also make it easier to handle recurring monitoring tasks and respond effectively to incidents.

What is the difference between Entry Level Observability Engineer vs Junior DevOps Engineer?

AspectEntry Level Observability EngineerJunior DevOps Engineer
Required CredentialsBachelor's in CS or related field, basic knowledge of monitoring toolsBachelor's in CS or related field, basic scripting skills
Work EnvironmentFocus on monitoring, logging, and observability tools within IT/tech teamsInvolved in deployment, automation, and infrastructure management
Employer & Industry UsageTech companies, SaaS providers, cloud servicesTech firms, startups, cloud service providers
Common Search & Comparison IntentUnderstanding entry-level roles in observabilityExploring roles related to DevOps and infrastructure

Entry Level Observability Engineers primarily focus on monitoring, logging, and ensuring system reliability, while Junior DevOps Engineers handle deployment, automation, and infrastructure tasks. Both roles often require similar educational backgrounds but differ in daily responsibilities and focus areas within tech environments.

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

The most popular types of Observability Engineer jobs in California are:

Infographic showing various Entry Level Observability Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Founding Engineer (San Francisco)

TraceRoot.AI (YC S25)

San Francisco, CA • On-site

$120K - $220K/yr

Full-time

Re-posted 4 days ago


Job description

TraceRoot.AI (YC S25) provided pay range

This range is provided by TraceRoot.AI (YC S25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $220,000.00/yr

As the first engineer at TraceRoot, you’ll work side‑by‑side with the founders to build the product and shape our engineering culture from the ground up. You’ll wear many hats, touching everything from AI systems and user‑facing features to backend infrastructure and open‑source SDKs. We move fast, debate hard, and execute even harder, shipping new features weekly and iterating live with users. You’ll work in person with the founders at least 3 days a week, white boarding, coding, and shipping together. If you love building fast, solving hard problems head‑on, and seeing your code impact real users within days, you’ll fit right in.

What You’ll Do
  • Talk to users often to deeply understand how to improve TraceRoot’s AI and UX (you can expect to spend 10‑20% of your time on support)
  • Ship full‑stack features and build the foundational building blocks that users will use to build their apps seamlessly
  • Maintain our open‑source projects to help grow and engage our developer community
  • Improve our AI agents’ performance, reliability, and edge‑case handling to continuously enhance AI output quality (for both function + design)
  • Build robust infrastructure for our end‑to‑end platform to power millions of telemetry events
Requirements
  • Strong full‑stack experience with React, TypeScript, and Node.js: you’ve shipped production features end‑to‑end
  • Strong sense of ownership: you’re autonomous and own features from start to finish
  • Strong communicator: you write clearly, think rigorously, and can collaborate well within small teams
  • Scrappy and execution‑driven: you move fast, make pragmatic decisions, and care about results over process, bias for action is in your DNA.
  • Relentless builder mindset: you thrive under pressure, love solving hard problems, and make things happen with limited resources
Preferred Experience
  • Multi‑agent systems: you’ve designed or shipped multi‑agent systems, AI‑powered coding tools, LLM orchestration frameworks, or automated code workflows
  • Observability tooling: you’ve built or contributed to systems like tracing pipelines, logging, search infra, metrics platforms, or other developer‑facing observability tools
  • Startup experience: you’ve worked at early‑stage startups or have been a founder yourself
Seniority level
  • Entry level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
  • Software Development

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