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Internship Observability Engineer Jobs (NOW HIRING)

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Observability and anomaly detection * Discrete optimization (with applications in architecture ...

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Observability and anomaly detection * Discrete optimization (with applications in architecture ...

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

We are looking for Software Engineering Interns to help develop our reliability platform, with a ... Observability and anomaly detection * Discrete optimization (with applications in architecture ...

Co-Op, DevOps Engineer

Little Rock, AR

$50.50 - $69.25/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 ...

New

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 ...

New

Co-Op, DevOps Engineer

Seattle, WA

$60 - $82.25/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 ...

New

Help improve monitoring, observability, and telemetry systems through scripting and data analysis ... Experience programming in Python through coursework, personal projects, internships, or open-source ...

Associate Engineer, Site Reliability

$58.25 - $77.50/hr

Build, tune, and maintain dashboards, alerts, and telemetry in observability tools * Partner with ... Internship, co-op, or project experience with SaaS, PaaS, or multi-tenant environments

Junior Dev Ops Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

Contribute to observability efforts (logging, metrics, alerting) * Write and maintain ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

Junior Dev Ops Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

Contribute to observability efforts (logging, metrics, alerting) * Write and maintain ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

Junior Dev Ops Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

Contribute to observability efforts (logging, metrics, alerting) * Write and maintain ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

AI Engineer

Pleasanton, CA · On-site

$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 ...

Help improve monitoring, observability, and telemetry systems through scripting and data analysis ... Experience programming in Python through coursework, personal projects, internships, or open-source ...

Associate Engineer, Site Reliability

$58.25 - $77.50/hr

Build, tune, and maintain dashboards, alerts, and telemetry in observability tools * Partner with ... Internship, co-op, or project experience with SaaS, PaaS, or multi-tenant environments

Showing results 41-60

Internship Observability Engineer information

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$25

$38

How much do internship observability engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship observability engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.

How much do internship observability engineers make?

Internship observability engineers typically earn between $20 and $35 per hour, depending on the company, location, and level of experience. Internships in this field often require knowledge of monitoring tools like Prometheus, Grafana, or Datadog, and may be part-time or full-time during academic breaks.
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States with the most job openings for Internship Observability Engineer jobs include:

Infographic showing various Internship Observability Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Software Engineer, Early Career

Flow Engineering, Inc.

San Francisco, CA • On-site

$90 - $130/hr

Other

Posted 6 days ago


Job description

About Flow

Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.

About the role

*Note that this is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.

Flow is hiring early career software engineers to help build AI-powered capabilities that let teams author, review, and manage requirements more effectively. You will work alongside experienced engineers on agentic systems engineer and agentic domain engineer workflows, bringing AI into the center of how teams reason about their systems.

This is a role for people early in their careers who are ready for an unusual amount of responsibility and autonomy. You will ship code to production in your first weeks, work directly with customers building rockets, satellites, and aircraft, and learn full-stack and AI engineering from people who have done it before.

What you\'ll do

  • Ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.

  • Contribute to agentic workflows that help engineers explore designs, simulate changes, and validate requirements.

  • Work across the stack, from backend services and APIs to the UI, so you own complete features rather than isolated pieces.

  • Help build the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, and observability.

  • Talk to customers, watch how they actually use what you built, and iterate quickly.

  • Learn the domain. Requirements engineering for hardware is deep, unfamiliar to most software engineers, and the reason our product is hard to copy.

About you

  • You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.

  • Strong programming fundamentals and demonstrated ability to build real software, whether through internships, research, open source, or personal projects you can walk us through.

  • Some exposure to modern LLM tooling, whether that is coursework, a side project, or an internship. You do not need production AI experience, but you should be genuinely interested in building with these systems.

  • Clear communication. You can explain a technical decision and say when you are stuck.

  • Comfortable with ambiguity and eager to work in a fast-moving environment where the roadmap changes and experiments are the norm.

Our stack (AI-leaning)

  • TypeScript/Node.js and Python for AI and backend services.

  • Modern LLM APIs and orchestration libraries for building agentic workflows.

  • Postgres and other managed cloud services for data and state.

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