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Entry Level Observability Engineer Jobs in Seattle, WA

Pipe17

Junior Tools Engineer

Seattle, WA

Observability and monitoring (CloudWatch, Datadog, Grafana). * Secure coding and SOC 2-aligned ... Competitive entry-level salary and benefits. * Mentorship from senior engineers and architects.

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Entry Level Observability Engineer information

See Seattle, WA salary details

$34.1K

$78.9K

$134.3K

How much do entry level observability engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level observability engineer in Seattle, WA is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $89,300.00 per year, depending on experience, location, and employer.

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 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 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 Seattle, WA? The most popular types of Observability Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Observability Engineer jobs in Seattle, WA? For Entry Level Observability Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Observability Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Observability Engineer jobs in Seattle, WA are:
Entry Level Observability Engineer jobs near you
Junior Tools Engineer

Junior Tools Engineer

Pipe17

Seattle, WA

Other

Posted 15 days ago

Job description

Job Title: Junior Tools Engineer

Location: On Site Seattle
Department: Engineering

About Pipe17

Pipe17 connects commerce businesses' selling channels, fulfillment providers, and back-office systems into one automated, reliable flow. We're solving the "post-order chaos" that happens when e-commerce platforms, ERPs, and 3PLs don't talk to each other.

Our AI-native cloud platform orchestrates orders, inventory, and shipments between systems like Shopify, Amazon, NetSuite, and ShipStation - powered by modern APIs, event-driven microservices, and intuitive web dashboards.

We're growing fast, and we're looking for a Junior System Engineer who is passionate about building tools, integrating APIs, and leveraging modern AI tooling to improve developer and business productivity. 

We're looking for someone who's AI-curious and eager to learn - if you're excited by new tools and want a place to grow your skills while shipping real impact, you'll thrive here.

Interview Note: You'll be screen sharing, using AI tool of your choice, and then you'll be programming together as a part of the process!

We can provide you an Anthropic API key to use during the interview if you don't want to use your own. This can be used for Claude Code, Cursor, and other tools.

What You'll Do

As a Junior System Engineer, you will:

  • Design, build, and maintain internal tools and automation scripts using JavaScript / TypeScript.
  • Develop lightweight APIs, CLI tools, and web utilities to enhance developer productivity and system reliability.
  • Implement and manage API integrations between internal systems and external services (e.g., GitHub, Jira, HubSpot, NetSuite, or internal APIs).
  • Experiment with and build AI-powered developer tools and automations using ChatGPT, Claude Code, and other LLM APIs.
  • Collaborate with infrastructure and product engineering teams to streamline developer workflows, deployments, and monitoring.
  • Troubleshoot system and integration issues, ensuring smooth operation across environments.
  • Write clear documentation and onboard teammates to the tools you create.
  • Participate in design reviews, daily stand-ups, and sprint planning with cross-functional teams.
  • Contribute to unit and integration testing for tools and APIs.
What You'll Learn

Hands-on experience with:

  • Node.js / TypeScript for automation, APIs, and internal developer tooling.
  • REST / GraphQL APIs for integrations and data synchronization.
  • AI tooling and automation using ChatGPT, Claude, and other LLM-based systems.
  • Infrastructure scripting and configuration (AWS, Terraform, Docker).
  • Authentication and authorization flows (OAuth2, API keys, JWT).
  • CI/CD automation with GitHub Actions or similar pipelines.
  • Cloud deployments (AWS Lambda, ECS, or similar containerized services).
  • Observability and monitoring (CloudWatch, Datadog, Grafana).
  • Secure coding and SOC 2-aligned development practices.
RequirementsMinimum Qualifications
  • 0-2 years of experience in software or system engineering.
  • Fluency in JavaScript / TypeScript.
  • Experience building tools or automation scripts for personal or team use.
  • Experience integrating APIs (REST, GraphQL, or webhooks).
  • Familiarity with AI developer tools such as ChatGPT, Claude Code, GitHub Copilot, or Replit Ghostwriter.
  • Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS or similar).
  • Curiosity about automation, integration, and AI-driven developer productivity.
  • Strong problem-solving and communication skills.
Nice-to-Haves
  • Experience with SQL / NoSQL databases.
  • Familiarity with containerization (Docker) or serverless platforms.
  • Exposure to scripting in Python or Bash.
  • Understanding of cloud cost optimization and monitoring tools.
  • Interest in e-commerce or logistics tech.
Why It Matters

Pipe17 powers the flow of customer orders and shipments for some of the fastest-growing and best-known brands in e-commerce. As part of the engineering team, you'll build the tools and systems that make our developers faster, our platform more resilient, and our customers happier.

You'll learn how scalable SaaS infrastructure and integration systems operate in production, and how AI-assisted automation can dramatically improve developer and business productivity.

What We Offer
  • Competitive entry-level salary and benefits.
  • Mentorship from senior engineers and architects.
  • Exposure to real production SaaS environments.
  • Flexible, remote-friendly culture.
  • Clear path to mid-level roles in Systems, DevOps, or AI + Integrations Engineering.
How We Work

We value clarity, curiosity, and ownership. You'll join a small, agile engineering team where your work ships weekly and directly impacts our platform and internal operations. At Pipe17, we encourage engineers who ask why, challenge assumptions, and love to automate solutions to messy problems.

Apply