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Entry Level Docker Jobs in Redmond, WA (NOW HIRING)

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Entry Level Docker information

See Redmond, WA salary details

$16

$29

$88

How much do entry level docker jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for entry level docker in Redmond, WA is $29.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $25.87 per hour, depending on experience, location, and employer.

What is an entry level Docker?

Entry level Docker jobs are positions designed for individuals who are new to using Docker, a popular platform for developing, shipping, and running applications in containers. These roles typically focus on basic containerization tasks such as creating, managing, and deploying Docker containers, helping teams improve application portability and scalability. Common job titles include Junior DevOps Engineer, Cloud Support Associate, or Software Engineer Intern, where foundational knowledge of Docker is required but advanced expertise is not expected. Employers may look for candidates with some hands-on experience, either through personal projects or coursework, and a willingness to learn more about containerization technologies.

What are the key skills and qualifications needed to thrive as an entry level Docker?

To thrive as an Entry Level Docker, you need a basic understanding of containerization concepts, Linux fundamentals, and experience with application deployment. Familiarity with Docker CLI, Docker Compose, and version control systems like Git is commonly expected, and completing the Docker Certified Associate certification can be beneficial. Strong problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills and qualities are crucial for ensuring efficient application deployment, troubleshooting, and collaboration within development teams.

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

Entry-level professionals often encounter challenges such as understanding Docker's architecture, managing container networking, and troubleshooting containerized applications. A key to overcoming these hurdles is developing a solid grasp of basic Docker concepts, such as images, containers, volumes, and networking. Collaborating with more experienced team members and utilizing official documentation or community forums can help address issues quickly. Regular practice through hands-on projects and experimenting in a safe, test environment further accelerates learning and confidence.

What is the difference between Entry Level Docker vs Entry Level Kubernetes?

AspectEntry Level DockerEntry Level Kubernetes
Required CertificationsDocker Certified Associate (DCA) or basic containerization knowledgeCertified Kubernetes Administrator (CKA) or similar container orchestration knowledge
Work EnvironmentContainer development, deployment, and management in development or small-scale environmentsManaging container clusters, orchestration, and scaling in larger or production environments
Industry UsageDevOps, software development, cloud servicesDevOps, cloud infrastructure, large-scale deployments

Entry Level Docker focuses on containerizing applications and managing containers, while Entry Level Kubernetes involves orchestrating and managing container clusters. Both roles require foundational knowledge of containerization, but Kubernetes roles typically demand a deeper understanding of orchestration and cluster management. They are often used together in DevOps environments to streamline application deployment and scaling.

What are popular job titles related to Entry Level Docker jobs in Redmond, WA?

For Entry Level Docker jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Docker jobs in Redmond, WA look for?

The top searched job categories for Entry Level Docker jobs in Redmond, WA are:

Entry Level Docker jobs near you
Infographic showing various Entry Level Docker job openings in Redmond, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $62,263 per year, or $29.9 per hour.

Junior Software Engineer, AI-Native (SEATTLE ONLY)

Seattle, WA • On-site

Pipe17
IT Services • 11 - 50 employees
Learn more about Pipe17external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Junior Software Engineer, AI-Native (SEATTLE ONLY)

On-site, Seattle

We are not sponsoring any work authorizations at this time.

About Pipe17

Pipe17 is building the AI operating system for commerce. Our platform connects brands, retailers, marketplaces, warehouses, ERPs, and shipping providers to automate order operations at scale, processing millions of commerce events a day so customers eliminate manual work, cut complexity, and move faster. We build software that doesn't just help people do the work, it does the work.

The Role

We're hiring an AI-native Junior Software Engineer to build software with AI across two fronts: internal tools that make our team faster, and customer-facing product. This is not a pure internal-automation role. You'll automate the messy work that slows engineering and the business down, and you'll also ship product features and agents that customers use. We want the balance of both.

You already build with AI. You reach for coding agents and LLMs the way other engineers reach for a framework, and you have a track record of shipping real things with them, not just experimenting. AI does the heavy lifting on the platform layer; your job is to point it at the right problems and ship.

Interview note: part of the process is a live working session. You'll screen share and build with the AI tool of your choice, then we'll program together. We can provide an Anthropic API key for the interview (Claude Code, Cursor, or others) if you'd rather not use your own.

What You'll Do

  • Build software with AI across two fronts: internal tools that make the team faster, and customer-facing product features and agents.
  • Design, build, and maintain automations, lightweight APIs, CLI tools, and web utilities in JavaScript / TypeScript.
  • Build and integrate agents and AI-powered features into real workflows and the product, using Claude, Claude Code, and other LLM APIs.
  • Implement and manage MCP / API integrations between internal systems and external services (GitHub, Jira, HubSpot, NetSuite, or internal APIs).
  • Partner with product and platform engineering to turn messy problems into shipped software.
  • Troubleshoot integration and system issues across environments; write clear docs and onboard teammates to what you build.
  • Take part in design reviews, stand-ups, and sprint planning; contribute to testing for tools, APIs, and product.

What You'll Learn

Hands-on experience with:

  • Node.js / TypeScript for automation, APIs, product features, and developer tooling
  • REST / GraphQL APIs for integration and data sync
  • Building with AI: Claude, Claude Code, Codex and other LLM-based systems and agents
  • Infrastructure scripting and configuration (AWS, Terraform, Docker)
  • Authentication and authorization flows (OAuth2, API keys, JWT)
  • CI/CD automation (GitHub Actions or similar)
  • Cloud deployments (AWS Lambda, ECS, or similar containerized services)
  • Observability and monitoring (CloudWatch, Datadog, Grafana)
  • Secure, SOC 2-aligned development practices

What We're Looking For

Required

  • 1-2 years out of college in software engineering, with a strong CS background.
  • A demonstrated track record of building software with AI: agents, tools, or product you've actually shipped, not just tried.
  • Think deeply about customer challenges and problems
  • Fluency in JavaScript / TypeScript.
  • Experience building tools or automations and integrating APIs (REST, GraphQL, or webhooks).
  • Daily fluency with AI developer tools (Claude Code, Cursor, GitHub Copilot, or similar).
  • Familiarity with Git, CI/CD, and a cloud platform (AWS or similar).
  • Strong problem-solving, communication, and ownership. You ask why, challenge assumptions, and love to automate messy problems.

Nice-to-Have

  • SQL / NoSQL databases
  • Containerization (Docker) or serverless platforms
  • Python or Bash scripting
  • Interest in e-commerce or logistics tech

Why It Matters

Pipe17 powers the flow of orders and shipments for some of the fastest-growing brands in e-commerce. You'll build the tools that make our engineers faster and the product features customers feel, and you'll see how AI-assisted development scales in a real production SaaS environment.

What We Offer

  • Competitive entry-level salary and benefits
  • Mentorship from senior engineers and architects on an AI-native team
  • Real production ownership, with work that ships weekly
  • A clear path to mid-level roles in software, AI + integrations, or platform engineering

How We Work

We value clarity, curiosity, and ownership. You'll join a small, high-agency team where your work ships weekly and lands in both our internal systems and the product our customers use. We build with AI first, and we expect you to do the same.

Pipe17 is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

Compensation (US FTE)

  • Competitive salary
  • Great healthcare + dental + vision coverage
  • Retirement plan
  • Pick your own equipment. We'll set you up with whatever Apple laptop + monitor combo you want plus any software you need.
  • Unlimited vacation policy. Plus we require you to take at least 2 weeks off each year. We see most employees take 4 weeks off per year. This isn't a vague policy where unlimited vacation means no vacation.
 

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