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Docker Jobs in California (NOW HIRING)

Docker

Staff ML Engineer

Palo Alto, CA · On-site

$205K - $330K/yr

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest ...

Docker

ML Engineer

Palo Alto, CA · On-site

$138K - $225K/yr

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest ...

Jobsbridge

Open Stack Developement

San Jose, CA · On-site

San Jose, CA Duration: 6+ Months Client Notes: we are looking for a developer / Architect who did the system level architecture and development in OPENSTACK and DOCKER platforms Responsibilities:

Apex Informatics

Automation Engineer

Santa Clara, CA · On-site

Containerization (Docker, Kubernetes) Job Requirements: * 5+ Years of Jenkins DSL/Groovy Experience * 8+ Years Selenium Experiences, Prefer in Java * 5+ years of Rest API automation experiences * 8+ ...

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How much do docker jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for docker in California is $59.74, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $68.56 per hour, depending on experience, location, and employer.

What are some common challenges dockers face in their day-to-day work?

Dockers frequently encounter physically demanding tasks and must work in various weather conditions, which can be challenging. Efficient coordination is required to handle heavy or hazardous cargo safely and to ensure that shipments are tracked and documented correctly. Working as part of a larger team, dockers must also adapt to changing schedules and priorities, especially when cargo ships arrive outside of regular hours. Being mindful of safety protocols and remaining alert on busy docks helps prevent accidents and promote a productive work environment. Despite these challenges, the role offers valuable experience for career advancement in logistics, port operations, and supervisory positions.

What is the average salary of a Docker employee?

A Docker engineer or related role typically earns an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and specific responsibilities. Skills in containerization, orchestration, and cloud platforms can influence compensation levels.

What are the key skills and qualifications needed to thrive in the Docker position, and why are they important?

To thrive as a Docker (dockworker or longshoreman), you need physical strength, stamina, and an understanding of cargo handling and safety protocols, often gained through on-the-job training or related experience. Familiarity with warehouse equipment such as forklifts, pallet jacks, and computerized inventory systems is beneficial, along with any certifications required for heavy machinery operation. Attention to detail, teamwork, and effective communication are valuable soft skills in this role. These abilities are essential to ensure safe, efficient loading and unloading of goods, prevent workplace accidents, and maintain smooth port or warehouse operations.

What is a Docker profession?

A Docker professional is a person skilled in using Docker, a platform for developing, shipping, and running applications inside containers. They typically work in IT or software development environments, managing containerized applications, and often require knowledge of container orchestration tools like Kubernetes and familiarity with Linux systems. Certifications such as Docker Certified Associate can enhance job prospects.

Why are people leaving Docker?

People in Docker-related roles may leave due to shifts in industry preferences toward alternative containerization tools like Podman or Kubernetes, or because of organizational changes, job market competition, or evolving skill requirements. Job seekers should stay updated on container technologies and certifications to remain competitive in this field.

What is a Docker job?

A Docker job typically refers to a role where a professional works with Docker to create, manage, and deploy containerized applications. This may involve writing Dockerfiles, configuring container orchestration tools like Kubernetes, and optimizing container performance. Docker professionals often collaborate with developers and DevOps teams to ensure seamless application deployment and scalability.

What is a Docker job?

A Docker job involves working with containerization technology to develop, deploy, and manage applications using Docker. Professionals in this role typically have skills in Linux, scripting, and cloud environments, and may hold certifications like Docker Certified Associate. The job often requires collaboration with development and operations teams to ensure efficient application deployment.
What are the most commonly searched types of Docker jobs in California? The most popular types of Docker jobs in California are:
What are popular job titles related to Docker jobs in California? For Docker jobs in California, the most frequently searched job titles are:
What job categories do people searching Docker jobs in California look for? The top searched job categories for Docker jobs in California are:
What cities in California are hiring for Docker jobs? Cities in California with the most Docker job openings:
Docker jobs near you
Infographic showing various Docker job openings in California as of July 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $124,260 per year, or $59.7 per hour.
Staff ML Engineer

Staff ML Engineer

Docker

Palo Alto, CA • On-site

$205K - $330K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Docker's long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
About the role
We're hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: you'll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Responsibilities
  • Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
  • Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
  • Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
  • Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
  • Help recruit, mentor, and shape the team as it grows.
  • This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate

Qualifications
  • 5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
  • 8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • You've built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
  • You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they can't, and when to combine the two.
  • Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
  • Familiarity with the agent / MCP ecosystem.
  • You're energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
  • Collaborative and low-ego. You work well across teams, write clearly, and bring others along.

Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
  • Freedom & flexibility; fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup; we want you comfortable while you work
  • 16 weeks of paid Parental leave (after 6 months of employment)
  • Technology stipend equivalent to $100 USD net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity; we are a growing start-up and want all employees to have a share in the success of the company
  • Docker Swag
  • Medical benefits, retirement and holidays vary by country
  • Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE

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