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Helm Jobs (NOW HIRING)

The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All ...

BIM Coordination Specialist

Westmont, IL · On-site

$70K - $110K/yr

Helm provides a competitive compensation package that recognizes an individual's experience and qualifications combined with a benefits package to meet your needs. As a valued member of the Helm team ...

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Helm information

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$7

$22

$55

How much do helm jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for helm in the United States is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $10.10 and $19.95 per hour, depending on experience, location, and employer.

What are Helm charts?

Helm charts are packages of pre-configured Kubernetes resources that help you define, install, and manage applications on Kubernetes clusters. They simplify application deployment by allowing users to deploy complex applications using a single command, handling dependencies, configurations, and upgrades easily. Helm charts consist of a set of YAML files that describe the resources needed for the application, making it easier to version, customize, and share applications across environments.

What are some common challenges faced by professionals using Helm in a DevOps environment?

Professionals working with Helm in a DevOps setting often encounter challenges such as managing complex chart dependencies, maintaining consistent configuration across multiple environments, and troubleshooting deployment issues. Ensuring that Helm charts are version-controlled and reusable while keeping up with updates in Kubernetes can also be demanding. Collaboration with development and operations teams is essential, as seamless communication helps address these challenges and ensures successful application deployments.

What are the key skills and qualifications needed to thrive as a Helm (maritime officer), and why are they important?

To thrive as a Helm (Maritime Officer), you need strong navigational skills, knowledge of maritime regulations, and relevant certification such as an STCW license. Proficiency with navigation systems, radar, GPS, and ship steering mechanisms is essential. Excellent situational awareness, decision-making, and communication skills help manage ship operations and coordinate with crew. These abilities are critical for ensuring vessel safety, compliance, and smooth navigation at sea.

What is the difference between Helm vs DevOps Engineer?

AspectHelm
Primary RolePackage manager for Kubernetes, used to deploy and manage applications
CertificationsNone specific, but familiarity with Kubernetes and DevOps tools is common
Work EnvironmentDevOps teams, cloud environments, Kubernetes clusters
Industry UsageDevOps, cloud computing, container orchestration

Helm is a tool used within DevOps teams to simplify Kubernetes application deployment. In contrast, a DevOps Engineer oversees the entire development and operations lifecycle, including automation, CI/CD pipelines, and infrastructure management. While Helm focuses on package management for Kubernetes, DevOps Engineers handle broader responsibilities across the software development lifecycle.

More about Helm jobs

What cities are hiring for Helm jobs?

Cities with the most Helm job openings:

What states have the most Helm jobs?

States with the most job openings for Helm jobs include:

What job categories do people searching Helm jobs look for?

The top searched job categories for Helm jobs are:

Infographic showing various Helm job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $46,342 per year, or $22.3 per hour.

$150K - $250K/yr

Full-time

Medical, Retirement

Re-posted 29 days ago


Job description

You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
  • Characterize neural network quality, failure modes, and edge cases based on research data
  • Maintain awareness of current trends in relevant areas of research and technology
  • Coordinate with researchers and accurately convey status of experiments
  • Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
  • Review experimental results and suggest theoretical or process improvements for future iterations
  • Write technical reports indicating qualitative and quantitative results to external parties

You have:
  • A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
  • Proficiency in Python
  • Proven ability to thrive in fast-paced environment
  • Ability to communicate complex technical concepts to colleagues and a variety of audience
  • Introspection, thoughtfulness, and detail-orientation

The following are a plus, but not required:
  • Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field
  • Experience reading research papers and implementing the techniques therein
  • Computer vision and deep learning experience

The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
  • Competitive health insurance options
  • 401K plan management
  • Free lunch and fully-stocked kitchen in our South Bay office
  • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
  • The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.