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Entry Level Kernel Trading Technologies Jobs (NOW HIRING)

Jobgether

This role offers the opportunity to work on critical Linux security technologies that help ... Document technical decisions, approaches, and trade-offs for internal knowledge sharing.

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Entry Level Kernel Trading Technologies information

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$24K

$104.9K

$189K

How much do entry level kernel trading technologies jobs pay per year?

As of Aug 1, 2026, the average yearly pay for entry level kernel trading technologies in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Kernel Trading Technologies vs Entry Level Algorithmic Trading Analyst?

AspectEntry Level Kernel Trading TechnologiesEntry Level Algorithmic Trading Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of trading systemsBachelor's in Finance, Economics, or Computer Science; understanding of trading algorithms
Work EnvironmentFinancial firms, trading floors, tech companiesFinancial institutions, hedge funds, trading firms
Employer & Industry UsagePrimarily in trading technology teams within financeInvolved in developing and analyzing trading algorithms

Entry Level Kernel Trading Technologies focuses on developing and maintaining trading systems using technical skills, while Entry Level Algorithmic Trading Analysts analyze and optimize trading algorithms. Both roles require a strong technical background and are common entry points in financial technology and trading industries.

More about Entry Level Kernel Trading Technologies jobs
What are the most commonly searched types of Kernel Trading Technologies jobs? The most popular types of Kernel Trading Technologies jobs are:
What job categories do people searching Entry Level Kernel Trading Technologies jobs look for? The top searched job categories for Entry Level Kernel Trading Technologies jobs are:
Entry Level Kernel Trading Technologies jobs near you
Infographic showing various Entry Level Kernel Trading Technologies job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Kernel Developer - KernelCare ELS team

Jobgether

On-site, Remote

Full-time

Medical, PTO

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Kernel Developer - KernelCare ELS team based in Netherlands.

This role offers the opportunity to work on critical Linux security technologies that help organizations maintain secure and reliable systems.
You will contribute to extending the lifecycle of enterprise Linux environments by developing, adapting, and validating kernel patches.
The position combines deep systems programming expertise with practical problem-solving across Linux distributions and kernel versions.
You will work with experienced engineers on challenging security and infrastructure projects with real-world impact.
This is an opportunity for a developer who enjoys debugging complex systems, improving automation, and maintaining high engineering standards.
You will contribute to innovative workflows using modern development tools while keeping full technical ownership of every solution.

Accountabilities

As a Kernel Developer, you will contribute to the development, maintenance, and validation of Linux kernel patches that improve security, stability, and reliability for enterprise systems. You will work closely with the kernel team to investigate upstream changes, resolve technical challenges, and enhance development workflows.

  • Investigate upstream Linux kernel security fixes, bug fixes, and related changes to identify dependencies and implementation requirements.
  • Backport Linux kernel patches to supported older RPM- and Debian-based distributions.
  • Resolve compatibility issues and conflicts between upstream kernel versions and target enterprise distributions.
  • Build and rebuild Linux kernel source and binary packages in reproducible development environments.
  • Validate patched kernels through focused testing, build verification, regression analysis, and quality checks.
  • Improve patch preparation, build, and validation workflows using automation tools and programming languages such as Python, Go, or Shell.
  • Use AI-assisted and agentic development tools responsibly while reviewing and validating generated code, analysis, and documentation.
  • Document technical decisions, approaches, and trade-offs for internal knowledge sharing.
  • Participate in code reviews and collaborate with kernel engineering teams to maintain high-quality solutions.
Requirements

The ideal candidate is an experienced Linux systems developer with strong kernel development knowledge and a passion for solving complex infrastructure challenges. You should have hands-on experience with low-level programming, debugging, patch management, and building reliable software systems.

  • Strong proficiency in C programming and Linux debugging techniques.
  • Practical experience with Linux kernel development, patching, or backporting.
  • Experience using Git, GNU build tools, and standard Linux development utilities.
  • Experience building Linux kernels or Linux distribution packages.
  • Knowledge of automation and scripting using Python, Go, Shell, or similar technologies.
  • Experience using AI-assisted or agentic development tools with a strong approach to validating generated outputs.
  • Ability to communicate technical decisions clearly and explain engineering trade-offs.
  • Strong ownership mindset, attention to detail, and ability to work independently.
  • Intermediate or higher English proficiency, both written and spoken.

Nice to have:

  • Experience with RPM/SRPM or Debian kernel packaging.
  • Background in security patching, CVE analysis, or extended lifecycle software maintenance.
  • Familiarity with Docker, QEMU, Jenkins, or continuous integration systems.
  • Experience designing kernel tests, analyzing core dumps, or investigating system regressions.
Benefits
  • Fully remote work environment with flexible working hours and the ability to work from anywhere worldwide.
  • Opportunity to work on challenging Linux security and open-source infrastructure projects.
  • Professional development opportunities and continuous learning support.
  • Paid vacation allowance, national holidays, and unlimited sick leave.
  • Compensation support for private medical insurance.
  • Co-working space and gym/sports reimbursement.
  • Education and learning budget.
  • Opportunity to receive recognition and rewards for innovative ideas with patent potential.
  • Collaborative environment with experienced engineers working on impactful technologies.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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