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Internship Kernel Trading Technologies Jobs (NOW HIRING)

IMC

Trading Engineer - Execution

Chicago, IL · On-site

... kernel bypass technology * Proficiency in Python and Bash * Demonstrated curiosity and hands-on ... Direct impact on live trading-your work matters immediately * Broad technical growth across ...

The Energy Authority Inc

Trading Intern, West

Bellevue, WA · On-site

$18.70 - $25.30/hr

**This internship requires the intern sit in our Bellevue office alongside our Traders. Remote option ... TEA provides public power utilities with access to advanced resources and technology systems so ...

Simplex Trading

Infrastructure Engineer

Chicago, IL · On-site

$125K - $200K/yr

People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to ... Thorough understanding of Linux (kernel, modules, filesystems) with special emphasis on the network ...

IMC

Trading Engineer - Execution

Chicago, IL · On-site

$175K - $225K/yr

... kernel bypass technology * Proficiency in Python and Bash * Demonstrated curiosity and hands-on ... Direct impact on live trading-your work matters immediately * Broad technical growth across ...

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How much do internship kernel trading technologies jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship kernel trading technologies in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What are Internship Kernel Trading Technologies roles?

Internship Kernel Trading Technologies roles typically involve assisting in the development and optimization of software for high-frequency or algorithmic trading platforms. Interns may work on tasks such as coding trading algorithms, enhancing system performance, or analyzing market data under the supervision of experienced engineers and traders. These internships offer hands-on experience with financial technologies and exposure to both software engineering and trading strategies. Candidates often have strong programming skills and an interest in finance or quantitative analysis.

What is the difference between Internship Kernel Trading Technologies vs Trading Analyst Intern?

AspectInternship Kernel Trading TechnologiesTrading Analyst Intern
Required CredentialsBasic knowledge of trading platforms, programming skillsRelevant finance or economics coursework, some programming
Work EnvironmentFast-paced trading firms, tech-driven environmentFinancial institutions, trading floors, or tech companies
Employer & Industry UsageUsed in trading technology firms and hedge fundsCommon in investment banks and trading firms

Internship Kernel Trading Technologies typically focuses on technical skills related to trading systems and programming, often within tech-driven trading firms. Trading Analyst Internships are more finance-oriented, emphasizing market analysis and trading strategies. Both roles serve as entry points into trading industries but differ in technical focus and work environment.

What types of projects and tasks can an intern expect to work on at Kernel Trading Technologies?

As an intern at Kernel Trading Technologies, you can expect to work on a variety of hands-on projects that may include developing trading algorithms, optimizing code for low-latency performance, and analyzing market data. Interns typically collaborate closely with experienced quantitative analysts, software engineers, and traders, gaining exposure to the full trading technology stack. This role offers a dynamic environment where you'll be tasked with problem-solving and contributing to live trading systems, providing valuable real-world experience and learning opportunities.

What are the key skills and qualifications needed to thrive as an Internship Kernel Trading Technologies, and why are they important?

To thrive as an intern at Kernel Trading Technologies, a strong foundation in quantitative analysis, programming (especially in Python or C++), and a background in finance, mathematics, or computer science is essential. Familiarity with trading platforms, financial modeling tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication help interns excel in a team-oriented and fast-paced environment. These skills are crucial for supporting trading strategies, ensuring technical accuracy, and contributing to the firm's competitive edge.
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Internship Kernel Trading Technologies jobs near you
Infographic showing various Internship Kernel Trading Technologies job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Site Reliability Architect (Systems & Kernel)

Elliot Partnership

New York, NY • On-site

$62.25 - $82.75/hr

Full-time

Posted 22 days ago

Job description

  • Site Reliability Architect (Systems & Kernel)
  • New York, NY (Hybrid, 3 days in office)
  • Highly competitive compensation package

Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex problems in any industry. Their teams are composed of passionate problem-solvers who operate in a dynamic, large-scale IT environment. We are seeking a visionary engineer to lead the architectural evolution of the firm's massive, on-premise private cloud, ensuring their complex trading and research platforms operate with maximum performance, scalability, and resilience.
The Role
We are seeking a deeply experienced Systems Engineer to act as a Tech Lead for key infrastructure initiatives. This is a crucial, hands-on role for a hybrid systems and software engineer who thrives on solving complex distributed systems problems at scale.
You will be the key technical leader responsible for architecting and building the robust, automated platforms that underpin the firm's critical operations. Your primary mandate will be to lead the transition of the firm's dev teams from direct-access bare metal to a secure, managed, and automated container platform. You will act as a force multiplier for the engineering organization by leading high-impact projects, mentoring other engineers, and setting the standard for technical excellence in reliability and performance.
Responsibilities:
  • Architect the Private Cloud: Lead the design and execution of high-impact projects for a distributed fleet of 10,000+ compute servers. You will drive decisions on hardware specifications, OS provisioning, and file system tuning to maximize performance on bare metal.
  • Build the Future Platform: Lead the greenfield design and implementation of a Kubernetes-based container platform on bare metal. You will replace manual workflows with a structured, declarative system that empowers researchers while ensuring stability.
  • Eliminate Operational Toil: Architect, build, and maintain mission-critical tools and automation in Python or Go. You will move beyond scripting to build resilient APIs, CLI tools, and automation frameworks that eliminate manual operational work at its source.
  • Solve Deep Technical Challenges: Serve as a senior escalation point for complex Linux systems issues, diagnosing and resolving deep technical challenges related to kernel-level performance, hardware/OS compatibility, and reliable configuration distribution across multiple data centers.
  • Define Observability Strategy: Drive the architecture for a modern observability data pipeline-deciding what to store, where to store it, and how to use it for automated remediation to ensure production environments remain performant.
  • Technical Leadership: Mentor and guide other engineers, championing best practices in software development, infrastructure management, and site reliability engineering.

What you'll bring:
  • 7+ years of experience in a senior site reliability, infrastructure, or software engineering role with a track record of success in complex, large-scale environments.
  • Deep, hands-on expertise with the Linux operating system. You can explain system calls, file descriptors, memory management, and Disk I/O paths at a granular level to debug performance issues.
  • Expert-level proficiency in Python or Go, with a proven track record of engineering libraries, tools, or API services (not just scripting).
  • Experience designing and building Kubernetes clusters on bare metal (not just using EKS/GKE). You understand the deep architectural trade-offs of CNI networking, CSI storage, and control plane design.
  • Demonstrated experience leading technical projects, driving architectural decisions, and mentoring other engineers through complex migrations.

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