Software Engineer Intern – Summer 2027

Jobtailor; California (MO); On-site; USD 25,000 - 39,000; Full time

Job summary

Jobtailor in the United States is offering a full‑time internship for 2027, focusing on building high‑performance, modular software across ML research, trading, and data processing domains. Candidates will contribute to real‑time systems while collaborating with researchers, traders, and engineers.

Ideal interns are graduating in 2028, have hands‑on coding experience, and are comfortable with Linux, Git, and cloud infrastructure.

Qualifications

• Currently a student set to graduate in 2028 and eligible for a full‑time internship in 2027.
• Hands‑on experience writing code and having built something significant.
• Ability to write modular, maintainable, well‑organized code.
• Mastery of Computer Science fundamentals.
• Comfort using Linux, git, and mainstream databases.
• Familiarity with cloud infrastructure.
• Exceptional ability in at least one area.
• Eagerness to work in diverse teams.
• Availability to work a full‑time internship during summer, fall, or winter of 2027.
• Legally authorized to work in the United States.

Responsibilities

• Design complex systems
• Take on substantial responsibility quickly and own assigned work
• Build high‑performance systems including real‑time trading systems, large‑scale distributed data processing, and ML research infrastructure
• Work closely with machine learning researchers, trading staff, and engineers
• Gain exposure to machine learning, institutional trading mechanics, and market execution dynamics

Skills

Coding Experience

Computer Science Fundamentals

Linux Proficiency

Cloud Infrastructure Familiarity

Team Collaboration

Education

Expected to graduate in 2028

Tools

Linux

Git

Mainstream Databases

Job description

• Design complex systems
• Take on substantial responsibility quickly and own assigned work
• Build high-performance systems including real-time trading systems, large-scale distributed data processing, and research infrastructure for machine learning models
• Work closely with machine learning researchers, trading staff, and engineers
• Gain exposure to machine learning, institutional trading mechanics, and market execution dynamics

Requirements

• Expected to graduate in 2028
• Hands‑on experience writing code and having built something significant
• Ability to write modular, maintainable, well‑organized, thoughtfully structured code
• Mastery of Computer Science fundamentals
• Comfort using Linux, git, and mainstream databases
• Familiarity with cloud infrastructure
• Exceptional ability in at least one area
• Eagerness to work in diverse teams
• Availability to work a full‑time internship during summer, fall, or winter of 2027
• Legally authorized to work in the United States

Core Competencies

Demonstrates strong coding skills with a focus on modular and maintainable code, alongside a solid understanding of Computer Science fundamentals. Capable of contributing to high‑performance systems and collaborating effectively within diverse teams.

Highest-signal resume keywords

• Coding Experience
• Computer Science Fundamentals
• Linux Proficiency
• Cloud Infrastructure Familiarity
• Team Collaboration

Hard Skills

• Modular Code Writing
• Maintainable Code Development
• Distributed Data Processing
• Machine Learning Infrastructure
• Real‑Time Trading Systems

Soft Skills

• Eagerness to Collaborate
• Responsibility Ownership

Industry Keywords

• Machine Learning
• Institutional Trading Mechanics
• Market Execution Dynamics

Tools & Technologies

• Linux
• Git
• Mainstream Databases