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Remote Software Engineer Student Jobs in Missouri

Relativity

Software Engineer

Kansas City, MO · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

BAI

Advanced Software Engineer

Saint Louis, MO · On-site +1

$85K - $115K/yr

Advanced Software Engineer Chicago, IL Reports To: Director, Product Development & Operations BAI ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

Maritz

Software Engineer

Fenton, MO · Remote

We're looking for a collaborative and solutions-oriented Software Engineer to support the design ... This team primarily operates in a remote environment, with occasional in-office presence as needed.

The Timberline Group

SOFTWARE ENGINEER

Saint Louis, MO · Remote

Work with software lead to understand requirements and translate into technical specification for ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

The Timberline Group

SR. SOFTWARE ENGINEER

Saint Louis, MO · Remote

$119.10K - $157K/yr

Leadership * Coach less senior Software Engineers in processes, techniques and problem solving ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

Walmart

Senior, Software Engineer

Noel, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at Walmart, you will lead the delivery of scalable software solutions by managing feature implementation ...

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Remote Software Engineer Student information

What are the key skills and qualifications needed to thrive as a Remote Software Engineer Student, and why are they important?

To thrive as a Remote Software Engineer Student, you need a solid understanding of programming fundamentals, algorithms, and basic computer science, often supported by coursework or self-directed learning. Familiarity with version control systems like Git, code collaboration platforms such as GitHub, and integrated development environments (IDEs) is typically required. Strong self-motivation, effective time management, and clear communication skills are essential for succeeding in a remote learning and collaborative environment. These abilities allow you to learn efficiently, contribute to projects, and navigate the unique challenges of remote work and study.

What are some common challenges faced by remote software engineer students, and how can they be overcome?

Remote software engineer students may encounter challenges such as staying motivated without in-person supervision, managing distractions at home, and effectively communicating with mentors or team members online. To overcome these obstacles, it's helpful to establish a dedicated workspace, set a structured daily routine, and utilize collaboration tools like Slack or Zoom for regular check-ins. Proactively reaching out for feedback and participating in virtual study groups can also boost engagement and learning.

What is a Remote Software Engineer Student?

A Remote Software Engineer Student is someone who is currently studying software engineering and participates in learning or internship opportunities from a remote location, rather than in-person. These students often take online courses, complete virtual internships, or contribute to remote team projects to gain practical experience in software development. Working remotely allows them to build technical and collaboration skills using digital tools, while balancing academic commitments. This role helps prepare students for future careers in software engineering by providing real-world experience in a flexible setting.

What is the difference between Remote Software Engineer Student vs Remote Software Engineer Intern?

AspectRemote Software Engineer StudentRemote Software Engineer Intern
CredentialsEnrolled in a computer science or related programTypically a student or recent graduate, may have some coursework completed
Work EnvironmentPart-time or project-based, often flexible schedulingPaid or unpaid, structured internship program
Employer UsageUniversities, training programs, or startupsTech companies, startups, or corporate internship programs
Search/Comparison IntentUnderstanding entry-level or educational rolesLooking for internship opportunities to gain experience

Remote Software Engineer Students are typically enrolled in educational programs and seek part-time or project-based roles to gain experience. Interns are usually in structured internship programs, often paid, aimed at providing practical industry experience. Both roles serve as entry points for aspiring software engineers but differ mainly in their formal structure and expectations.

What are the most commonly searched types of Software Engineer Student jobs in Missouri? The most popular types of Software Engineer Student jobs in Missouri are:
What are popular job titles related to Remote Software Engineer Student jobs in Missouri? For Remote Software Engineer Student jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineer Student jobs in Missouri look for? The top searched job categories for Remote Software Engineer Student jobs in Missouri are:
What cities in Missouri are hiring for Remote Software Engineer Student jobs? Cities in Missouri with the most Remote Software Engineer Student job openings:
Remote Software Engineer Student jobs near you
Software Engineer

Software Engineer

Relativity

Kansas City, MO • On-site, Remote

Other

Medical, Retirement

Posted 8 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

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