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Intern Distributed Systems Engineer Jobs in Missouri

Software Engineer

Kansas City, MO · On-site

$160K - $185K/yr

LRS Consulting is on the hunt for a Software Engineer responsible for building platform infrastructure, developer tools, and distributed systems. Responsibilities * Design and build core platform ...

LRS Consulting is on the hunt for a Software Engineer responsible for building platform infrastructure, developer tools, and distributed systems. Responsibilities Design and build core platform ...

Senior Java Backend Developer

O Fallon, MO · On-site

$112K - $146K/yr

Backend Developer Requirement/Must Have: * 6+ years of experience in backend development using Java ... Extensive experience in microservices architecture and distributed systems. * Experience working ...

Java Developer

Saint Louis, MO · On-site

$49.50 - $64.25/hr

Experience with distributed systems design and architecture Strong experience with CI/CD automation and tools Experience with Kafka/NATS brokers (This is nice to have) Requirements Looking for ...

$44 - $58.50/hr

This is a hands-on engineering role where you will directly influence system architecture ... Opportunities to work on globally distributed, high-impact infrastructure systems How Jobgether ...

... power distribution systems. • Develop protective device coordination studies by analyzing time-current characteristic curves and recommending settings for breakers, relays, and fuses to achieve ...

Java Developer with Scala

O Fallon, MO · On-site

$47.75 - $61.75/hr

Java Developer O'Fallon, MO (Onsite from day 1) Interview Process: 3 rounds will be Zoom Video ... Experience in software development design and implementation of large-scale distributed systems and ...

Our partner is looking for a Sr. IT Systems Engineer based in Netherlands. Join a remote-first ... globally distributed workforce. This position offers the opportunity to drive automation ...

... distributed system design to solve complex performance and scalability challenges Software ... internal developer platforms using Backstage or similar frameworks, leveraging plugin-based ...

$94K - $124K/yr

As a Senior Software Engineer, you will play a key role in building and scaling advanced advisory ... Architect and optimize distributed systems with a strong focus on performance, reliability ...

Serve as a senior escalation point for complex production issues across distributed systems and ... Mentor engineers and elevate team capability in software design, testing, debugging, and ...

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Intern Distributed Systems Engineer information

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or distributed systems engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options or bonuses. These roles often require expertise in large-scale systems, cloud platforms, and high-demand technical skills.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or distributed systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. These roles often require expertise in cloud platforms, distributed architectures, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an Intern Distributed Systems Engineer, and why are they important?

To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.

Do CS interns get paid?

Computer Science interns, including those in distributed systems engineering roles, are often paid internships, with compensation varying by company, location, and internship duration. Many organizations offer stipends or hourly wages to attract talented students and provide practical experience in the field.

What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?

AspectIntern Distributed Systems EngineerIntern Software Engineer
Required CredentialsTypically pursuing a degree in Computer Science or related field, familiarity with distributed systems conceptsSimilar educational background, focus on general software development skills
Work EnvironmentFocus on designing, implementing, and testing distributed systems and networked applicationsDeveloping various software applications, often in different domains
Employer & Industry UsageUsed in tech companies working on cloud, big data, or scalable systemsCommon across many industries including tech, finance, and startups
Search & Comparison IntentPeople comparing internship roles in distributed systems and software development

Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.

What types of projects and tasks can an Intern Distributed Systems Engineer expect to work on, and how does this support their learning and growth?

As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.

What does an Intern Distributed Systems Engineer do?

An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.

How much do distributed systems engineers make?

Distributed systems engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and programming languages may offer higher compensation.
What are popular job titles related to Intern Distributed Systems Engineer jobs in Missouri? For Intern Distributed Systems Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Intern Distributed Systems Engineer jobs in Missouri look for? The top searched job categories for Intern Distributed Systems Engineer jobs in Missouri are:

Software Engineer

Levi, Ray and Shoup

Kansas City, MO • On-site

$160K - $185K/yr

Other

Posted 27 days ago


Job description

Job Description
LRS Consulting is on the hunt for a Software Engineer responsible for building platform infrastructure, developer tools, and distributed systems.
Responsibilities
  • Design and build core platform components including provider abstractions, structured output validation, streaming systems, and token management.
  • Own safety and compliance systems such as guardrails, PII detection and redaction, audit logging, and privacy focused observability.
  • Build evaluation tooling for LLM output quality, including datasets, scoring methods, CI integration, and regression detection.
  • Develop provider adapters and SDK architecture that shield teams from frequent LLM provider and SDK changes.
  • Build and maintain prompt lifecycle tools including versioning, reviews, and deployment workflows.
  • Design infrastructure for long running asynchronous agents using AWS services.
  • Work closely with internal teams to understand needs, support onboarding, and provide technical guidance.
  • Influence architecture and engineering standards across the organization.
  • Create documentation and reference implementations to help teams adopt the platform.
  • Promote strong engineering practices including testing, type safety, and observability.
Required Skills
  • 8 years of software engineering experience with significant time in platform infrastructure, developer tools, SDKs, or distributed systems.
  • Production experience with LLM or AI systems and familiarity with challenges such as token limits, provider outages, and model updates.
  • Strong TypeScript skills and experience designing clean, intuitive APIs.
  • Knowledge of AI safety, PII handling, auditing, and responsible use practices.
  • Experience with event driven systems and asynchronous processing.
  • Understanding of observability for distributed systems including metrics, tracing, and alerting.
  • Strong communication and technical writing skills.
  • Proven technical leadership experience.
  • Experience with cloud platforms, ideally AWS.
Preferred Skills
  • Experience building SDKs or platforms used by multiple teams.
  • Experience with prompt engineering or LLM evaluation tools.
  • Familiarity with TypeScript backend frameworks such as NestJS or Prisma.
  • Experience with streaming systems for real time AI features.
  • Background in multi tenant platform design.
  • Experience with ports and adapters or similar architectural patterns.
  • Contributions to AI or LLM open source projects.

The base range for this direct hire position is $160,000 - $185,000 per year, depending on experience.
Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.
In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.