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Intern Distributed Systems Engineer Jobs in Missouri

Jobgether

$40.75 - $55.75/hr

... s Engineer based in Netherlands. This is a high-impact opportunity for an experienced ... You will be responsible for defining the platform roadmap, optimizing complex distributed systems ...

Jobgether

As a Senior Support Engineer, you will operate at the core of complex, production-grade cloud ... Support customers running containerized applications, distributed systems, AI/ML pipelines, and ...

MasterCard

Lead Software Engineer

O Fallon, MO · On-site

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

MasterCard

Lead Software Engineer

O Fallon, MO · On-site

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 ...

Walmart

Principal, Software Engineer

Cassville, MO · On-site

$110K - $220K/yr

This role involves architecting cloud-native, distributed systems with integrated AI/ML solutions ... The engineer will influence architectural decisions, promote innovation, and ensure alignment with ...

Walmart

Principal, Software Engineer

Anderson, MO · On-site

$110K - $220K/yr

This role involves architecting cloud-native, distributed systems with integrated AI/ML solutions ... The engineer will influence architectural decisions, promote innovation, and ensure alignment with ...

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All JobsIntern Distributed Systems Engineer JobsIntern Distributed Systems Engineer Jobs in Missouri

Intern Distributed Systems Engineer information

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.

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.
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:
Intern Distributed Systems Engineer jobs near you

Lead DevOps Engineer

Jobgether

Remote

$40.75 - $55.75/hr

Full-time

Posted 12 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 Lead DevOps Engineer based in Netherlands.

This is a high-impact opportunity for an experienced infrastructure leader to take ownership of a large-scale, high-traffic scraping platform operating at massive global scale. In this role, you will shape and drive the evolution of cloud infrastructure that processes billions of requests, ensuring reliability, security, and performance under extreme load. You will be responsible for defining the platform roadmap, optimizing complex distributed systems, and leading major infrastructure consolidation initiatives. Working in a fast-moving, remote-first engineering environment, you will collaborate closely with developers while also influencing architecture, cost efficiency, and operational excellence. The role combines hands-on technical depth with strategic leadership, especially in areas such as Kubernetes, observability, and infrastructure automation. It is ideal for engineers who thrive in ownership-driven environments and enjoy solving complex scalability and cost challenges.

Accountabilities
  • Own and drive the end-to-end platform roadmap, identifying critical improvements, infrastructure gaps, and long-term architectural priorities.
  • Lead the consolidation of multiple infrastructure stacks into a unified, scalable, and reliable platform with minimal operational disruption.
  • Design and optimize cloud infrastructure for performance, scalability, security, and cost efficiency across large-scale distributed systems.
  • Implement robust monitoring, alerting, logging, and disaster recovery strategies to ensure system reliability and resilience.
  • Take ownership of infrastructure cost optimization, including high-impact areas such as proxy and compute expenses, while maintaining performance and security.
  • Strengthen platform security posture by proactively addressing vulnerabilities and defending against evolving threats and attack vectors.
  • Collaborate closely with engineering teams, contributing to system design decisions and supporting development workflows, including AI-related initiatives.
  • Mentor engineers and help elevate overall platform engineering maturity, including tooling, processes, and best practices.
Requirements
  • 5+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles at scale.
  • Strong hands-on expertise with Kubernetes, container orchestration, and large-scale distributed systems.
  • Proven experience with Infrastructure as Code tools such as Terraform and building CI/CD pipelines.
  • Strong knowledge of cloud and hosting environments, ideally including DigitalOcean, Hetzner, or similar infrastructure providers.
  • Experience with databases and data systems such as PostgreSQL, Redis, ClickHouse, and MongoDB is a plus.
  • Expertise in monitoring and observability tools (e.g., Datadog, New Relic, Prometheus, ELK stack) with a strong sense of operational excellence.
  • Demonstrated experience optimizing infrastructure costs and improving system performance in production environments.
  • Strong communication skills with the ability to influence technical stakeholders in a fully remote, async-first setup.
  • Proven hands-on use of AI tools to deliver measurable engineering or operational improvements.
  • Experience mentoring or leading other engineers in a technical capacity.
Benefits
  • Fully remote position with maximum flexibility in working location and hours.
  • High autonomy and ownership in a trust-based engineering culture.
  • Opportunity to shape and lead infrastructure at massive scale with real business impact.
  • Minimal bureaucracy and a strong focus on efficiency and engineering excellence.
  • Collaborative, friendly, and globally distributed engineering team.
  • Access to a wider SaaS engineering network for knowledge sharing and growth.
  • Flexible time off to support rest and work-life balance.
  • Transparent, market-aligned compensation shared prior to the interview process.
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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