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Developer Operations Engineer Intern Jobs in Mishawaka, IN

TERRACON

Intern

Buchanan, MI · On-site

$16.50 - $21.25/hr

Collaborate with experienced engineers and technicians on field and laboratory assignments * Support active project work and observe how technical decisions translate to client and community outcomes

Palm Harbor Homes

Industrial Engineer

Elkhart, IN

$67K - $90K/yr

This position offers significant exposure to operations, engineering, and continuous improvement activities that directly impact manufacturing performance. Key Responsibilities * Assist in designing ...

Cavco Manufacturing LLC

Industrial Engineer

Elkhart, IN

$67K - $90K/yr

This position offers significant exposure to operations, engineering, and continuous improvement activities that directly impact manufacturing performance. Key Responsibilities * Assist in designing ...

Avero

Manufacturing Engineer - Robotics

South Bend, IN · On-site

$71K - $92K/yr

Collaborate with engineering, operations, and maintenance teams to improve manufacturing processes and equipment performance. * Develop standard work instructions, process documentation, and training ...

The Cavco Family of Companies

Industrial Engineer

Elkhart, IN · On-site

$67K - $90K/yr

This position offers significant exposure to operations, engineering, and continuous improvement activities that directly impact manufacturing performance. Key Responsibilities * Assist in designing ...

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All JobsDeveloper Operations Engineer Intern JobsDeveloper Operations Engineer Intern Jobs in Mishawaka, IN

Developer Operations Engineer Intern information

See Mishawaka, IN salary details

$12

$23

$35

How much do developer operations engineer intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for developer operations engineer intern in Mishawaka, IN is $23.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $26.44 per hour, depending on experience, location, and employer.

What is a developer operations engineer intern?

Developer Operations Engineer Interns, often called DevOps Engineer Interns, are students or recent graduates who assist in bridging the gap between software development and IT operations. They help automate processes, manage infrastructure, and ensure efficient deployment and monitoring of applications. Interns in this role typically work with tools like CI/CD pipelines, cloud platforms, and scripting languages to support development teams and improve software delivery. This internship provides hands-on experience in both development and operations, preparing candidates for a career in DevOps.

What do developer operations engineer interns do?

As a Developer Operations Engineer Intern, you will typically work on tasks such as automating deployment pipelines, managing cloud infrastructure, monitoring system performance, and supporting CI/CD workflows. You may assist with troubleshooting build failures, writing scripts to streamline operations, and collaborating with both development and IT teams to ensure smooth software releases. This role provides hands-on experience with modern DevOps tools and practices, offering a solid foundation for a future career in site reliability or DevOps engineering.

What are the key skills and qualifications needed to thrive as a developer operations engineer intern?

To thrive as a Developer Operations Engineer Intern, you need a solid understanding of software development, basic networking, and scripting languages such as Python or Bash, typically supported by coursework or relevant experience. Familiarity with version control systems like Git, CI/CD tools (e.g., Jenkins, GitHub Actions), and cloud platforms (e.g., AWS, Azure) is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with development and operations teams. These skills ensure you can efficiently support deployment pipelines, troubleshoot issues, and contribute to reliable software delivery processes.

What is the difference between Developer Operations Engineer Intern vs Software Developer Intern?

AspectDeveloper Operations Engineer InternSoftware Developer Intern
Required skillsBasic knowledge of DevOps tools, scripting, cloud platformsProgramming languages, software development fundamentals
Work environmentCollaborates with DevOps and IT teams, focuses on deployment and automationWorks mainly on coding, testing, and application development
Industry usageCommon in tech companies with DevOps practicesWidespread across software development firms and startups

The Developer Operations Engineer Intern role focuses on automation, deployment, and infrastructure, often requiring knowledge of DevOps tools. In contrast, the Software Developer Intern primarily concentrates on coding and application development. Both roles are valuable entry points in tech companies but differ in daily tasks and skill emphasis.

What cities near Mishawaka, IN are hiring for Developer Operations Engineer Intern jobs?

Cities near Mishawaka, IN with the most Developer Operations Engineer Intern job openings:

Developer Operations Engineer Intern jobs near you

IT Sr. Analyst, AI Engineer

Patrick Industries

Elkhart, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

461st of 544 rated manufacturers

Job description

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!
The IT Sr. Analyst, AI Engineer is responsible for designing, developing, deploying, and supporting enterprise AI solutions, agentic applications, and intelligent integrations across Patrick Industries. As a senior member of the Agile AI Factory, this role owns technical solution design, implementation approaches, engineering quality, and operational performance for assigned initiatives. The position partners closely with Product Managers, Platform Engineers, Data Engineers, and business stakeholders to deliver scalable AI-enabled solutions that drive automation, improve decision-making, and create measurable business value.
Responsibilities & Duties:
AI Solution Design & Development
  • Design, develop, test, and deploy AI-enabled applications, agents, and intelligent automation solutions
  • Own technical solution design for assigned initiatives, translating business requirements into scalable production-ready applications
  • Develop agentic workflows, prompt engineering strategies, retrieval-augmented generation solutions, and AI orchestration capabilities
  • Create reusable frameworks, services, and components that accelerate enterprise AI delivery
  • Develop technical documentation, design specifications, and engineering standards
  • Participate in code reviews, design reviews, and architecture discussions to ensure solution quality

System Architecture & Engineering
  • Design system components, service boundaries, data flows, integration patterns, and operational workflows for assigned solutions
  • Evaluate architectural alternatives and make recommendations based on scalability, performance, reliability, and maintainability requirements
  • Assess technical trade-offs related to cost, latency, compute utilization, and solution complexity
  • Design solutions that support enterprise growth, operational efficiency, and long-term sustainability
  • Collaborate with Platform Engineers and Architects to ensure alignment with enterprise standards
  • Identify and proactively address technical risks, dependencies, and architectural concerns

AI Platform Integration & Automation
  • Build integrations between AI platforms and enterprise applications, including ERP, operational systems, and business applications
  • Develop APIs, services, and automation frameworks that enable intelligent workflows across the organization
  • Support implementation of AI capabilities within manufacturing, supply chain, finance, HR, and corporate business processes
  • Ensure integrations are reliable, secure, scalable, and aligned with enterprise architecture standards
  • Troubleshoot integration challenges and optimize system performance
  • Collaborate with technical teams to support end-to-end solution delivery

Data Engineering & AI Enablement
  • Build data pipelines and supporting infrastructure required for AI applications and intelligent automation
  • Partner with Data Engineering teams to ensure data quality, availability, governance, and readiness
  • Design and implement data structures that support AI model performance and business requirements
  • Support ingestion, transformation, and preparation of enterprise data for AI use cases
  • Optimize solutions for performance, scalability, and maintainability
  • Contribute to enterprise AI and data platform standards and best practices

Solution Quality, Monitoring & Production Support
  • Develop and maintain testing frameworks, evaluation harnesses, and validation processes for AI solutions
  • Establish monitoring and observability standards for production AI systems
  • Track application performance, latency, error rates, model behavior, and output quality
  • Support deployment, stabilization, issue resolution, and ongoing production operations
  • Implement regression testing and validation processes when models, prompts, or retrieval layers change
  • Drive continuous improvement of solution reliability, performance, and supportability

DevOps & Agile Delivery
  • Apply DevOps best practices including CI/CD pipelines, source control, automated testing, and release management
  • Participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives
  • Collaborate with cross-functional teams to deliver prioritized work efficiently and predictably
  • Provide effort estimates, identify delivery risks, and communicate project status effectively
  • Support release planning, deployment readiness, and production rollout activities
  • Continuously improve engineering practices, development tools, and delivery processes

Technical Leadership & Innovation
  • Provide technical guidance and mentorship to engineers and project teams
  • Promote engineering best practices and high-quality software development standards
  • Research emerging AI technologies, frameworks, and development approaches
  • Evaluate new tools and platforms that may enhance enterprise AI capabilities
  • Recommend improvements that increase platform scalability, developer productivity, and business value
  • Support advancement of Patrick Industries' AI maturity and digital transformation initiatives

Qualifications and Skills:
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or related field; equivalent experience may be considered
  • 4+ years of software engineering, AI engineering, data engineering, or related experience
  • Experience designing, developing, and deploying enterprise software applications and integrations
  • Hands-on experience building and implementing AI, machine learning, generative AI, or agentic solutions
  • Strong proficiency with Python, SQL, and JavaScript/TypeScript or similar development technologies
  • Experience with prompt engineering, retrieval-augmented generation, LLM orchestration, and AI development frameworks
  • Demonstrated system design and software architecture experience
  • Experience developing APIs, integrations, and distributed application components
  • Strong understanding of DevOps practices including CI/CD, source control, automated testing, and release management
  • Experience working in Agile product development environments
  • Familiarity with Microsoft Azure, Microsoft Fabric, Microsoft Foundry, Azure DevOps, and Dynamics 365 environments
  • Knowledge of monitoring, observability, and production support practices for enterprise applications
  • Experience with MLOps, model deployment, monitoring, and lifecycle management preferred
  • Experience supporting manufacturing, operations, supply chain, or industrial business environments preferred
  • Experience integrating enterprise applications, industrial systems, sensors, or operational technologies preferred
  • Experience in decentralized, multi-site, or acquisition-driven organizations preferred
  • Exposure to C#, Rust, or KQL is a plus
  • Strong analytical, communication, collaboration, and problem-solving skills

Benefits Include:
Health, Dental, Vision, Life, Insurances, Paid Vacation, 401K Match, Holidays, Health Club and Tuition Reimbursement
At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.
Patrick is an Equal Opportunity Employer.
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