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Developer Operations Engineer Intern Jobs in Danbury, CT

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI ... Docker, CI/CD, cloud platforms, or basic DevOps workflows * Experience with machine learning ...

Aquarion Water Company

Operations Engineer

Greenwich, CT · On-site

$95K - $119K/yr

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Aquarion Water Company

Operations Engineer

Greenwich, CT · On-site

$95K - $119K/yr

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Aquarion Water Company

Operations Engineer

Greenwich, CT

$95K - $119K/yr

Job Summary The Operations Engineer is responsible for providing operational and engineering review and evaluation in support of Supply Operations goals and objectives with an emphasis on treatment ...

Prophecy Technologies

Azure Terraform Engineer

Stamford, CT · On-site

$56.25 - $77/hr

Build and manage CICD pipelines (Azure DevOps, Jenkins, GitHub Actions) for automated deployments. * Administer core Azure services, ensuring high availability, scalability, and security. * Implement ...

PSG Global Solutions

Engineering Intern

North Haven, CT

$16.75 - $21.75/hr

Company Description Prominent Medical Devices Company Description Engineering Intern The Student Worker - Engineering is responsible for providing daily support of multiple product families with ...

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All JobsDeveloper Operations Engineer Intern JobsDeveloper Operations Engineer Intern Jobs in Danbury, CT

Developer Operations Engineer Intern information

See Danbury, CT salary details

$13

$26

$39

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

As of Jun 16, 2026, the average hourly pay for developer operations engineer intern in Danbury, CT is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $29.52 per hour, depending on experience, location, and employer.

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 types of projects and responsibilities can a Developer Operations Engineer Intern expect during their internship?

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 Developer Operations Engineer Interns?

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 are the key skills and qualifications needed to thrive as a Developer Operations Engineer Intern, and why are they important?

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 cities near Danbury, CT are hiring for Developer Operations Engineer Intern jobs? Cities near Danbury, CT with the most Developer Operations Engineer Intern job openings:
Developer Operations Engineer Intern jobs near you
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

Posted 16 days ago

Job description

Job Description
JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together.
The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.
Responsibilities
  • Develop and maintain AI-powered software features, prototypes, and internal tools.
  • Write clean, efficient, and well-documented code in Python or another modern programming language.
  • Integrate large language models and AI APIs into applications, workflows, or backend services.
  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.
  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.
  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.
  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.
  • Participate in code reviews, unit testing, documentation, and deployment activities.
  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.
  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.
  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications
  • Currently pursuing a Bachelor's or Master's degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.
  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.
  • Experience building software projects, APIs, applications, automation scripts, or backend services.
  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications
  • Experience with generative AI tools, LLM APIs, or AI application frameworks.
  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks
  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns
  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector
  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation
  • FastAPI, Flask, Node.js, React, or similar application frameworks
  • Docker, CI/CD, cloud platforms, or basic DevOps workflows
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.
  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You'll Learn
  • How to build real-world generative AI applications and AI-powered developer tools.
  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.
  • How to design AI agent workflows using tools such as LangGraph and related frameworks.
  • Best practices for writing production-quality code for AI applications.
  • How to test and improve AI system reliability, accuracy, and performance.
  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.
  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer.
Job Requirements

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