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Internship Aws Python Developer Jobs in Indiana (NOW HIRING)

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS ... Strong production support, troubleshooting, and scripting skills using Python, Bash, or similar ...

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS ... Strong production support, troubleshooting, and scripting skills using Python, Bash, or similar ...

GenAI Python Systems Engineer-Manager

Indianapolis, IN

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying DevOps pipelines ...

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... or Python ● Professional experience with AWS / Azure / GCP (Google Cloud is preferred) ● ...

Senior DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... or Python ● Professional experience with AWS / Azure / GCP (Google Cloud is preferred) ● ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

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Internship Aws Python Developer information

What does an AWS Python Developer intern do?

An AWS Python Developer Intern assists with designing, developing, and maintaining cloud-based applications using Amazon Web Services (AWS) and the Python programming language. Their responsibilities typically include writing and testing code, automating cloud infrastructure, and collaborating with senior developers to implement scalable solutions. Interns may also help with debugging, monitoring, and optimizing existing applications, as well as learning best practices for cloud security and deployment. This role provides valuable hands-on experience with both cloud computing and Python development in a real-world business environment.

What are the key skills and qualifications needed to thrive as an AWS Python Developer intern?

To thrive as an Internship AWS Python Developer, you need a solid understanding of Python programming, basic knowledge of cloud computing concepts, and familiarity with AWS services, ideally supported by relevant coursework or certifications. Experience with tools like AWS Lambda, S3, EC2, and version control systems (e.g., Git) is often expected. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These competencies are crucial for building scalable cloud solutions, adapting to evolving technologies, and contributing successfully within a collaborative development environment.

What types of projects can I expect to work on during an AWS Python Developer internship?

As an AWS Python Developer intern, you can expect to work on projects that involve building, testing, and deploying cloud-based applications using AWS services such as Lambda, S3, and DynamoDB. Your daily tasks may include writing Python scripts for automation, assisting with API integrations, and collaborating with senior developers to solve real-world business problems. Interns often work within agile teams, gaining exposure to cloud architecture, DevOps practices, and continuous integration/continuous deployment (CI/CD) pipelines. This hands-on experience is valuable for developing both technical and teamwork skills in a dynamic, fast-paced environment.

What is the difference between Internship Aws Python Developer vs Cloud Engineer?

AspectInternship Aws Python DeveloperCloud Engineer
Required SkillsPython, AWS basics, scripting, basic cloud conceptsAdvanced cloud architecture, AWS services, scripting, automation
Experience LevelEntry-level, internship experienceMid to senior level, professional experience
Work EnvironmentInternship programs, training projectsFull-time roles, enterprise cloud environments
CertificationsOptional, AWS Cloud Practitioner or similarRequired or preferred, AWS Solutions Architect, DevOps certifications

The Internship Aws Python Developer role is an entry-level position focused on learning AWS and Python scripting within a training environment. In contrast, a Cloud Engineer is a more advanced role involving designing, implementing, and managing cloud infrastructure. While both roles require knowledge of AWS, the Cloud Engineer position demands more experience and certifications. The internship provides a stepping stone into cloud careers, whereas the Cloud Engineer role is a full-time professional position.

What job categories do people searching Internship Aws Python Developer jobs in Indiana look for?

The top searched job categories for Internship Aws Python Developer jobs in Indiana are:

AI/ML Engineer Generative AI, Agentic AI & AWS

Compunnel

Indianapolis, IN • On-site

Full-time

Posted 4 days ago


Job description

Job Summary
We are looking for a hands-on AI/ML Engineer with strong experience in Python, Generative AI, Agentic AI, Machine Learning, and AWS to build and productionize enterprise AI solutions. The ideal candidate will have experience developing LLM/RAG applications, agentic workflows, ML pipelines, APIs, and cloud-native AI services.
Key Responsibilities
• Design, develop, test, deploy, and support end-to-end AI/ML solutions using Python and AWS.
• Build production-grade Python APIs, services, workers, data pipelines, and AI/LLM integrations using FastAPI, Pydantic, boto3, SQLAlchemy, pandas, NumPy, and scikit-learn.
• Develop RAG pipelines including document ingestion, parsing, chunking, metadata, embeddings, vector/hybrid search, reranking, retrieval, grounding, citations, and access-aware filtering.
• Build Agentic AI workflows with tools, state, memory, structured outputs, human-in-the-loop approvals, retries, error handling, and observability.
• Work with LangChain, LangGraph, CrewAI, AWS Strands Agents, or equivalent agent frameworks.
• Develop Generative AI solutions using Amazon Bedrock, foundation models, Knowledge Bases, Agents/AgentCore, and Guardrails.
• Implement classical ML solutions using scikit-learn, PyTorch, or TensorFlow, including training, evaluation, inference, monitoring, and model lifecycle management.
• Develop AI/ML evaluation frameworks covering golden datasets, prompt testing, retrieval evaluation, LLM evaluation, regression testing, and human review.
• Implement secure and scalable AWS solutions using SageMaker, Lambda, Step Functions, S3, OpenSearch, API Gateway, ECS/Fargate, EKS, EventBridge, SQS/SNS, RDS/Aurora, DynamoDB, and Glue.
• Implement IAM, KMS, Secrets Manager, VPC, encryption, CloudWatch, CloudTrail, logging, monitoring, and security controls.
• Support CI/CD, MLOps, Infrastructure as Code, and automated deployment using Terraform, AWS CDK/CloudFormation, GitHub Actions, CodeBuild/CodePipeline, and ECR.
• Develop unit, integration, contract, security, performance, and end-to-end tests using pytest.
• Optimize AI applications for latency, throughput, token consumption, cost, reliability, and scalability.
• Collaborate with architects, data engineers, QA, DevOps, security, and HCLS teams.
• Mentor other engineers and contribute to engineering best practices.
Required Qualifications
• Strong hands-on experience with Python.
• Experience developing FastAPI and REST APIs.
• Strong experience with Generative AI and LLMs.
• Experience with prompt and context engineering.
• Hands-on experience with RAG, embeddings, vector search, and hybrid search.
• Experience developing Agentic AI and AI agent solutions.
• Experience with LangChain, LangGraph, CrewAI, AWS Strands, or equivalent agent frameworks.
• Experience with Amazon Bedrock, including Knowledge Bases, Agents, and Guardrails.
• Experience with Amazon SageMaker.
• Hands-on experience with AWS services including Lambda, Step Functions, S3, OpenSearch, and API Gateway.
• Strong SQL skills.
• Experience with pytest and automated testing.
• Experience with Docker and Kubernetes.
• Experience with Terraform, AWS CDK, or CloudFormation.
• Experience with CI/CD and MLOps practices.
• Knowledge of IAM, KMS, Secrets Manager, and CloudWatch.
• Strong understanding of Machine Learning fundamentals.
• Experience with LLM/AI evaluation and observability.
Preferred Qualifications
• Experience in Healthcare and Life Sciences.
• Experience with HIPAA, PHI, or PII security requirements.
• Experience with AWS AgentCore.
• Experience with PyTorch or TensorFlow.
• Experience with PostgreSQL or DynamoDB.
• Experience with event-driven architecture.
• Knowledge of Responsible AI and AI security.
• Experience developing human-in-the-loop AI systems.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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