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Python Aws Jobs in Michigan (NOW HIRING)

Stellantis

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... AWS, Azure, GCP). • Architect and implement full-stack solutions integrating AI models with ... in Python and JavaScript (React, Node.js). • Proven experience with cloud platforms (AWS, Azure ...

Stellantis

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

... AWS, Azure, GCP). • Architect and implement full-stack solutions integrating AI models with ... in Python and JavaScript (React, Node.js). • Proven experience with cloud platforms (AWS, Azure ...

Stellantis

Lead Developer (Python)

Auburn Hills, MI · On-site

$132.50K - $162.80K/yr

Proven experience with cloud platforms (AWS, Azure, or GCP). * Experience building and deploying ... Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI). * Knowledge of data ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$99K - $232K/yr

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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How much do python aws jobs pay per hour?

As of May 30, 2026, the average hourly pay for python aws in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python AWS Developer, and why are they important?

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are popular job titles related to Python Aws jobs in Michigan? For Python Aws jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Aws jobs in Michigan look for? The top searched job categories for Python Aws jobs in Michigan are:
Python Aws jobs near you

Sr & Jr AWS AI/Data Engineers

Reliable Software Resources

Detroit, MI • Remote

$104.80K - $125.80K/yr

Other

Posted 2 days ago

Job description

Position#1
Job Title: Senior AWS AI / Data Engineer
Location: Detroit, MI 
Hire Type: Long-term contract
 
Experience: 7+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel | 
 
Agentic AI
LLMs
Python
AWS Native
Data Pipelines
Structured + Unstructured Data
 
ABOUT THE ROLE
As a Senior AWS AI/Data Engineer at DataFactZ you will architect and deliver enterprise-grade AI and data pipeline solutions for large-scale client engagements. You will lead the design of agentic AI systems, LLM-powered applications, and high-throughput data pipelines on AWS — translating complex business problems into production-ready solutions while mentoring junior engineers.
 
KEY RESPONSIBILITIES
•      Design and build end-to-end data pipelines for ingesting, transforming, and serving structured (SQL, Redshift, Parquet) and unstructured (PDFs, emails, documents, images) data on AWS
•      Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning via Amazon Bedrock, OpenAI, or Anthropic Claude
•      Build multi-agent orchestration workflows using LangChain, LlamaIndex, CrewAI, or AutoGen for enterprise automation
•      Design RAG pipelines connecting structured and unstructured data sources to LLMs via vector databases (Pinecone, OpenSearch, pgvector)
•      Lead AWS data architecture across S3, Glue, Lambda, EMR, Athena, Step Functions, and Redshift
•      Develop prompt engineering strategies and fine-tuning approaches for domain-specific LLM customization
•      Mentor junior engineers, lead code reviews, and drive engineering best practices
•      Engage client stakeholders to scope AI/data use cases, define success metrics, and deliver on commitments
 
REQUIRED SKILLS
•      Python: Advanced proficiency for data engineering, pipeline orchestration, and AI integrations
•      AWS services: Deep hands-on experience with S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, and Bedrock
•      LLMs & Agentic AI: Production experience building LLM-powered agents, tool-calling workflows, and multi-agent systems
•      Data pipelines: Batch and real-time ETL/ELT for large-scale structured and unstructured datasets
•      RAG & vector search: Building retrieval-augmented generation systems with embedding pipelines and semantic search
•      System design: Architecting scalable, secure, cost-efficient cloud-native data and AI systems
•      Leadership: Proven ability to lead technical workstreams and communicate designs to senior stakeholders
 
PREFERRED
•      AWS certifications: Solutions Architect, Data Analytics, or Machine Learning Specialty
•      Document intelligence: AWS Textract or custom document parsing pipelines
•      Multi-modal AI: Experience with vision or document-aware models
 
 

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