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Remote Aws Python Developer Jobs in Davison, MI (NOW HIRING)

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Remote Aws Python Developer information

See Davison, MI salary details

$11

$53

$78

How much do remote aws python developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote aws python developer in Davison, MI is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $60.34 per hour, depending on experience, location, and employer.

What is a Remote AWS Python Developer?

A Remote AWS Python Developer is a software engineer who specializes in building, deploying, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They typically work remotely, collaborating with teams online to develop cloud-based solutions, automate processes, and ensure scalability and security. Their responsibilities often include writing serverless applications, integrating AWS services like Lambda, S3, and DynamoDB, and optimizing cloud workloads. Proficiency in both Python and AWS is essential for this role.

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

AspectRemote Aws Python DeveloperRemote Cloud Engineer
Required SkillsPython, AWS, Linux, APIsCloud platforms (AWS, Azure, GCP), scripting, automation
CertificationsAWS Certified Developer, Python certificationsAWS Certified Solutions Architect, Cloud certifications
Work EnvironmentRemote, software development teamsRemote, infrastructure and deployment teams
Industry UsageTech, startups, SaaS companiesTech, finance, healthcare, enterprise

Remote Aws Python Developers focus on coding, AWS services, and integrating Python applications, while Remote Cloud Engineers handle broader cloud infrastructure, deployment, and automation across multiple platforms. Both roles often work remotely and require cloud certifications, but their core responsibilities differ in scope and focus.

How do Remote AWS Python Developers typically collaborate with distributed teams to ensure project success?

Remote AWS Python Developers frequently work with cross-functional teams spread across different locations. Collaboration is often managed through tools such as Slack, Jira, and GitHub, which help coordinate code reviews, issue tracking, and deployments. Regular video meetings and asynchronous communication are key to staying aligned on project goals and addressing blockers quickly. Developers are encouraged to document their code and share updates proactively to maintain transparency and foster effective teamwork.

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

To thrive as a Remote AWS Python Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing concepts, and experience with AWS services, often supported by a degree in computer science or a related field. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and CI/CD pipelines, as well as relevant AWS certifications, is typically expected. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a distributed team environment. These abilities ensure you can design, deploy, and maintain scalable cloud solutions efficiently and reliably while working remotely.
What cities near Davison, MI are hiring for Remote Aws Python Developer jobs? Cities near Davison, MI with the most Remote Aws Python Developer job openings:
Remote Aws Python Developer jobs near you
Vehicle controls and calibration engineer (Virtual Simulations)

Vehicle controls and calibration engineer (Virtual Simulations)

Detroit Engineered Products

Auburn Hills, MI • On-site, Remote

$82K - $106K/yr

Other

Posted 19 days ago

Job description

Position Overview
The Controls and Calibration Applications Engineer will be responsible for developing and implementing advanced simulation technologies, AI-driven solutions, and automated workflows that facilitate virtual calibration and minimize reliance on physical testing. This role plays a crucial part in driving the future of automotive virtual engineering, working at the intersection of advanced controls engineering, digital transformation, and customer-focused solution delivery.
Responsibilities
Controls Management & Integration
Ensure quality and performance of system simulation controls by developing high-fidelity vehicle control models with real-time capability, optimizing model fidelity and computational efficiency, automating custom model generation and testing workflows, and integrating advanced plant models within Simulink environments.
Customer Focus & Collaboration
Collaborate with propulsion controls and calibration teams to develop tailored simulation models, maintain requirements and feedback channels for continuous improvement, track KPIs for quality and accuracy, provide guidance and support for simulation models, foster adoption of simulation tools within controls organizations, and ensure pre-delivery model compatibility with customer systems.
Digital Innovation & Advanced Technologies
Integrate AI with traditional model-based approaches , implement RAG systems, implement thermal and torque controls for electric vehicles, design cloud setups for scalable virtual calibration, correlate models with physical test data, drive virtual calibration initiatives for electric vehicles, and research and implement emerging virtual engineering technologies.
Qualifications
  • Background in Electrical Engineering, Mechanical Engineering, Controls Engineering, or related technical field; Master's degree preferred
  • 3+ years in automotive controls engineering, simulation, or related field
  • Proficiency in Simulink, GT-Power, Amesim, MATLAB, Python, C/C++, and scripting languages
  • Experience with vehicle calibration processes and methodologies, including INCA, Vector tools, or similar calibration software
  • Knowledge of AI/ML technologies, Neural Networks, Large Language Models, and cloud computing (AWS, Azure)
  • Understanding of vehicle control systems, real-time systems, co-simulation and system integration
  • Strong problem-solving, analytical skills, and systems thinking; collaborative with cross-functional teams

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