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Entry Level Aws Python Developer Jobs in Edison, NJ

Proven Senior Developer with expertise in Oracle, Spark SQL, Javaa, Python/Shell scripting Strong experience with AWS services and cloud-based architectures Hands on practical experience in system ...

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Strong programming experience in Java and Python. Hands-on experience with databases such as PostgreSQL, MySQL, Oracle, SQL Server, DynamoDB, or similar. Experience with AWS services such as Lambda ...

Be Seen First

Strong programming experience in Java and Python. Hands-on experience with databases such as PostgreSQL, MySQL, Oracle, SQL Server, DynamoDB, or similar. Experience with AWS services such as Lambda ...

Sr AWS DevOps

Plainsboro, NJ · Remote

$133K - $170K/yr

One of our clients, a leading company in Cloud Solutions is hiring for Sr AWS DevOps roles ... Service Catalog, Jenkins, Terraform, Python, IAM, Sagemaker and Weavescope 4 open positions

Sr AWS DevOps

Plainsboro, NJ · On-site +1

$133K - $170K/yr

C2C accepted if own corp. MUST RESIDE IN USA Job Title: Sr AWS DevOps Location: REMOTE Duration: 6+ ... Service Catalog, Jenkins, Terraform, Python, IAM, Sagemaker and Weavescope 4 open positions

AI Engineer (12+Years) Location: NYC, NY (Onsite) Only Locals Mandatory Skills ... AI, AWS, Typescript, JavaScript, Python, GO Required: • Languages: TypeScript, Python, Go • ...

AWS Cloud Engineer

Manhattan, NY · On-site

$61.50 - $82.25/hr

... DevOps and should have good python / Linux shell script experience • Python and Terraform code writing • Migration on-prem to cloud • Good communication skills

AWS Cloud Engineer

Raritan, NJ · On-site

$57 - $76.25/hr

Role: AWS Cloud Engineer Duration: Long-term Location: Raritan, NJ (Hybrid) Overview : We are ... Python coding skills

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Entry Level Aws Python Developer information

See Edison, NJ salary details

$13

$60

$89

How much do entry level aws python developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level aws python developer in Edison, NJ is $60.69, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $68.94 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Aws Python Developer vs Entry Level Cloud Support Engineer?

AspectEntry Level Aws Python DeveloperEntry Level Cloud Support Engineer
Required CredentialsAWS certifications, Python knowledgeAWS certifications, basic scripting skills
Work EnvironmentDevelopment, coding, cloud application deploymentSupport, troubleshooting, customer interaction
Industry UsageTech companies, startups, cloud service providersIT services, cloud providers, enterprise support

Both roles often require AWS certifications and familiarity with cloud platforms. The Entry Level Aws Python Developer focuses on coding, developing cloud applications, and automation using Python, while the Entry Level Cloud Support Engineer emphasizes troubleshooting, customer support, and maintaining cloud services. The choice depends on whether you prefer development or support roles within the cloud industry.

What does an Entry Level AWS Python Developer do?

An Entry Level AWS Python Developer is responsible for building and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They often work on automating cloud processes, writing scripts, deploying code, and integrating AWS services. These developers help optimize cloud resources, troubleshoot issues, and support teams in developing scalable, cloud-native solutions. Although entry level, the role requires a foundation in Python, basic understanding of AWS services, and eagerness to learn more advanced cloud development concepts.

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

To thrive as an Entry Level AWS Python Developer, you need a solid understanding of Python programming, cloud computing fundamentals, and basic knowledge of AWS services, often supported by a relevant degree or coursework. Familiarity with tools like AWS Lambda, EC2, S3, and foundational certifications such as AWS Certified Cloud Practitioner are commonly required. Strong problem-solving, eagerness to learn, and effective communication skills help you adapt to evolving technologies and collaborate on teams. These skills and qualities are vital for building reliable cloud solutions and contributing effectively to development projects in dynamic environments.

What are some common challenges faced by entry-level AWS Python Developers when working in cloud-based environments?

Entry-level AWS Python Developers often encounter challenges related to configuring cloud resources securely, managing permissions with AWS Identity and Access Management (IAM), and understanding the integration of Python applications with AWS services like Lambda, S3, and DynamoDB. Adapting to the fast-paced, collaborative nature of cloud development teams can also be demanding, as it requires clear communication and a willingness to continuously learn new AWS services and best practices. However, these challenges are excellent opportunities for rapid skill growth and gaining hands-on experience with modern cloud technologies.
What are popular job titles related to Entry Level Aws Python Developer jobs in Edison, NJ? For Entry Level Aws Python Developer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Aws Python Developer jobs in Edison, NJ look for? The top searched job categories for Entry Level Aws Python Developer jobs in Edison, NJ are:
AI Developer ( w / NLP + ML + AWS) : New York, NY : Contract on w2

AI Developer ( w / NLP + ML + AWS) : New York, NY : Contract on w2

Marvel Technologies Inc

New York, NY • On-site

Contractor

Re-posted 4 days ago


Job description

The Role:

Our Client is seeking a AI Developer – Natural Language Processing,  Machine Learning & AWS to join our team in New York, NY  (Need Onsite day 1, hybrid 3 days from office).

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities.
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices. 

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 

Preferred, but not required:

  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.