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Freelance Aws Python Developer Jobs in Boston, MA

Mentor engineers and researchers through architecture reviews, code reviews, technical ... Google Cloud, AWS * Python, TypeScript * Protobuf, gRPC * Next.JS, React.JS * GitHub Actions

Mentor engineers and researchers through architecture reviews, code reviews, technical ... Google Cloud, AWS * Python, TypeScript * Protobuf, gRPC * Next.JS, React.JS * GitHub Actions

AWS CLOUD DevOps Engineer

Maynard, MA

$56 - $76.75/hr

Nodejs BASH and / or other scripting experience is required (shell, Puppet, Chef, Ansible, Python ... with AWS CloudWatch and AWS APIs is a plus Experience with cloud automation tools like ...

AWS CLOUD DevOps Engineer

Maynard, MA · On-site

$56 - $76.75/hr

... Python, Ruby, etc.) • Experience with AWS/EC2 hosting, ELBs, auto-scaling, certificate management, etc. is a plus • Experience with AWS CloudWatch and AWS APIs is a plus • Experience with cloud ...

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Java Developer Location : Boston, MA (Hybrid) - Local MA candidates only Duration : Long term ... AWS cloud services. · Strong experience in Python for scripting, automation, and data-driven ...

Staff Cloud Engineer (AWS)

Wilmington, MA · On-site

$61 - $81.50/hr

Experience: 5+ years of proven experience as a Cloud or DevOps Engineer with deep, handson ... Proficiencyin at least one scripting or programming language such as Python, Bash, or Go. * Version ...

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python ... Experience with cloud-based AI infrastructure (AWS, Azure, or Google Cloud Platform). * Familiarity ...

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Freelance Aws Python Developer information

See Boston, MA salary details

$14

$63

$93

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

As of Jun 10, 2026, the average hourly pay for freelance aws python developer in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What are the common challenges faced by Freelance AWS Python Developers when managing multiple client projects simultaneously?

Freelance AWS Python Developers often juggle several projects at once, which can present challenges such as managing conflicting deadlines, aligning with different clients' AWS infrastructure preferences, and staying updated with evolving AWS services. Effective communication and clear documentation are crucial when collaborating with various stakeholders remotely. Additionally, freelancers need to ensure robust security practices for each client, as data privacy and compliance requirements may differ between projects.

What does a Freelance AWS Python Developer do?

A Freelance AWS Python Developer designs, develops, and maintains cloud-based applications using Python on Amazon Web Services (AWS). They are responsible for building scalable and secure solutions, integrating AWS services like Lambda, S3, and DynamoDB, and automating cloud infrastructure with Python scripts. As freelancers, they work independently for various clients, handling tasks such as coding, deployment, troubleshooting, and optimizing cloud resources to meet client needs.

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

AspectFreelance Aws Python DeveloperCloud Engineer
CredentialsAWS certifications, Python proficiencyAWS certifications, cloud architecture knowledge
Work EnvironmentIndependent, project-based, remoteIn-house or remote, team collaboration
Industry UsageFreelance projects, startups, consultingLarge enterprises, cloud service providers

Freelance Aws Python Developers focus on specific projects involving AWS and Python, often working independently. Cloud Engineers typically handle broader cloud infrastructure, architecture, and deployment within organizations. While both roles require AWS certifications, Freelance Aws Python Developers emphasize coding and project delivery, whereas Cloud Engineers focus on system design and management.

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

To thrive as a Freelance AWS Python Developer, you need strong expertise in Python programming, cloud architecture knowledge, and experience with AWS services, often supported by a relevant degree or AWS certifications. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and version control systems like Git is typically required. Excellent problem-solving, communication, and time management skills help you deliver client projects efficiently and maintain strong professional relationships. These skills and qualities ensure you can design scalable cloud solutions, meet client needs, and succeed in a competitive freelance market.
What are the most commonly searched types of Aws Python Developer jobs in Boston, MA? The most popular types of Aws Python Developer jobs in Boston, MA are:
What are popular job titles related to Freelance Aws Python Developer jobs in Boston, MA? For Freelance Aws Python Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Freelance Aws Python Developer jobs in Boston, MA look for? The top searched job categories for Freelance Aws Python Developer jobs in Boston, MA are:

Software Architect

Foundation EGI

Boston, MA • On-site

Full-time

Posted 26 days ago


Job description

About us

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

The Role

We are looking for an experienced Software Architect to help shape the foundation of our products as we scale. You will lead architecture decisions across our systems, collaborate closely with product and research teams, and drive the delivery of high-impact features across the stack.

This role is ideal for someone who enjoys solving complex technical problems, mentoring teams, and building scalable systems at the intersection of AI, simulation, and modern cloud infrastructure

Responsibilities
  • Lead the architecture, technical design, and execution strategy for cross-functional engineering initiatives.

  • Define scalable system designs and establish engineering best practices across the organization.

  • Partner closely with Product and Research teams to translate ideas into production-ready features.

  • Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones.

  • Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming.

  • Improve the reliability, scalability, observability, and performance of our platforms and services.

  • Contribute hands-on to critical parts of the codebase with clean, maintainable, and well-tested code.

  • Drive continuous improvements in developer experience, infrastructure, and deployment workflows.

  • Help foster a strong engineering culture focused on quality, ownership, and collaboration.

What Were Looking for
  • BS/MS in Computer Science, Engineering, or a related technical field.

  • 10+ years of experience building and scaling complex software systems.

  • Strong experience designing distributed systems and service-oriented architectures.

  • Fluency in Python, TypeScript, and SQL.

  • Experience designing and implementing gRPC and Protobuf-based APIs.

  • Experience working with cloud infrastructure on Google Cloud Platform and/or AWS.

  • Strong knowledge of data modeling, performance optimization, and scalable system design.

  • Familiarity with machine learning including LLMs.

  • Excellent communication and collaboration skills across technical and non-technical teams.

Bonus Points
  • Experience managing infrastructure as code (Terraform, Pulumi, etc.).

  • Experience working with CAD software.

  • Background in computer graphics, simulation, or physics-based systems.

  • Experience building or working with Domain-Specific Languages (DSLs).

  • Experience deploying or integrating machine learning systems into production environments.

  • Familiarity with Kubernetes-based production environments.

Our Tech Stack
  • Google Cloud, AWS

  • Python, TypeScript

  • Protobuf, gRPC

  • Next.JS, React.JS

  • GitHub Actions

  • Docker, Kubernetes, Spinnaker

  • PostgreSQL

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.