2

Remote Amazon Computer Science Jobs in Pottstown, PA

Adjunct Faculty- Data Science

PA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... D. in Computer Science, Mathematics, Data Science, Business Analytics, or related field, and ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

... Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly ... Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a ...

Clinical Systems Specialist

Blue Bell, PA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in life sciences, computer science, or related field #LI-Remote Employment with ICON is contingent upon having the legal right to work in the country where the role is based.

next page

Showing results 1-20

Remote Amazon Computer Science information

What is a remote Amazon computer science job?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

How do remote Amazon computer science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

What are the key skills and qualifications needed to thrive as a remote Amazon computer science professional, and why are they important?

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What are popular job titles related to Remote Amazon Computer Science jobs in Pottstown, PA?

For Remote Amazon Computer Science jobs in Pottstown, PA, the most frequently searched job titles are:

Senior Software Engineer / Cloud Engineer Fully Remote

Alphanumeric

Collegeville, PA • Remote

$80 - $90/hr

Contractor

Posted 6 days ago


Job description

Senior Software Engineer / Cloud Engineer - Fully Remote
Alphanumeric is hiring a Senior Software Engineer / Cloud Engineer (Functional Consultant - Level 3) to support our client of over 20 years, a global leader dedicated to improving lives through medical and pharmaceutical innovation.

Location: Fully Remote - Eastern Time Zone preferred
Pay Range: $80-$90/hour W2

Please Note: We are unable to accept applications from third-party agencies for this position. Candidates must be eligible to work directly on Alphanumeric's W2 without requiring sponsorship now or in the future.

The Opportunity
We are seeking an experienced Senior Software Engineer with strong cloud engineering expertise to join a collaborative team responsible for building reliable, scalable, secure, and efficient applications.
This is not a traditional cloud infrastructure or DevOps-only position. Software engineering experience is a core requirement. The ideal candidate combines hands-on application development with strong knowledge of modern cloud platforms and Infrastructure as Code.
As a senior technical contributor, you will take loosely defined business and technical requirements, translate them into well-defined technical solutions, and architect and build those solutions through implementation.
You will work alongside talented engineers in a highly collaborative environment that values curiosity, innovation, pairing, continuous improvement, and pragmatic engineering practices.

Key Responsibilities
  • Design, develop, and implement reliable, scalable, and secure cloud-native applications.
  • Translate business and technical requirements into well-designed software solutions and technical specifications.
  • Develop and maintain production-quality software within modern cloud environments.
  • Design solutions across Google Cloud Platform (GCP), Microsoft Azure, and/or Amazon Web Services (AWS), with GCP strongly preferred.
  • Build and maintain cloud infrastructure using Terraform and Infrastructure as Code (IaC) practices.
  • Partner with product teams, software engineers, cloud engineers, and internal and external stakeholders throughout the development lifecycle.
  • Apply software engineering best practices to system design, implementation, testing, security, reliability, and scalability.
  • Support modern CI/CD and automated deployment practices.
  • Participate in Agile development activities, technical design discussions, code reviews, and collaborative problem-solving.
  • Champion secure engineering practices and contribute to continuous improvement across the engineering organization.

Required Qualifications
  • Bachelor's degree in Computer Science or a related technical discipline; Master's or PhD welcomed.
  • Approximately 8-10+ years of relevant software/cloud engineering experience or equivalent experience.
  • Strong hands-on software engineering experience is required.
  • Experience developing production applications, backend services, APIs, microservices, or other cloud-native software solutions.
  • Hands-on experience with at least one major cloud platform:
    • Google Cloud Platform (GCP) - strongly preferred
    • Microsoft Azure
    • Amazon Web Services (AWS)
  • Strong experience with Terraform / Infrastructure as Code.
  • Experience working within an Agile software development environment.
  • Ability to independently architect and build solutions from loosely defined business or technical requirements.
  • Strong communication and collaboration skills.

Preferred Qualifications
  • Hands-on Rust programming experience.
  • Experience with Python, Go, or other modern software development languages.
  • Kubernetes and containerization experience.
  • Cloud infrastructure engineering experience.
  • Experience developing cloud-native applications and microservices.
  • Pharmaceutical, life sciences, healthcare, or other regulated-industry experience.

Why Join?
This is an opportunity to combine software engineering and cloud engineering while supporting innovative work within a leading global pharmaceutical organization. You'll join a collaborative engineering environment where technical quality, security, curiosity, and continuous improvement are highly valued.

If you're a hands-on software engineer with strong cloud expertise who enjoys solving complex problems and building scalable cloud-native solutions, we'd love to hear from you.
Education:Employment Type: CONTRACTOR