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Remote Amazon Computer Science Jobs in South Carolina

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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.

Is Amazon still offering remote jobs?

Amazon continues to offer remote jobs, including roles in software development, customer service, and operations. These positions often require skills in cloud computing, programming, or data analysis and may be available in various regions depending on the role and company policies.

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.

Does Amazon allow fully remote work?

Amazon offers remote work options for many roles, including those in computer science and software development. The availability of fully remote positions varies by job and team, with some roles requiring in-office presence or hybrid arrangements. Candidates should review specific job postings for remote work policies and requirements.

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.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with knowledge of cloud services such as AWS.

Can I work remotely with a remote amazon computer science degree?

A remote Amazon computer science degree can qualify you for remote roles in software development, data analysis, and technical support at Amazon or other companies. Many tech jobs value relevant skills, certifications, and experience, making remote work feasible if you meet the job requirements and have a suitable home office setup.

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 the most commonly searched types of Amazon Computer Science jobs in South Carolina? The most popular types of Amazon Computer Science jobs in South Carolina are:
What are popular job titles related to Remote Amazon Computer Science jobs in South Carolina? For Remote Amazon Computer Science jobs in South Carolina, the most frequently searched job titles are:
What cities in South Carolina are hiring for Remote Amazon Computer Science jobs? Cities in South Carolina with the most Remote Amazon Computer Science job openings:
Infographic showing various Remote Amazon Computer Science job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Principal Cloud and Data Engineering Architect Consultant (Remote)

Serigor, Inc.

Columbia, SC • On-site, Remote

Full-time

Posted 2 days ago

New


Job description

Job Title: Principal Cloud and Data Engineering Architect Consultant (Remote)
Location: Columbia, SC
Duration: 12+ Months
Job Description:
The consultant will provide technical architecture expertise across Azure cloud services, enterprise integration patterns, API management, data platforms, DevOps practices, and cloud governance. This role will work closely with enterprise architects, application teams, infrastructure teams, cybersecurity, vendors, and business stakeholders to ensure solutions are scalable, secure, maintainable, and aligned with enterprise technology strategy.
Daily Duties / Responsibilities:
  • Lead the architecture, design, and implementation of enterprise Azure cloud solutions supporting the Client modernization initiatives.
  • Design and establish scalable cloud-native integration patterns utilizing APIs, event-driven architecture, data integration, and Azure platform services.
  • Provide technical leadership and architecture guidance to development teams, project teams, and implementation partners throughout the solution lifecycle.
  • Develop and maintain cloud architecture standards, technical documentation, governance practices, and solution recommendations aligned with enterprise objectives.
  • Collaborate with business stakeholders, enterprise architects, infrastructure, cybersecurity, and vendors to deliver secure, reliable, and scalable enterprise solutions.
  • Mentor technical staff and support knowledge transfer while promoting cloud engineering best practices and continuous improvements.

Required Education:
  • Bachelor's degree in computer science, Information Technology, Engineering Data Science, or a related technical field. An equivalent combination or relevant education, professional certifications, and progressively responsible experience may be considered in lieu of the degree requirement.

Required Skills (must include years of experience, in order of importance)
  • Minimum of 10 years of experience designing, developing and implementing enterprise technology solutions.
  • Minimum of 7 years of experience designing and implementing cloud solutions and cloud-native architectures using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or comparable enterprise cloud platforms.
  • Demonstrated experience designing enterprise integration solutions utilizing REST APIs, event-driven architecture, asynchronous messaging, and distributed systems.
  • Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies.
  • Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, DevOps practices, and development automation using tools such as Terraform, Bicep, ARM templates, or equivalent technologies.
  • Strong understanding of cloud security, identity and access management, scalability, performance optimization, monitoring, and operational support.
  • Experience establishing cloud architecture standards, technical design pattern, governance practices, and solution documentation.

Preferred Skills (Rank in order of Importance):
  • Experience integrating SAP, SAP S/4HANA, ERP platforms, HR systems, or enterprise financial applications.
  • Experience supporting large-scale government, public-sector, or highly regulated technology environments.
  • Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or other ERP systems.
  • Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns.
  • Microsoft Azure, TOGAF, or comparable cloud and enterprise architecture certifications.

Preferred Certifications:
  • Azure Solutions Architect Expert
  • Azure Developer Associate
  • Azure Data Engineer Associate
  • TOGAF or equivalent Enterprise Architecture Certification.