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Amazon Software Engineer Remote Jobs in Utah (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

West Jordan, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

ACD Direct

Techops Engineer -Senior Level

Farmington, UT · Remote

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Although position is remote employee will be required to visit data center on a quarterly basis. It ... Partner with QA and Software Engineering leads to embed DevSecOps practices into the early stages ...

Circle

Manager, Software Engineering

Salt Lake City, UT · On-site +1

$195K - $257K/yr

Lead agile software processes for engineering teams and introduce best-in-class industry practices ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

Packsize

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Application Security Engineer About the Role Packsize is seeking an experienced Application ... remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud ...

BambooHR

Principal Software Architect

Draper, UT · Remote

This is a remote position available in the state listed on this job. Additionally, employment with ... Looking for a role where you can engineer and architect a product but still have a life outside of ...

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Amazon Software Engineer Remote information

What does an Amazon software engineer do when working remotely?

An Amazon Software Engineer working remotely designs, develops, tests, and maintains software solutions that power Amazon’s products and services. They collaborate with team members using online tools, participate in virtual meetings, and follow Agile development practices. The role involves solving complex technical problems, writing high-quality code, and ensuring scalability and reliability of software systems—all from a remote location. Communication and self-motivation are key to succeeding in this remote position.

What are the key skills and qualifications needed to thrive as an Amazon software engineer remote?

To thrive as an Amazon Software Engineer (Remote), you need strong programming skills (often in Java, C++, or Python), a solid understanding of computer science fundamentals, and typically a bachelor's degree in computer science or related field. Familiarity with AWS services, version control systems like Git, and CI/CD tools such as Jenkins is commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work environments. These skills ensure you can deliver high-quality software solutions, collaborate effectively across distributed teams, and adapt to Amazon's fast-paced, innovative culture.

What are some common challenges faced by remote Amazon software engineers, and how can they be addressed?

Remote Amazon Software Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with globally distributed teams, and ensuring effective collaboration on large-scale projects. To address these challenges, Amazon fosters a culture of documentation, regular virtual meetings, and utilizes tools like Amazon Chime and internal wikis to keep everyone connected. Proactively reaching out to teammates, setting clear expectations, and participating in virtual team-building activities can also help remote engineers stay engaged and aligned with their teams.

What is the difference between Amazon Software Engineer Remote vs Amazon Software Developer Remote?

AspectAmazon Software Engineer RemoteAmazon Software Developer Remote
Required CredentialsBachelor's in CS or related field, coding skills, Amazon interview processBachelor's in CS or related field, coding skills, Amazon interview process
Work EnvironmentRemote, collaborative teams, Agile methodologyRemote, collaborative teams, Agile methodology
Employer & Industry UsageAmazon, tech/software industryAmazon, tech/software industry
Search & Comparison IntentHigh overlap in job duties and requirementsHigh overlap in job duties and requirements

Amazon Software Engineer Remote and Amazon Software Developer Remote roles share similar qualifications, work environments, and industry usage. The main difference lies in job titles used internally and externally, but both involve software development tasks within Amazon's remote teams.

What are the most commonly searched types of Amazon Software Engineer jobs in Utah?

The most popular types of Amazon Software Engineer jobs in Utah are:

What are popular job titles related to Amazon Software Engineer Remote jobs in Utah?

For Amazon Software Engineer Remote jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Amazon Software Engineer Remote jobs in Utah look for?

The top searched job categories for Amazon Software Engineer Remote jobs in Utah are:

What cities in Utah are hiring for Amazon Software Engineer Remote jobs?

Cities in Utah with the most Amazon Software Engineer Remote job openings:

Amazon Software Engineer Remote jobs near you
Infographic showing various Amazon Software Engineer Remote job openings in Utah as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

West Valley City, UT • Remote

$80 - $110/hr

Part-time

Posted 16 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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