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Amazon Software Engineer Remote Jobs in Battle Ground, WA

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 ...

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 ...

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 ...

Senior DevSecOps Engineer

Portland, OR · Remote

$121K - $166K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... new software platform. With Hyperproof, companies can save time and money while also operating ...

Full-stack Data Engineer (Remote)

Vancouver, WA · Remote

$119K - $144K/yr

As a Data Engineer, you will help design, improve and maintain our ETL processes. Without which we could not perform our investigations. You'll help find reliable and efficient ways to extract data ...

Lead Engineer, AI Attack Simulation

Portland, OR · On-site +1

$108K - $143K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic ...

Leads the configuration of hardware and software solutions. Evaluates product and service solutions ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Leads the configuration of hardware and software solutions. Evaluates product and service solutions ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

Showing results 21-40

Amazon Software Engineer Remote information

See Battle Ground, WA salary details

$67.7K

$157.2K

$219K

How much do amazon software engineer remote jobs pay per year?

As of Aug 17, 2026, the average yearly pay for amazon software engineer remote in Battle Ground, WA is $157,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $184,400.00 per year, depending on experience, location, and employer.

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 job categories do people searching Amazon Software Engineer Remote jobs in Battle Ground, WA look for?

The top searched job categories for Amazon Software Engineer Remote jobs in Battle Ground, WA are:

What cities near Battle Ground, WA are hiring for Amazon Software Engineer Remote jobs?

Cities near Battle Ground, WA with the most Amazon Software Engineer Remote job openings:

Bioinformatics Software Engineer

micro1 AI

Vancouver, WA • Remote

$80 - $110/hr

Part-time

Posted 14 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.