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Google Software Engineer Jobs in Oregon (NOW HIRING)

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

Staff Software Engineer

OR · On-site +1

$180K - $200K/yr

What You'll Do As Staff Software Engineer with Imagine Pediatrics, you will be responsible for ... Experience delivering mobile, digital products to the Apple and Google Play app store is a plus

Senior Software Engineer, Applications

OR · On-site +1

$122K - $161K/yr

Senior Software Engineer, Applications AcuityMD is a software and data platform that accelerates ... google cloud services, or equivalent technologies * Curious mind and enjoy learning about and ...

A Software Engineer in Platform Operations is responsible for helping design, build, and operate ... Working knowledge of public clouds, particularly Google Cloud Platform (GCP) or Amazon Web Services ...

Work closely with the Google Gemini team on initiatives designed to bring NextIQ capabilities into ... RequirementsBasic Qualifications * 7-10+ years of relevant software engineering experience , with ...

As a Software Engineer on the Serving team at Liftoff, you will: * Take end-to-end ownership of ... Join a nimble, consistently excellent, and experienced engineering team (former Google/LI/Ooyala ...

Software Engineer - Senior

Lake Oswego, OR · On-site

$126K - $166K/yr

Job Title: Software Engineer - Senior Location: Lake Oswego, OR Duration: 6 month (may extend ... Angular, Ajax, CSS, JavaScript, Google Web Toolkit, etc.) Java and J2EE development and analysis ...

About the Role The Revenue Cycle Management (RCM) team is seeking a Staff Software Engineer to lead ... Leverage experience with cloud platforms (AWS, Azure, Google Cloud, etc.) to design cloud-native ...

As a Software Engineer on the Distribution Platform team at Upstart, you will be instrumental in ... Professional experience with digital advertising platforms like Google Ads or Meta Ads

Senior Software Engineer, Infrastructure

OR · On-site +1

$155K - $250K/yr

Senior Software Engineer, Infrastructure AcuityMD is a software and data platform that accelerates ... Google Cloud Platform * Terraform * Python, Go, and/or JavaScript (TypeScript) * Building and ...

Sr. Software Engineer II, Platform/API

OR · On-site +1

$140K - $190K/yr

We're hiring a Sr. Software Engineer II to own the service layer it runs on. You'll own how those ... such as Google Cloud Platform and Kubernetes * Extend onboarding to new markets, brands, and ...

$120K - $159K/yr

NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform ... software engineering skills: ability to translate functional requirements into an elegant and ...

Principal Software Engineer

OR · On-site +1

$200K - $220K/yr

What You'll Do As Principal Software Engineer with Imagine Pediatrics, you will shape technical ... Experience delivering mobile, digital products to the Apple and Google Play app store; experience ...

Senior Software Engineer (Pulse)

OR · On-site +1

$122K - $161K/yr

Contribute to improving software engineering best practices. * Part of an on-call rotation with ... Google Logging and Cloud Trace, troubleshooting regression tests in different environments ...

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Showing results 1-20

Google Software Engineer information

See Oregon salary details

$67.1K

$156K

$217.3K

How much do google software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for google software engineer in Oregon is $155,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $182,900.00 per year, depending on experience, location, and employer.

What is a Google software engineer?

A Google Software Engineer is responsible for designing, developing, testing, and maintaining software solutions that power Google's products and services. They work on large-scale systems, collaborate with cross-functional teams, and use languages like C++, Java, and Python. Engineers at Google solve complex technical challenges and contribute to high-performance, scalable applications.

What does a Google software engineer do?

Google Software Engineers typically work in cross-functional teams alongside product managers, UX designers, and other engineers. You'll regularly participate in code reviews, design discussions, and agile ceremonies to ensure the delivery of high-quality software. Collaboration often extends beyond the immediate team, offering opportunities to share knowledge, mentor peers, and contribute to company-wide technical initiatives. This team-oriented approach allows engineers to learn from different perspectives, accelerate their growth, and deliver more impactful solutions.

What are the key skills and qualifications needed to thrive as a Google software engineer?

To thrive as a Google Software Engineer, you need strong skills in computer science fundamentals, programming (particularly in languages like Java, C++, or Python), and a relevant degree or equivalent experience. Familiarity with advanced development tools, distributed systems, cloud infrastructure (such as Google Cloud Platform), and sometimes technical certifications is highly valued. Excellent problem-solving abilities, communication, and teamwork are standout soft skills in this environment. These skills are essential for building scalable products, collaborating in high-impact teams, and driving innovation at a large tech company.

Does Google still hire software engineers?

Yes, Google continues to hire software engineers to support its technology development, product teams, and infrastructure. The company regularly posts job openings requiring skills in programming, data structures, and cloud technologies, and the hiring process typically involves technical interviews and coding assessments.

Is it hard to get a job at Google as a software engineer?

Getting a software engineering job at Google is competitive, requiring strong technical skills, including proficiency in algorithms, data structures, and coding in languages like Python or C++. Candidates typically go through multiple interview rounds assessing problem-solving, system design, and technical knowledge. A solid educational background and relevant experience can improve chances, but the process remains rigorous due to high standards and demand for top talent.

What are the most commonly searched types of Google Software Engineer jobs in Oregon?

The most popular types of Google Software Engineer jobs in Oregon are:

What cities in Oregon are hiring for Google Software Engineer jobs?

Cities in Oregon with the most Google Software Engineer job openings:

Infographic showing various Google Software Engineer job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $155,975 per year, or $75 per hour.

Software Engineer (US-Remote)

Gnostech LLC

OR • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

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Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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