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Google Engineer Jobs in Oregon (NOW HIRING)

LTS

AI Platform and Harness Engineer

OR · On-site +1

Support deployment of AI services across AWS, Azure, or Google Cloud using containerized and cloud ... Document engineering standards, AI platform architecture, evaluation methodologies, and operational ...

Chainguard

Commercial Sales Engineer

OR · On-site +1

We are seeking an experienced and dynamic Corporate Sales Engineer to join our team. This role is ... Knowledge of cloud platforms (AWS, Azure, Google Cloud) and familiarity with cloud and containers ...

SAIC

Deskside support Engineer

Salem, OR

Experience supporting Active Directory, MS Office Suite, Google Workspace for Enterprise, Bomgar, VPN, SCCM, VTC, Zoom needed. Escalates complex problems to upper-level deskside engineers. Must have ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Experience supporting Active Directory, MS Office Suite, Google Workspace for Enterprise, Bomgar, VPN, SCCM, VTC, Zoom needed. Escalates complex problems to upper-level deskside engineers. Must have ...

Endava

Forward Deployed Engineer (Palantir)

By combining world-class engineering, industry expertise and a people-centric mindset, we consult ... Strong understanding of Google Cloud Platform (GCP) services including BigQuery, Cloud Storage ...

Striim, Inc.

Field Engineer (English/Spanish)

OR · On-site +1

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... Knowledge of Snowflake, Google BigQuery, Databricks, or modern cloud data platforms is preferred.

SAIC

Deskside support Engineer

Salem, OR · On-site

Experience supporting Active Directory, MS Office Suite, Google Workspace for Enterprise, Bomgar, VPN, SCCM, VTC, Zoom needed. Escalates complex problems to upper-level deskside engineers. Must have ...

Cyber74

Security / AI Cloud Engineer

OR · On-site +1

$110K - $130K/yr

... AI Cloud Engineer to help launch it. In this role, you will work at the intersection of cloud ... Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Google Gemini, or similar * Experience ...

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Showing results 21-40

All JobsGoogle Engineer JobsGoogle Engineer Jobs in Oregon

Google Engineer information

See Oregon salary details

$41.2K

$107.6K

$145.4K

How much do google engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for google engineer in Oregon is $107,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $123,200.00 per year, depending on experience, location, and employer.

What does a Google engineer do?

A Google Engineer is a professional who designs, develops, tests, and maintains software and systems used by Google. They work on a wide range of projects, from search algorithms to cloud infrastructure, mobile apps, and cutting-edge AI technologies. Google Engineers collaborate in teams, solve complex technical problems, and contribute to products that impact billions of users worldwide. Their work environment emphasizes innovation, scalability, and high performance.

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

To thrive as a Google Engineer, you generally need strong programming skills (commonly in Python, Java, or C++), a solid foundation in computer science concepts, and at least a bachelor's degree in a related field. Familiarity with Google's internal tools, cloud platforms like Google Cloud, and industry-standard development environments is typical, and relevant certifications can be advantageous. Creative problem-solving, effective teamwork, and strong communication skills help engineers excel in collaborative and fast-paced environments. These skills and qualities are crucial for building scalable, high-quality products, innovating continuously, and contributing to Google's dynamic engineering culture.

How do Google engineers typically collaborate across teams to solve complex problems?

At Google, engineers often work in highly collaborative, cross-functional teams that include product managers, designers, and other engineers from different specialties. Regular meetings, code reviews, and design discussions are common to ensure alignment and to leverage diverse expertise. Collaboration tools like Google Workspace, version control systems, and internal documentation platforms help streamline communication and project management. This environment encourages sharing knowledge and best practices, enabling engineers to tackle complex technical challenges more effectively. New hires can expect to participate in both team-specific and company-wide initiatives, fostering continuous learning and innovation.

What is the difference between Google Engineer vs Software Engineer?

AspectGoogle Engineer

Required CredentialsBachelor's or Master’s in Computer Science or related field, coding skills, technical interviews
Work EnvironmentInnovative tech company, collaborative teams, fast-paced projects
Employer & IndustryGoogle, tech industry, software development

Google Engineers are specialized software developers working at Google, often involved in large-scale projects and cutting-edge technology. Software Engineers is a broader term used across many companies and industries, encompassing various roles in software development. While both roles require strong coding skills and similar qualifications, Google Engineers typically work within Google's unique environment and culture. The main difference lies in the specific employer and scope of projects, with Google Engineers focusing on Google's products and infrastructure.

Is it hard to become a Google engineer?

Becoming a Google engineer typically requires a strong background in computer science, programming skills in languages like Python or C++, and experience with algorithms and data structures. Candidates often need a bachelor's degree or higher, relevant technical experience, and to pass rigorous technical interviews that assess problem-solving and coding abilities.

What cities in Oregon are hiring for Google Engineer jobs?

Cities in Oregon with the most Google Engineer job openings:

Google Engineer jobs near you
Infographic showing various Google Engineer job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $107,581 per year, or $51.7 per hour.

AI Platform and Harness Engineer

LTS

OR • On-site, Remote

Full-time

Posted 20 days ago

Job description

LTS is seeking an AI Platform and Harness Engineer to develop and maintain the infrastructure, tooling, and evaluation frameworks that power enterprise AI solutions. This role is responsible for building the AI platform and reusable "AI harnesses" that enable Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at scale.

The ideal candidate has experience with AI platforms, LLMOps, software engineering, cloud-native technologies, and backend systems, along with a passion for building reliable, observable, and production-ready AI solutions. You will work closely with AI architects, software engineers, data scientists, and product teams to ensure AI solutions are scalable, secure, cost-effective, and continuously improving.

What You'll Do:

  • Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications.
  • Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance.
  • Build AI evaluation frameworks to measure model accuracy, retrieval quality, hallucination detection, latency, throughput, cost, and overall application performance.
  • Implement observability and monitoring solutions for AI applications, including telemetry, tracing, logging, dashboards, and operational metrics.
  • Build and maintain LLMOps pipelines supporting model deployment, versioning, evaluation, experimentation, rollback, and continuous improvement.
  • Design automated workflows for prompt testing, retrieval evaluation, AI system validation, and performance benchmarking.
  • Develop internal tools for prompt management, model experimentation, AI performance optimization, and developer productivity.
  • Build scalable backend services and APIs supporting AI platforms and enterprise AI integrations.
  • Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector databases, and agentic AI solutions into enterprise applications.
  • Support deployment of AI services across AWS, Azure, or Google Cloud using containerized and cloud-native architectures.
  • Implement CI/CD pipelines and infrastructure automation supporting enterprise AI development and deployment.
  • Apply security, governance, and Responsible AI controls throughout the AI development lifecycle.
  • Evaluate emerging AI frameworks, LLMOps technologies, evaluation methodologies, and automation tools to improve engineering productivity.
  • Troubleshoot production AI issues and continuously improve platform reliability, scalability, security, and user experience.
  • Document engineering standards, AI platform architecture, evaluation methodologies, and operational best practices.

What We're Looking For:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.
  • 5+ years of experience in software engineering, platform engineering, backend engineering, DevOps, cloud engineering, or infrastructure engineering.
  • 2+ years building or supporting Generative AI, Large Language Model (LLM), or machine learning applications.
  • Strong programming experience in Python.
  • Experience developing APIs, backend services, and distributed systems.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
  • Experience deploying applications using Docker and Kubernetes.
  • Experience working with Git, CI/CD pipelines, Infrastructure as Code (IaC), and infrastructure automation.
  • Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt engineering, Embeddings, Vector databases, AI agents and agentic workflows
  • Familiarity with AI evaluation techniques, automated testing, benchmarking, regression testing, and model validation.
  • Experience building scalable, production-grade software platforms.
  • Strong problem-solving, debugging, and performance optimization skills.

Nice to Have:

  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen.
  • Experience implementing LLMOps or MLOps platforms and deployment pipelines.
  • Experience with AI observability tools such as LangSmith, OpenTelemetry, Prometheus, Grafana, Evidently AI, or Arize AI.
  • Experience with vector databases including Pinecone, Qdrant, Weaviate, Azure AI Search, or pgvector.
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Google Vertex AI, or similar enterprise AI platforms.
  • Experience implementing Responsible AI, AI governance, model security, and AI safety best practices.
  • Experience supporting Federal Government or other regulated environments.
  • Experience evaluating AI systems for quality, reliability, accuracy, explainability, latency, and cost optimization.
  • Familiarity with healthcare, enterprise modernization, or mission-critical systems.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!

Apply