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Google Software Engineer Jobs in Remote, OR (NOW HIRING)

AI Engineer

OR · Remote

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Google Gemini) into applications * Experience with RESTful APIs, microservices, and modern software ...

AI Engineer

OR · Remote

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role ... Google Gemini) into applications * Experience with RESTful APIs, microservices, and modern software ...

Data Engineer

OR · On-site

$35 - $40/hr

Job Title: Data Engineer Location: Remote - PST time zone Duration: Contract - 17 months We are ... Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. * Build and ...

Senior Lead DevOps Engineer

OR · Remote

$121K - $156K/yr

This individual will lead the advancement of modern software delivery practices, designing and ... and Google Cloud * Knowledge on how to troubleshoot and resolve technical issues in a test and ...

NETWORK ENGINEER

OR · On-site +1

... and software, uniquely distinguishes APS from other companies in the industry. Role ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

... and software, uniquely distinguishes APS from other companies in the industry. Role ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Google Software Engineer information

See Remote, OR salary details

$63.4K

$147.4K

$205.3K

How much do google software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for google software engineer in Remote, OR is $147,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $172,800.00 per year, depending on experience, location, and employer.

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.

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 algorithms, often emphasizing experience with tools like Python, C++, or Java. Candidates typically go through a rigorous interview process that assesses technical expertise and problem-solving abilities.

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 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.

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

Getting a software engineer position at Google is highly competitive due to the company's rigorous hiring process, which includes multiple technical interviews assessing coding skills, problem-solving, and system design. Candidates typically need strong programming abilities in languages like Python, Java, or C++, along with relevant experience and a solid understanding of algorithms and data structures.
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What job categories do people searching Google Software Engineer jobs in Remote, OR look for? The top searched job categories for Google Software Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Google Software Engineer jobs? Cities near Remote, OR with the most Google Software Engineer job openings:
Infographic showing various Google Software Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $147,378 per year, or $70.9 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.