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

Lead Software Developer

OR · On-site +1

$108K - $136K/yr

The Role As a Senior Lead Software Engineer, you will be at the forefront of our AI initiatives ... Google Cloud Platform (GCP) * Core AI/ML Concepts * Familiarity with Copilot Studio and Goodle ADK ...

Remain a resource during programming to maintain engagement throughout treatment. Qualifications ... Proficiency with cloud-based communication and software-Slack, Dropbox, Gmail, Zoom, Google Drive ...

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 Jul 1, 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 the typical collaboration look like for a Google Software Engineer?

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 is a Google Software Engineer job?

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 in the Google Software Engineer position, and why are they important?

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.

What are popular job titles related to Google Software Engineer jobs in Remote, OR? For Google Software Engineer jobs in Remote, OR, the most frequently searched job titles are:
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:
Senior Principal, AI Software Engineer- Agentic & Industry Solutions - Full Time Role

Senior Principal, AI Software Engineer- Agentic & Industry Solutions - Full Time Role

Technology Management Solutions

OR • Remote

$205K - $360K/yr

Contractor

Medical, Dental, Vision, Retirement

Posted yesterday


Job description

Job Description

Role: Senior Principal, AI Software Engineer- Agentic & Industry Solutions

Location- TX (Remote)

Role Type: Fulltime

Salary: $205200.00 - $360800.00 per yearly

Job Description

Be the one building AI-powered experiences where they matter most.

Senior Principal, AI Software Engineer- Agentic & Industry Solutions

Qualifications:

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related discipline; Master's degree preferred

10+ years of experience in software engineering, solution architecture, enterprise integration, or cloud-native application development

5+ years of experience designing and implementing AI, Conversational AI, automation, or workflow orchestration solutions

Strong hands-on development experience building scalable enterprise applications

Proven ability to move solutions from concept and prototype through production deployment

Demonstrated technical leadership skills and ability to mentor engineers and architects

Strong communication and stakeholder engagement skills with ability to collaborate across Product, Engineering, and Strategic Customer teams

Experience building Agentic AI platforms, copilots, virtual agents, digital assistants, or intelligent automation solutions

Experience creating reusable solution accelerators, frameworks, and industry-specific assets

Understanding of industry processes within Financial Services, Healthcare, Insurance, Retail, Telecommunications, or Public Sector is a plus

Contributions to technical communities, open-source projects, patents, or innovation initiatives is a plus

Candidates must have willingness to travel as necessary; a valid passport is required

Technical proficiency in the following is not necessary, but a plus:

- Genesys Cloud Architecture, AI Studio, Copilot, Architect, Journey Management, Experience Orchestration, APIs and Event Frameworks

- Multi-Agent Systems, AI Skills and Agent Development, LLM Integration, RAG Architectures, Knowledge Systems, AI Workflow Automation

- AI Frameworks such as LangGraph, CrewAI, Semantic Kernel, LangChain, AutoGen, OpenAI APIs, Anthropic APIs, AWS Bedrock

- Python, JavaScript/TypeScript, REST APIs, Event-Driven Architectures, Microservices, Cloud platforms (AWS, Azure, Google Cloud)

- Expertise with RAG architectures, vector databases, knowledge orchestration, and enterprise search solutions

- Experience integrating AI solutions with CRM, ERP, Service Management, and enterprise workflow platforms

Note

Purpose:

The Principal Architect and AI Engineer - Agentic & Industry Solutions is a highly technical, hands-on leader responsible for designing, building, and scaling transformative AI-powered solutions on Genesys Cloud. Working within the Innovation Solutions organization, this role drives the development of reusable Agentic AI capabilities, industry-specific solution accelerators, and intelligent workflow automation that enable organizations to fundamentally transform customer and employee experiences. The Principal Architect and AI Engineer provides technical leadership and expertise across architecture, development, and solution delivery, collaborating with Product, Engineering, Strategic Customers, Industry SMEs, and Technology Partners to convert emerging AI technologies into scalable, market-leading solutions.

Benefits:

- Medical, Dental, and Vision Insurance.

- Telehealth coverage

- Flexible work schedules and work from home opportunities

- Development and career growth opportunities

- Open Time Off in addition to 10 paid holidays

- 401(k) matching program

- Adoption Assistance

- Fertility treatments

Additional Information

All your information will be kept confidential according to EEO guidelines.