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Google Test Engineer Jobs in Delaware (NOW HIRING)

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Collaborate with and across Agile teams to design, develop, test, implement, and support technical ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

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Google Test Engineer information

See Delaware salary details

$17

$44

$74

How much do google test engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for google test engineer in Delaware is $44.28, according to ZipRecruiter salary data. Most workers in this role earn between $33.46 and $52.45 per hour, depending on experience, location, and employer.

What is a Google Test Engineer?

A Google Test Engineer is responsible for ensuring the quality and reliability of Google's products through rigorous testing and automation. They design test plans, create automated testing frameworks, and collaborate with developers to identify and fix software issues. Test Engineers work with large-scale systems, debugging complex problems, and improving overall product performance. Their role is critical in maintaining Google's high standards for user experience and software quality.

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

To thrive as a Google Test Engineer, you need a solid background in software engineering, programming (such as Python, Java, or C++), and experience with test automation and QA methodologies. Familiarity with test frameworks like Selenium, Appium, or Google’s in-house tools, as well as CI/CD systems and cloud platforms, is commonly expected. Strong communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These qualities are crucial for ensuring product quality, driving efficient testing processes, and working effectively within Google’s fast-paced, innovative teams.

What are some common challenges faced by Google Test Engineers, and how do they overcome them?

Google Test Engineers often work on complex, large-scale software products that require extensive automated and manual testing across multiple platforms. A common challenge is keeping up with rapid development cycles while ensuring test coverage and maintaining high-quality standards. Test Engineers overcome these challenges by collaborating closely with developers and product managers, utilizing advanced automation tools, and participating in regular code reviews and sprint planning. Proactive communication and adaptability help them identify issues quickly and implement solutions efficiently, making them key players in Google's agile development environment.

Does Google hire Google Test Engineers?

Google hires Google Test Engineers to develop and maintain testing frameworks and automation tools for software quality assurance. Candidates typically need experience with testing tools, programming languages like C++ or Python, and familiarity with continuous integration systems. Job openings are posted on Google's careers site and require relevant technical skills and experience.

What are popular job titles related to Google Test Engineer jobs in Delaware?

For Google Test Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Google Test Engineer jobs in Delaware look for?

The top searched job categories for Google Test Engineer jobs in Delaware are:

Infographic showing various Google Test Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $92,106 per year, or $44.3 per hour.

Senior Python Full Stack Engineer - Agentic AI

Wilmington, DE • On-site

Whiz Global LLC
IT Services • 51 - 200 employees

Other

Posted 29 days ago


Job description

Senior Python Full Stack Engineer – Agentic AI

Location: Wilmington, DE
Duration: Contract
Work Model: Hybrid/Onsite as required
Experience: 7+ YearsJob Overview

We are seeking a Senior Python Full Stack Engineer with Agentic AI experience to join the CCB Digital – Connected Banking team. The engineer will work on modern SaaS platforms that are customer-facing and integrate with internal enterprise systems.

The team is actively building AI-powered agents to solve business use cases and improve software development and platform capabilities. The ideal candidate is a strong hands-on software engineer who can contribute to architecture and design discussions, perform code reviews, and develop scalable, production-quality applications.

This is an individual contributor role, not a people-management position.

Key Responsibilities
  • Design, develop, test, and maintain scalable full-stack applications using Python.

  • Build and integrate AI agents and Agentic AI capabilities into enterprise applications.

  • Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.

  • Develop applications and services that integrate with AI agents and LLM-based solutions.

  • Participate in architecture, technical design, and code review discussions.

  • Develop scalable REST APIs and microservices.

  • Build cloud-native applications using AWS and containerized environments.

  • Develop and maintain applications deployed on Kubernetes/Docker platforms.

  • Work with Kafka/event streaming technologies for asynchronous and distributed systems.

  • Design and implement solutions using NoSQL databases.

  • Implement and maintain CI/CD pipelines and automated deployment processes.

  • Write comprehensive unit, integration, and automated tests.

  • Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.

  • Implement application monitoring, alerting, logging, and observability capabilities.

  • Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.

  • Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.

  • Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.

Required Skills & Qualifications
  • 7+ years of professional software engineering experience.

  • Strong hands-on experience with Python development.

  • Strong experience in full-stack software development.

  • Experience building REST APIs, microservices, and cloud-native applications.

  • Hands-on experience with Agentic AI / AI Agents / Generative AI.

  • Experience with one or more of:

    • MCP (Model Context Protocol)

    • Google ADK

    • AI Agent frameworks

    • LLM integrations

    • Applications designed to interact with AI agents

  • Strong experience with AWS is preferred.

  • Experience with Kubernetes and Docker/containerization.

  • Experience with Kafka or other streaming/event-driven technologies.

  • Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.

  • Strong understanding of CI/CD and DevOps practices.

  • Experience with automated testing and unit testing frameworks.

  • Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.

  • Strong understanding of software design, development best practices, and scalable architecture.

  • Experience participating in code reviews and technical design discussions.

  • Strong problem-solving and communication skills.

Preferred Qualifications
  • Experience with AWS cloud services and cloud-native architecture.

  • Experience developing event-driven and distributed systems.

  • Experience with LLM-based application development and AI-powered business solutions.

  • Experience using AI coding assistants/tools for code optimization and developer productivity.

  • Experience with enterprise SaaS platforms.

  • Experience working in large-scale financial services or banking environments.

  • Experience with Agile/Scrum development methodologies.

Ideal Candidate Profile

The ideal candidate is a Senior-level hands-on engineer who combines strong Python/full-stack development skills with modern cloud and AI expertise. Candidates should be comfortable working independently, reviewing code, contributing to technical design decisions, and building production-ready applications involving AI Agents and Agentic AI.

Key Technologies:
Python | Agentic AI | AI Agents | MCP | Google ADK | AWS | Kubernetes | Docker | Kafka | NoSQL | CI/CD | REST APIs | Splunk | Dynatrace | Automated Testing