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Summer Python Developer Google Jobs in Georgia (NOW HIRING)

Krest Global Solutions

DevOps Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

We are looking for a skilled and proactive DevOps Engineer with a strong background in Google Cloud ... Proficient in scripting languages such as Python , Bash , or Go . * Familiarity with monitoring and ...

AWSPRODVK1

Java Developer

Marietta, GA · On-site

... website], or Python are essential for this role. We value individuals who possess excellent ... Work with modern tools including Trello, Slack, GitHub, GitLab, Google Docs, etc. Requirements

CEDENT

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data ... Google Cloud Platform (GCP). -Proficient in BigQuery, LookML, Python, PySpark, and SQL for data ...

Cedent

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data ... Google Cloud Platform (GCP). -Proficient in BigQuery, LookML, Python, PySpark, and SQL for data ...

CEDENT

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data ... Google Cloud Platform (GCP). -Proficient in BigQuery, LookML, Python, PySpark, and SQL for data ...

Carter Support Services

Software Developer

Atlanta, GA · On-site

Proficiency in one or more programming languages (e.g., JavaScript, Python, C#, Java) * Experience ... Exposure to cloud platforms (Azure, AWS, or Google Cloud) * Knowledge of CI/CD pipelines and DevOps ...

Tata Consultancy Services

Senior GCP Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Tata Consultancy Services is seeking a Senior GCP Data Engineer to leverage their expertise in Google Cloud Platform and Python. The role involves building and maintaining data pipelines, optimizing ...

Carter Support Services

Software Developer

Atlanta, GA · On-site

Proficiency in one or more programming languages (e.g., JavaScript, Python, C#, Java) * Experience ... Exposure to cloud platforms (Azure, AWS, or Google Cloud) * Knowledge of CI/CD pipelines and DevOps ...

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All JobsSummer Python Developer Google JobsSummer Python Developer Google Jobs in Georgia

Summer Python Developer Google information

Is 23 dollars an hour good for an internship?

For a Summer Python Developer internship, $23 an hour is generally considered competitive, especially for entry-level roles that require programming skills and familiarity with tools like Python and Git. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills, making $23 a solid rate for many regions and organizations.

How to get a job in Google as a Python developer?

To secure a Python developer role at Google, candidates should have strong programming skills in Python, experience with data structures and algorithms, and familiarity with software development best practices. Building a solid portfolio, contributing to open-source projects, and preparing for technical interviews are also essential steps in the hiring process.

Does Google hire through GSoC?

Google Summer of Code (GSoC) is a program that offers students the opportunity to contribute to open-source projects, including some affiliated with Google. While GSoC participants may gain experience and recognition, it is not a direct hiring pathway for Google employment, and Google does not guarantee job offers through the program. However, participating can enhance a candidate's profile for future job applications at Google or other tech companies.

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

How much does Google pay summer interns?

Google's summer Python Developer interns typically receive a competitive stipend, often ranging from $7,000 to $8,000 per month, depending on location and experience. Interns also benefit from housing stipends, mentorship, and access to Google's resources during the internship period.
What are the most commonly searched types of Python Developer Google jobs in Georgia? The most popular types of Python Developer Google jobs in Georgia are:
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What job categories do people searching Summer Python Developer Google jobs in Georgia look for? The top searched job categories for Summer Python Developer Google jobs in Georgia are:
Summer Python Developer Google jobs near you

Google Cloud AI Solutions Architect, Gemini Enterprise

The Data Sherpas

Atlanta, GA • On-site

$61 - $83.75/hr

Full-time

Posted 27 days ago

Job description

Google Cloud AI Solutions Architect, Gemini Enterprise
Overview
We are seeking a hands-on Google Cloud AI Solutions Architect to design, build, configure, and implement Gemini Enterprise and agentic AI solutions for end clients. This is a client-facing technical delivery role focused on applied AI/ML implementation, not sales.
The right candidate will have strong Google Cloud experience, hands-on Gemini Enterprise or Google Cloud generative AI implementation experience, and the ability to translate client workflows into secure, scalable, production-ready AI solutions. This person should be comfortable moving between architecture, coding, prototyping, configuration, integration, and client-facing technical delivery.
Responsibilities
  • Design, build, configure, and implement Gemini Enterprise solutions for end clients.
  • Develop AI agent workflows that support business use cases, internal processes, enterprise automation, and operational workflows.
  • Build prototypes and proofs of concept that can be iterated into production-ready solutions.
  • Design and implement applied AI/ML solutions using Gemini Enterprise, Vertex AI, and related Google Cloud AI services.
  • Build and deploy LLM-powered applications, AI agents, retrieval-augmented generation workflows, and enterprise AI integrations.
  • Evaluate model options, agent patterns, grounding strategies, retrieval approaches, and integration paths based on client use cases.
  • Configure and deploy Gemini Enterprise agents, integrations, and related Google Cloud AI services.
  • Integrate AI agents with enterprise systems, data sources, APIs, and business applications.
  • Lead technical discovery with clients and translate requirements into solution architecture and implementation plans.
  • Develop scripts, connectors, workflows, or lightweight applications needed to support AI agent implementation.
  • Support model evaluation, prompt optimization, testing, validation, troubleshooting, and production readiness.
  • Apply best practices for cloud security, IAM, data governance, responsible AI, monitoring, and enterprise deployment.
  • Communicate technical recommendations clearly to client engineering, data, security, cloud, and business stakeholders.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Machine Learning, or a related field; equivalent practical experience will also be considered.
  • 5+ years of experience in cloud architecture, AI/ML solution architecture, technical consulting, solution architecture, software engineering, or hands-on client-facing technical delivery.
  • 3+ years of experience working with Google Cloud Platform.
  • Google Cloud Professional Cloud Architect or Google Cloud Professional Machine Learning Engineer certification.
  • Hands-on experience implementing Gemini Enterprise or Google Cloud generative AI solutions.
  • Hands-on experience designing or implementing AI/ML solutions using Google Cloud AI services, including Vertex AI, Gemini, Gemini Enterprise, Agent Builder, Agent Development Kit, or related tools.
  • Experience building, configuring, deploying, or integrating AI agents, generative AI applications, LLM-powered applications, or enterprise AI workflows.
  • Experience building agentic AI workflows using Google Cloud Agent Development Kit, Vertex AI Agent Engine, Agent Builder, or related agent development tools.
  • Experience with core agentic AI implementation patterns such as retrieval-augmented generation, prompt engineering, tool use/function calling, API integrations, enterprise system integration, and/or multi-agent workflows.
  • Experience with LLM application development, embeddings, model evaluation, prompt optimization, and production AI/ML implementation patterns.
  • Strong understanding of Google Cloud AI and data services, such as Vertex AI, Gemini, Gemini Enterprise, BigQuery, BigQuery ML, Cloud Functions, Cloud Run, APIs, IAM, and related services.
  • Ability to code, script, prototype, and troubleshoot technical solutions in client environments.
  • Experience working directly with enterprise clients or internal business stakeholders to gather requirements and implement technical solutions.
  • Strong understanding of cloud security, IAM, data governance, responsible AI, and enterprise deployment best practices.
  • Excellent communication skills with the ability to explain complex technical concepts clearly.
  • Must be a U.S. Citizen.

Preferred Skills
  • Google Cloud Generative AI Leader certification.
  • Experience as a Forward Deployed Engineer, Solutions Architect, AI Architect, ML Engineer, Customer Engineer, Technical Consultant, or hands-on implementation architect.
  • Experience with Python, JavaScript, TypeScript, or similar programming languages.
  • Experience with data integration, workflow automation, enterprise applications, embeddings, vector search, semantic search, model grounding, enterprise search, or retrieval-augmented generation pipelines.
  • Experience in consulting, systems integration, professional services, or client-facing technical delivery.
  • Familiarity with infrastructure as code, CI/CD, containers, serverless architecture, and cloud-native application deployment.

Additional Information
This position is open to direct candidates only. We are not working with third-party agencies, subcontractors, or C2C arrangements for this role.
Candidates must be U.S. Citizens.

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