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Google Software Engineer Jobs in Charleston, SC (NOW HIRING)

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

... software would work) Klaviyo, Loop or similar subscription platforms, Shopify 3PL systems • ... Experience with marketing data pipelines (Google Ads, Meta, TikTok) * Experience building reverse ...

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Experience integrating and modeling data from (not exactly similar software would work) Klaviyo ... Experience with marketing data pipelines (Google Ads, Meta, TikTok) * Experience building reverse ...

Coordinate with the CTO, designers, and developers * Assist the Customer Success Team as required ... Proven experience with collaboration software, Google Workplace a plus * Proven experience with CRM ...

Coordinate with the CTO, designers, and developers * Assist the Customer Success Team as required ... Proven experience with collaboration software, Google Workplace a plus * Proven experience with CRM ...

... Engineers' brand awareness, business development efforts, recruitment initiatives, and overall ... Google Analytics, Adobe Creative Suite, Canva, HubSpot, Mailchimp, or similar marketing software is ...

New

... Engineers' brand awareness, business development efforts, recruitment initiatives, and overall ... Google Analytics, Adobe Creative Suite, Canva, HubSpot, Mailchimp, or similar marketing software is ...

New

Showing results 21-40

Google Software Engineer information

See Charleston, SC salary details

$59.4K

$138.1K

$192.3K

How much do google software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for google software engineer in Charleston, SC is $138,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $161,900.00 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.
What are the most commonly searched types of Google Software Engineer jobs in Charleston, SC? The most popular types of Google Software Engineer jobs in Charleston, SC are:
What are popular job titles related to Google Software Engineer jobs in Charleston, SC? For Google Software Engineer jobs in Charleston, SC, the most frequently searched job titles are:
What cities near Charleston, SC are hiring for Google Software Engineer jobs? Cities near Charleston, SC with the most Google Software Engineer job openings:
Infographic showing various Google Software Engineer job openings in Charleston, SC as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $138,055 per year, or $66.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, SC • Remote

Full-time

Re-posted 17 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.