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Google Software Engineer Jobs in Iowa (NOW HIRING)

Google

Data Center Operations Manager

Council Bluffs, IA · On-site

$155K/yr

... that enable developers to build the future. From software to hardware our teams are shaping the ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Baker Group

DevOps Engineer - IT

Ankeny, IA · On-site

$50 - $68.50/hr

The DevOps Engineer will work closely with the software development team and under the guidance of ... No specific requirements: however, relevant certifications in Kubernetes (CKA/CKAD), Google Cloud ...

Pwc

Data Engineer - Senior Associate

Des Moines, IA

$77K - $202K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Pwc

Data Engineer - Senior Manager

Des Moines, IA

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Maximus

Cloud Platform Engineer

Iowa City, IA · On-site

$48.50 - $64.75/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

Maximus

Cloud Platform Engineer

Cedar Rapids, IA · On-site

$54.75 - $73.25/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

Maximus

Cloud Platform Engineer

Waterloo, IA · On-site

$52 - $69.25/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

Maximus

Cloud Platform Engineer

Clinton, IA · On-site

$52.75 - $70.50/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

Maximus

Cloud Platform Engineer

Davenport, IA · On-site

$53 - $70.75/hr

... secure software delivery and platform hardening. - Monitor cloud platforms for performance ... Google). #techjobs #clearance #veteransPage #LI-remote Minimum Requirements TCS165, T3, Band 6 ...

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How much do google software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for google software engineer in Iowa is $138,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $162,500.00 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.

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Google Software Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Davenport, IA • On-site

Other

Re-posted 23 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.

Apply