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Remote Cloud Database Engineer Jobs in Delaware (NOW HIRING)

Maximus

Junior Security Engineer

Seaford, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Dover, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Wilmington, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Middletown, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Smyrna, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Milford, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Maximus

Junior Security Engineer

Newark, DE · Remote

... platforms including cloud environments, operating systems, databases, and network/security ... remote Minimum Requirements TCS055, T1, Band 4 EEO Statement Maximus is an equal opportunity ...

Hologic Inc.

Lead Software Engineer

Newark, DE · On-site +1

$128K - $200K/yr

Hologic is seeking a Lead Software Engineer to help design and develop secure, cloud- and edge ... Ability to work effectively in cross-functional and remote teams. * Commitment to quality ...

Smvsoft LLC.

Golang Engineers

Wilmington, DE · Remote

GoLang Developer family:Calibri,sans -serif">Location : 100% remote Duration : Longterm family ... database management experience using relational and/or NoSql database technologies • Good ...

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Remote Cloud Database Engineer information

What are Remote Cloud Database Engineers?

Remote Cloud Database Engineers are IT professionals who design, implement, manage, and optimize cloud-based databases while working from a remote location. They are responsible for ensuring the reliability, security, and scalability of databases hosted on cloud platforms like AWS, Azure, or Google Cloud. Their work involves database architecture design, data migration, performance tuning, backup and recovery, and troubleshooting. These engineers collaborate with development and operations teams to support applications and services that rely on cloud databases.

What are some common challenges Remote Cloud Database Engineers face when managing distributed database systems?

Remote Cloud Database Engineers often encounter challenges related to ensuring optimal performance, security, and data consistency across distributed environments. Working remotely adds complexity, as it requires effective communication with cross-functional teams and proactive monitoring to quickly address issues. Additionally, keeping up with evolving cloud technologies and best practices is essential for maintaining seamless operations and minimizing downtime. Building strong collaboration habits and leveraging automation tools can help overcome these challenges and contribute to a robust database infrastructure.

What are the key skills and qualifications needed to thrive as a Remote Cloud Database Engineer, and why are they important?

To thrive as a Remote Cloud Database Engineer, you need expertise in database design, management, and optimization, typically backed by a degree in computer science or related field. Familiarity with major cloud platforms (such as AWS, Azure, or Google Cloud), automation tools, and certifications like AWS Certified Database – Specialty are highly valuable. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These capabilities ensure reliable, scalable, and secure database solutions in dynamic cloud environments.
What are the most commonly searched types of Cloud Database Engineer jobs in Delaware? The most popular types of Cloud Database Engineer jobs in Delaware are:
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What cities in Delaware are hiring for Remote Cloud Database Engineer jobs? Cities in Delaware with the most Remote Cloud Database Engineer job openings:
Remote Cloud Database Engineer jobs near you
Infographic showing various Remote Cloud Database Engineer job openings in Delaware as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Middletown, DE • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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