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Remote Software Engineer Manager Jobs in South Carolina

LPL Financial

AVP, Software Engineering

Fort Mill, SC · On-site +1

$154K - $257K/yr

Reporting to an Application Development Manager, this role works closely with business partners ... Partner with architects and engineering teams to design solutions aligned with enterprise ...

Gov Solutions Group

Data Engineer

Charleston, SC · Remote

$108K - $130K/yr

... remote position. Responsibilities: * Analyzing use cases and high level requirements to define ... Provide automation through development and deployment of modern software-intensive solutions

New

Cisco

Software Security Lead (Remote)

Columbia, SC · Remote

We own software security across the full range of enterprise technology in scope ... We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ...

New

Cisco

Software Security Lead (Remote)

Columbia, SC · Remote

We own software security across the full range of enterprise technology in scope ... We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ...

New

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Remote Software Engineer Manager information

What is a remote software engineer manager?

A Remote Software Engineer Manager is a technical leader who oversees a team of software engineers working from different locations rather than a centralized office. Their responsibilities include managing project timelines, mentoring developers, facilitating communication, and ensuring the successful delivery of software products. They use digital collaboration tools to coordinate their teams, set goals, and monitor progress. This role requires strong leadership, technical expertise, and the ability to foster a positive, productive remote work environment.

What does a remote software engineer manager do?

Remote Software Engineer Managers utilize a mix of regular video meetings, asynchronous communication tools, and clear documentation to maintain team cohesion and productivity. They focus on setting clear expectations, providing timely feedback, and fostering a culture of trust and autonomy despite geographical distances. Additionally, they often implement structured onboarding processes and promote professional growth through virtual mentorship and training, ensuring remote engineers feel connected and supported.

What are the key skills and qualifications needed to thrive as a remote software engineer manager?

To thrive as a Remote Software Engineer Manager, you need a strong background in software development, team leadership experience, and typically a degree in computer science or a related field. Familiarity with project management tools (like Jira or Trello), version control systems (such as Git), and remote collaboration platforms (like Slack and Zoom) is essential. Excellent communication, problem-solving abilities, and the capacity to motivate and guide remote teams distinguish top performers in this role. These skills ensure effective project delivery, cohesive remote teamwork, and the ongoing professional growth of distributed engineering teams.

What is the difference between Remote Software Engineer Manager vs Remote Software Engineer?

AspectRemote Software Engineer ManagerRemote Software Engineer
CredentialsBachelor's/Master's in CS or related field, leadership experienceBachelor's/Master's in CS or related field, technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops code, implements features, collaborates with team
Employer & Industry UsageTech companies, startups, large enterprisesTech companies, startups, software development firms

The main difference is that a Remote Software Engineer Manager oversees teams and projects, focusing on leadership and management, while a Remote Software Engineer primarily writes code and develops software features. Both roles require technical expertise, but the manager also needs leadership skills and experience managing teams.

What are the most commonly searched types of Remote Software Engineer jobs in South Carolina?

The most popular types of Remote Software Engineer jobs in South Carolina are:

What are popular job titles related to Remote Software Engineer Manager jobs in South Carolina?

For Remote Software Engineer Manager jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineer Manager jobs in South Carolina look for?

The top searched job categories for Remote Software Engineer Manager jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Software Engineer Manager jobs?

Cities in South Carolina with the most Remote Software Engineer Manager job openings:

Remote Software Engineer Manager jobs near you
Infographic showing various Remote Software Engineer Manager job openings in South Carolina as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Conway, 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.

Apply