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Software Developer Manager Jobs in Pooler, GA (NOW HIRING)

Cost & Efficiency Management * Optimize token usage and API calls. * Implement caching and ... Professional Experience * 3-7 years of experience in software engineering, AI engineering, or ...

Electrical Engineer Sr

Rincon, GA · On-site

$97K - $127K/yr

Power Generation Engineers manage capital and O&M projects, follow prescribed procedures and ... Knowledge and experience with personal computers and the ability to learn numerous software ...

... Engineering, or Landscape Architecture and possess 4+ years of experience in project management. In ... Proficiency in MS Office, AutoCAD/Microstation, MS Project, and other relevant software

... Engineering, or Landscape Architecture and possess 4+ years of experience in project management. In ... Proficiency in MS Office, AutoCAD/Microstation, MS Project, and other relevant software

Based on experience and will be discussed with manager in interview Duties/Responsibilities ... Exposure to relevant software such as MicroStation, HEC-RAS, or stormwater modeling tools preferred ...

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Software Developer Manager information

See Pooler, GA salary details

$10K

$126.5K

$147.2K

How much do software developer manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for software developer manager in Pooler, GA is $126,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $138,500.00 per year, depending on experience, location, and employer.

How does a Software Developer Manager typically balance hands-on coding with leadership responsibilities?

A Software Developer Manager often splits their time between technical tasks and managerial duties. While they may participate in code reviews, technical planning, and occasionally contribute code, a significant portion of their role involves mentoring team members, facilitating collaboration, and aligning projects with business objectives. Balancing these responsibilities requires strong time management and delegation skills, as well as the ability to adapt to the needs of both the team and the organization. This hybrid focus allows manager-developers to stay technically engaged while guiding the team's growth and productivity.

What is a Software Developer Manager?

A Software Developer Manager is a professional who leads and oversees a team of software developers, guiding them through the design, development, and maintenance of software applications. They are responsible for managing project timelines, setting goals, and ensuring the team delivers high-quality code. In addition to technical expertise, they must possess strong leadership, communication, and organizational skills to effectively coordinate between their team and other departments. Their role also often includes mentoring developers, conducting performance reviews, and helping to shape the overall technical strategy of the organization.

What are the key skills and qualifications needed to thrive as a Software Developer Manager, and why are they important?

A Software Developer Manager needs a strong background in software engineering, leadership experience, and typically a degree in computer science or a related field. Familiarity with project management tools (like Jira), version control systems (such as Git), and methodologies like Agile or Scrum is essential, along with relevant certifications. Exceptional communication, team-building, and problem-solving skills help leaders motivate teams and resolve conflicts effectively. These skills ensure efficient project delivery, foster innovation, and maintain high team morale in dynamic tech environments.

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

AspectSoftware Developer ManagerSoftware Engineer
CredentialsBachelor's or Master's in CS or related field; often leadership experienceBachelor's or Master's in CS or related field
Work EnvironmentLeads teams, manages projects, oversees development processesDesigns, develops, tests software solutions
Employer & Industry UsageUsed in tech companies, software firms, and IT departmentsCommon across tech, finance, healthcare, and other industries
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding, and development tasks

The main difference between a Software Developer Manager and a Software Engineer lies in their responsibilities. The manager oversees teams and projects, focusing on leadership and strategic planning, while the Software Engineer concentrates on coding and technical development. Both roles require similar educational backgrounds, but their day-to-day tasks and career focus differ significantly.

What are the most commonly searched types of Software Developer jobs in Pooler, GA? The most popular types of Software Developer jobs in Pooler, GA are:
What cities near Pooler, GA are hiring for Software Developer Manager jobs? Cities near Pooler, GA with the most Software Developer Manager job openings:
Infographic showing various Software Developer Manager job openings in Pooler, GA as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $126,466 per year, or $60.8 per hour.

Other

Posted 4 days ago


Job description

Build Your Career, Impact Your Community, Join Our Colonial Family!
 
Join one of the largest independent oil companies in the Southeast and become a member of our Family of Companies, a Century of Service! The global supply chain affects everyone, help keep the world moving by making a direct impact in a fulfilling industry.

POSITION SUMMARY

Our Information Technology team is seeking an IT AI Engineer, who supports the development of AI-powered tools and automation workflows.   As a Mid-Level AI Engineer, this resource builds and maintains AI-powered workflows and agents that integrate with business systems. This role focuses on process optimization, solution/platform guidance, implementing practical AI solutions, and optimizing system performance and cost efficiency.

This resource will actively engage with business users to educate and evangelize the utilization of AI for practical improvement of process.  You will work closely with IT and the business to develop solutions to advance the utilization of our AI platforms.

JOB EXPECTATIONS/DUTIES

AI Agent Development

  • Build and maintain simple AI agents and automation workflows.
  • Implement agent capabilities such as tool usage, task execution, and structured outputs.
  • Design prompt strategies to guide model behavior and improve reliability.

Integration & Tooling

  • Integrate AI agents with external APIs and internal services.
  • Connect agents to SQL databases and data sources.
  • Develop backend services supporting agent functionality.

Prompt & Workflow Optimization

  • Experiment with prompt engineering techniques.
  • Design and refine multi-step AI workflows.
  • Improve system reliability through iteration.

Evaluation & Monitoring

  • Evaluate model responses using defined metrics.
  • Identify failure cases and implement improvements.
  • Monitor system performance and usage.

Cost & Efficiency Management

  • Optimize token usage and API calls.
  • Implement caching and efficient prompt design.
  • Help maintain predictable operational costs

QUALIFICATIONS/REQUIREMENTS

Technical Skills

  • Experience with Python, JavaScript, or TypeScript.
  • Experience integrating REST APIs and services.
  • Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI).
  • Knowledge of prompt engineering techniques.
  • SQL experience for querying and integrating data.
  • Understanding of workflow orchestration concepts.

Professional Experience

  • 3–7 years of experience in software engineering, AI engineering, or automation development.
  • Experience building LLM-powered tools or automation workflows.

What Success Looks Like

  • Builds reliable AI agents used in production.
  • Integrates AI with real business tools and data.
  • Improves output quality through prompt iteration and evaluation.
  • Keeps AI system costs under control.