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Software Developer Manager Jobs in Stockbridge, GA

Lead Software Developer Valorem Reply is an award-winning digital transformation firm focused on ... Collaborate with architects, product managers, and stakeholders. Minimum Requirements * 7+ years of ...

ABOUT THIS POSITION We are seeking an experienced and driven Sr. Software Engineer Manager to lead a high-performing team of software engineers and QA professionals. In this role, you will own ...

Contract Developer - Remote

Atlanta, GA · On-site +1

$48.25 - $64.25/hr

Contract Developer - Remote Full-Stack Software Developer / Systems Integration Engineer Remote | 6 ... schema management • Docker/containerization experience • OAuth2 / Azure AD / Entra ID ...

Software Developer, Python & CFML

Atlanta, GA · On-site

$49.25 - $68/hr

The Software Developer role is integral to the success of Euna Grants as a key member of the ... Strong experience with database design and management using SQL (Microsoft SQL Server & PostgreSQL)

Software Developer, Python & CFML

Atlanta, GA · Hybrid

$49.25 - $68/hr

The Software Developer role is integral to the success of Euna Grants as a key member of the ... Strong experience with database design and management using SQL (Microsoft SQL Server & PostgreSQL)

Java Software Developer

Atlanta, GA

$49 - $63.50/hr

Communicating with project manager and development team members in various forms, such as excel ... Expertise with the Eclipse IDE and/or IBM Rational Application Developer, and related Java build ...

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Software Developer Manager information

See Stockbridge, GA salary details

$9.4K

$118.7K

$138.1K

How much do software developer manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for software developer manager in Stockbridge, GA is $118,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $130,000.00 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 Stockbridge, GA? The most popular types of Software Developer jobs in Stockbridge, GA are:
What cities near Stockbridge, GA are hiring for Software Developer Manager jobs? Cities near Stockbridge, GA with the most Software Developer Manager job openings:
Software Engineering Manager (AI-Enabled)

Software Engineering Manager (AI-Enabled)

IntelliTrans

Atlanta, GA • On-site

Full-time

Posted 5 days ago


Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking an AI Enabled Engineering Manager to join our team, hybrid in Atlanta, GA.
Job Summary
The Engineering Manager will lead cross-functional SaaS engineering teams and serve as a transformational leader in how IntelliTrans designs, builds, and delivers software. This role owns the full software development lifecycle (SDLC) across multiple delivery teams and is accountable for Agile execution, engineering quality, release velocity, and team development.
The ideal candidate is an entrepreneurial engineering leader who has moved from hands-on development into management and brings a modern perspective on AI-driven development, including active use of AI-assisted coding tools such as Claude Code, GitHub Copilot, or similar. The position partners closely with the CTO, Chief Architect, and product leadership to align engineering execution with company strategy and customer outcome
Essential Duties and Responsibilities
Essential Duties and Responsibilities include the following. Other duties may be assigned.
Engineering Leadership & Delivery
  • Lead and develop multiple software engineering teams across the full SDLC, from planning through deployment and continuous improvement
  • Drive Agile/Scrum delivery, sprint cadence, team accountability, and engineering best practices across all squads
  • Own program-level delivery planning and cross-team coordination using SAFe, Scrum, or comparable Lean or Agile frameworks
  • Establish and enforce engineering standards, coding practices, code review culture, and quality gates
  • Set and track key delivery metrics (cycle time, deployment frequency, defect escape rate, lead time) and drive continuous improvement
  • Oversee release planning, version management, and coordinated deployment across environments

AI-Driven Development & SDLC Transformation
  • Champion the adoption of AI-driven (not just AI-assisted) development workflows, including AI code generation, AI-augmented testing, and AI-driven code review
  • Drive hands-on enablement of AI coding tools (Claude Code, GitHub Copilot, Cursor, or similar) across engineering teams
  • Lead transformation of the SDLC to incorporate AI at every stage: requirements, design, implementation, testing, and operations
  • Evaluate, pilot, and scale emerging AI development tooling to improve team productivity and code quality
  • Build a culture of responsible AI use, including code review practices for AI-generated output, prompt engineering literacy, continuous learning, innovation, risk mitigation, and ROI management

People Leadership & Culture
  • Recruit, mentor, and develop engineering talent, building a high-performing, collaborative, and psychologically safe team culture
  • Conduct regular 1:1s, performance reviews, and growth planning conversations with direct reports and team leads
  • Foster an entrepreneurial mindset within teams, encouraging ownership, experimentation, and proactive problem-solving
  • Build a culture of accountability, continuous learning, and delivery excellence
  • Identify organizational gaps and lead hiring efforts to scale the engineering team strategically

Transformational Initiatives
  • Identify and lead transformational engineering initiatives that meaningfully improve delivery speed, system quality, or operational efficiency
  • Partner with the CTO and Chief Architect on strategic roadmap execution and technical modernization efforts
  • Champion process improvements, toolchain upgrades, and workflow automation to reduce toil and increase developer productivity
  • Lead change management for new engineering practices, tools, and ways of working across the organization

Cross-Functional Collaboration
  • Partner closely with Product Management to translate business and customer requirements into executable engineering plans
  • Collaborate with the Chief Architect and platform teams on architecture decisions, technical debt prioritization, and system design
  • Work with QA, Cloud Ops, and IT leadership to ensure integrated delivery, operational readiness, and cross-team alignment
  • Represent engineering in leadership forums, customer escalations, and strategic planning discussions
  • Build effective relationships with stakeholders across the business to ensure engineering execution aligns with company goals

Quality, Operations & Governance
  • Drive engineering quality through testing strategy, automation coverage goals, and shift-left quality practices
  • Oversee incident response, post-mortems, and root cause analysis for production issues affecting product delivery
  • Ensure compliance with security, privacy, and software governance requirements across all engineering output
  • Manage engineering tools, licenses, and resource allocation in alignment with budget expectations

QUALIFICATIONS AND BACKGROUND
Education
Required: Bachelor's degree in Computer Science, Software Engineering, or related field
Preferred: Master's degree in Computer Science, Software Engineering, or Business Administration
Experience
Required:
  • 7+ years of software engineering experience, with at least 3 years in an engineering management or team lead role
  • Demonstrated experience leading SaaS product engineering teams in a fast-paced, Agile environment
  • Hands-on background as a software developer prior to moving into management (ideally full-stack or backend)
  • Proven experience owning and improving the full SDLC, from story refinement through production deployment
  • Practical experience with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or equivalent) and a track record of driving their adoption
  • Strong command of Agile/Scrum delivery at the team level and experience with scaled frameworks (SAFe, Lean Startup, or similar)
  • Experience leading transformational engineering initiatives that delivered measurable business or operational impact
  • Track record of recruiting, developing, and retaining strong engineering talent

Preferred:
  • Experience leading or closely partnering with QA, Cloud Ops, or IT functions
  • Familiarity with Program Increment (PI) planning and large-scale Agile coordination
  • Experience in a growth-stage or entrepreneurial SaaS company, including navigating rapid change and resource constraints
  • Exposure to AI/ML-enabled product features or data-intensive SaaS platforms
  • AWS architecture awareness or cloud engineering background
  • Experience building or managing offshore or distributed engineering teams

Skills
Engineering Leadership:
  • Lean Startup, Agile/Scrum delivery, SAFe or similar scaled Agile program management
  • Full SDLC ownership across planning, development, testing, release, and operations
  • Engineering metrics: DORA metrics, cycle time, deployment frequency, change failure rate
  • Technical roadmap planning and cross-squad delivery coordination
  • Backlog management, sprint planning, and program increment execution

AI-Enabled Development:
  • AI code generation tools: Claude Code, GitHub Copilot, Cursor, Amazon CodeWhisperer
  • AI-augmented testing, AI-assisted code review, and prompt engineering for development tasks
  • SDLC transformation to incorporate AI tooling at each lifecycle stage
  • Responsible AI practices: review workflows, quality gates, and governance for AI-generated code

Software Development:
  • Hands-on software development background (any major stack; ideally one or more of: .NET Core, Java, Angular, Flutter/Dart)
  • RESTful API design, microservices architecture, and cloud-native development patterns
  • CI/CD pipeline design and deployment automation (GitLab CI/CD, Jenkins, or similar)
  • Source control strategy: GitFlow, trunk-based development, branching and release strategies
  • Code quality practices: peer review, static analysis, test automation, and coverage targets

Quality & Testing:
  • Test strategy across unit, integration, end-to-end, and performance testing
  • Test automation frameworks and shift-left quality practices
  • Defect lifecycle management, regression strategy, and release quality gates

Cloud & Infrastructure Awareness:
  • AWS core services (compute, storage, networking, managed databases)
  • Container basics (Docker, ECS/EKS) and cloud-native deployment patterns
  • Observability fundamentals: logging, monitoring, alerting, and incident response

Preferred Technology Environment:
  • AWS
  • Angular
  • Flutter / Dart
  • .NET Core
  • Java
  • Oracle
  • PostgreSQL
  • Databricks (a plus)

Competencies
Strategic & Transformational Leadership:
  • Entrepreneurial mindset with a bias for action, ownership, and driving meaningful change
  • Ability to lead transformational initiatives end-to-end, from vision through sustained adoption
  • Strong executive presence and ability to represent engineering to senior leadership and external stakeholders
  • Strategic thinking balanced with operational discipline and delivery accountability
  • Experience identifying and closing capability gaps through hiring, training, and process improvement

AI & Innovation Orientation:
  • Genuine enthusiasm for AI-assisted development and a track record of enabling teams to work smarter with AI tools
  • Curiosity about emerging engineering tools, workflows, and development paradigms
  • Ability to evaluate new technology pragmatically and drive adoption at scale
  • Growth mindset and commitment to continuous learning in a rapidly evolving technical landscape

People Leadership:
  • Coaching and mentoring approach that develops both technical skills and leadership capacity in others
  • Inclusive leadership style that fosters psychological safety, collaboration, and high performance
  • Ability to deliver candid feedback constructively and navigate performance conversations with care
  • Strong hiring instincts and ability to build diverse, high-performing engineering teams

Communication & Collaboration:
  • Excellent written and verbal communication skills; able to make complex technical topics accessible to non-technical audiences
  • Skilled at working across functional boundaries with product, design, architecture, and operations partners
  • Transparent, direct communicator who keeps stakeholders informed and manages expectations proactively
  • Effective in cross-functional forums, leadership reviews, and customer-facing escalation situations

Analytical & Decision-Making:
  • Data-driven approach to delivery decisions, quality investments, and team capacity planning
  • Ability to balance technical excellence with business pragmatism and delivery urgency
  • Sound judgment in navigating technical debt, scope trade-offs, and competing priorities
  • Root-cause orientation with a drive to implement systemic improvements rather than workarounds

Professional Excellence:
  • Self-motivated with strong ownership, follow-through, and accountability
  • Organized and structured approach to managing multiple teams, initiatives, and priorities simultaneously
  • Commitment to engineering craft: quality, reliability, maintainability, and security
  • Passion for building great products and great teams

IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.