Technical Development Manager (Java)

Infinite Computer Solutions; Alpharetta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Infinite Computer Solutions is seeking a Development Manager to lead enterprise development and modernization across Java, C, and legacy platforms. You will own delivery, audit readiness, configuration management, and vulnerability remediation while reporting to executives.

Strong SDLC, DevOps experience, and AI-enabled code analysis are essential. You will oversee teams across design, build, test, deploy, and operate phases, enforce standards, and collaborate with Product, QA, Architecture,

Qualifications

• Bachelor’s degree in Computer Science or related
• Strong Java and C experience
• Experience with GitLab CI/CD
• Experience with SDLC, DevOps, infrastructure
• Audit and vulnerability remediation experience
• Experience with AI tools for code analysis

Responsibilities

• Lead teams across full SDLC (design, build, test, deploy, operate)
• Deliver applications built on Java, C, and legacy frameworks
• Enforce coding standards and architecture principles
• Oversee contractors and delivery alignment
• Utilize GitLab for source control and CI/CD
• Align to Agile, Hybrid, and Waterfall models
• Drive modernization of C, Java and legacy platforms
• Use AI tools for code analysis, coverage, and remediation
• Define roadmaps with architecture
• Ensure compliance with regulatory standards (PCI DSS)
• Own audit readiness and controls
• Partner with security on remediation
• Govern SDLC and change management
• Align with infrastructure standards
• Maintain CMDB accuracy
• Partner with ops for environment stability
• Oversee GitLab-based deployment pipelines
• Identify and remediate vulnerabilities
• Apply secure coding across Java and C
• Integrate security into GitLab pipelines
• Report on vulnerability metrics
• Work with Product, QA, Architecture, Infra, Security
• Communicate risks and status
• Improve reliability and scalability

Skills

Java

C

AI tools for code analysis

DevOps mindset

Education

Bachelor’s degree in Computer Science or related

Tools

GitLab CI/CD

Job description

Type: Full Time/W2 with Infinite Computer Solutions

What You’ll Do:

As a Development Manager, you will be a lead enterprise development and modernization across Java, C, and legacy platforms with responsibility for delivery, audit readiness, configuration management, vulnerability remediation, and executive reporting.

Engineering Leadership & Delivery:

• Lead teams across full SDLC (design, build, test, deploy, operate)
• Deliver applications built on Java, C, and legacy frameworks
• Enforce coding standards and architecture principles
• Oversee contractors and delivery alignment
• Utilize GitLab for source control and CI/CD
• Align to Agile, Hybrid, and Waterfall models

Legacy Modernization & AI Enablement:

• Drive modernization of C, Java and legacy platforms
• Use AI tools for code analysis, coverage, and remediation
• Define roadmaps with architecture

Audit, Compliance & Risk Management:

• Ensure compliance with regulatory standards (PCI DSS)
• Own audit readiness and controls
• Partner with security on remediation
• Govern SDLC and change management

Infrastructure, CMDB & Operational Oversight:

• Align with infrastructure standards
• Maintain CMDB accuracy
• Partner with ops for environment stability
• Oversee GitLab-based deployment pipelines

Vulnerability Management & Remediation:

• Identify and remediate vulnerabilities
• Apply secure coding across Java and C
• Integrate security into GitLab pipelines
• Report on vulnerability metrics

Cross-Functional Collaboration:

• Work with Product, QA, Architecture, Infra, Security
• Communicate risks and status

Operational Excellence & Reporting:

• Improve reliability and scalability

Required Qualifications:

• Bachelor’s degree in Computer Science or related
• Strong Java and C experience
• Experience with GitLab CI/CD
• Experience with SDLC, DevOps, infrastructure
• Audit and vulnerability remediation experience
• Experience with AI tools for code analysis