Director of Software Engineering - Java & AWS
C AND C.C. OMPLETE INC
Atlanta, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Atlanta, United States of America
Tech stack
Java
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Big Data
Cloud Computing
Code Generation
Computer Security
Command-Query Responsibility Segregation (Software Development)
Distributed Systems
Enterprise Architecture Framework
Fault Tolerance
Google Wallet
Release Management
Software Engineering
Data Streaming
Systems Integration
UML
Data Processing
Kotlin
Event Driven Architecture
Containerization
Infrastructure Automation Frameworks
Low Latency
Kafka
Event Sourcing
Cloud Optimization
Stream Analytics
Job description
- Leads technology and process implementations to achieve functional technology objectives
- Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
- Own end-to-end delivery of large-scale credit card platform initiatives, managing scope, risk, and dependencies across multiple workstreams
- Provide architectural direction for platform engineering, designing highly available, fault-tolerant systems capable of processing transactions at scale with minimal latency
- Champion the adoption of AI-driven development practices, including AI-assisted code generation, automated testing, and predictive defect analysis
- Translate business requirements into scalable technical solutions, demonstrating understanding of the credit card lifecycle
- Partner with risk, compliance, and information security teams to embed controls into the software development lifecycle
- Evaluate and integrate Huge data processing, data streaming, Real Time analytics, and event-sourcing patterns to enable new payments products and features
- Collaborate with enterprise architecture and platform engineering teams to ensure alignment with technology standards and cloud strategy
Requirements
If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you., * Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Proven experience architecting and delivering large-scale, high-availability distributed systems processing high-volume, low-latency workloads
- Hands-on expertise with modern enterprise technology stacks, including Java/Kotlin, reactive and asynchronous frameworks, event-promoted architectures, containerized environments, and infrastructure-as-code tools
- Ability to promote complex, multi-workstream delivery programs from technical strategy through production release
- Experience embedding security, compliance, and regulatory controls into engineering workflows and CI/CD pipelines
- Track record of building, mentoring, and scaling engineering teams across multiple experience levels
- Ability to operate effectively at the intersection of technology and business, including presenting technical strategy and trade-offs to senior stakeholders
- Experience in the banking or financial services domain, with Digital Wallet or payments industry experience
- Extensive experience with AWS services, including architecture, deployment, and optimization of cloud-based solutions.
Preferred qualifications, capabilities, and skills
- Proficiency with architectural modeling languages such as UML or the C4 model, and familiarity with enterprise architecture frameworks
- Hands-on experience with event-driven architecture patterns, including technologies such as Kafka, event sourcing, and CQRS
- Exposure to AI/ML tooling, large language model integration, or AI-assisted software development practices
- Demonstrated expertise in building 0-to-1 applications, taking products from concept to launch.
- Skilled in processing and managing large volumes of data for settlement and reconciliation workflows, ensuring accuracy and efficiency.