The Software Developer will support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR), contributing to the design, development, and delivery of secure, scalable technology solutions.
This role focuses on building modern cybersecurity platforms, enhancing system architecture, and enabling secure adoption of cloud and AI-driven services.
Responsibilities:
Design, develop, and maintain high-quality software solutions supporting cybersecurity initiatives
Partner with engineering and AI/ML teams to integrate security into deployment pipelines and cloud-based AI services
Re-architect core components using modern design patterns to improve scalability, resiliency, and availability
Develop and enhance distributed systems leveraging event-driven and service-oriented architectures
Collaborate with global teams and stakeholders to gather requirements and deliver solutions aligned to business needs
Support secure development practices across CI/CD pipelines and DevOps workflows
Contribute to system design decisions, performance optimization, and technical problem resolution
Build and maintain data storage solutions across relational and non-relational systems
Ensure alignment with enterprise security standards and governance requirements
Required Qualifications:
10+ years of experience in software development or engineering
Strong programming skills in Python
Solid understanding of object-oriented design and application architecture
Experience with REST services and event/message-driven architectures
Hands-on experience with distributed systems and messaging platforms (e.g., Apache Kafka)
Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform)
Experience with Infrastructure-as-Code tools (e.g., Terraform)
Strong knowledge of data structures, algorithms, and problem-solving techniques
Experience with SQL (PostgreSQL, MSSQL) and NoSQL databases (e.g., MongoDB)
Familiarity with Agile development methodologies and DevOps practices (CI/CD, SDLC)
Strong written and verbal communication skills.
Preferred Skills:
Experience with cloud-based AI services (e.g., Azure AI, AWS Bedrock, Google Vertex AI)
Experience implementing security controls for cloud and AI service environments
Knowledge of cloud-native security and governance tooling (e.g., Azure Policy, AWS SCP, Google Cloud Platform constraints)?Experience with scripting (Bash, PowerShell) across Linux/Windows environments
Exposure to web technologies (e.g., Angular, React)
Additional Skills:
-Strong analytical and problem-solving capabilities
-Ability to manage priorities in fast-paced environments with minimal supervision
-Effective stakeholder collaboration and communication skills
-Self-starter with a proactive and solution-oriented mindset