Lead Software Engineer

Lead Software Engineer

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 Java or 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 GCP)
• 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
• Familiarity with Cloud Security Posture Management (CSPM) tools (e.g., Wiz, Prisma, CloudGuard)
• Knowledge of cloud-native security and governance tooling (e.g., Azure Policy, AWS SCP, GCP 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