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The Lead Software Engineer codes software applications based on business requirements and works on problems of diverse scope and complexity ranging from moderate to substantial.

The Lead Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

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Key Responsibilities

Microservices & Backend Engineering

• Architect, implement, and operate microservices that deliver:

  • Action and variant metadata

  • Context-aware policy and eligibility evaluation

  • Versioned, read-optimized APIs for high-performance runtime consumption

• Guarantee that services are:

  • Highly available, with low latency

  • Horizontally scalable for increased demand

  • Backward compatible to support safe evolution and upgrades

• Apply industry best practices for API design, schema evolution, service isolation, and secure integration.

Database & Schema Design

• Design, deploy, and maintain resilient database schemas to support:

  • Comprehensive action and variant catalogs

  • Versioning, lifecycle management, and effective dating

  • Rule bindings and complex metadata relationships

• Select and operate appropriate data stores (relational, document, key-value) tailored to workload and scalability requirements.

• Implement and monitor:

  • Schema migration and backward compatibility strategies

  • Indexing and query optimization for performance

  • Data integrity, consistency, and reliability

  • Auditability and traceability for compliance and governance

Rules & Policy Engine Integration

• Integrate and manage enterprise-grade rules engines to support:

  • Eligibility, constraints, and business policies

  • Suppression, cooldowns, exclusions, and other operational guardrails

  • Policy-driven allow/deny logic

• Work with technologies such as Drools (DRL/DMN), IBM ODM, DMN-based services, OPA/Rego, or similar.

• Ensure rule execution is deterministic, versioned, stateless, and free from unintended side effects.

AI-Assisted & Agentic Engineering

• Utilize AI-powered and agentic tools to:

  • Generate and refactor database schemas and service logic

  • Streamline rule authoring, validation, and ongoing refactoring

  • Detect and address conflicting or redundant rules early in the development cycle

  • Automatically produce comprehensive test cases and explore edge scenarios

• Apply AI responsibly to reduce manual effort while safeguarding clarity, correctness, and strong governance.

Testing, Reliability & Governance

• Develop automated tests for:

  • Database migrations and schema changes

  • Service-level contracts and API backward compatibility

  • Rules behavior, precedence, and edge cases

• Ensure platforms are fully observable and resilient, featuring:

  • Structured logging, metrics, and alerting

  • Clear error handling, fallback strategies, and robust incident management

• Support audit and compliance requirements through traceable and reproducible system behavior

Collaboration & Technical Leadership

• Work closely with platform, data, and machine learning teams to maintain clean integration points and shared standards.

• Participate actively in architecture and design reviews to uphold platform quality.

• Mentor junior engineers and contribute to technical standards and best practices.

Required Qualifications

• Bachelor's degree in computer science or related field

• 8 or more years of progressive IT experience as a senior developer in large IT projects

• 2 or more years of project leadership experience

• Must be passionate about contributi