Sr Lead Software Engineer: Customer Trust Assessment Platform

Job Responsibilities

• Provide technical guidance and direction to business and technology teams, including contractors and vendors
• Develop secure, production-grade code; review, debug, and improve code written by others
• Make and drive decisions that shape product design, application behavior, and operational processes
• Serve as a function-wide subject matter expert in one or more technical areas
• Advocate for and help teams adopt firmwide SDLC frameworks, tools, and engineering practices
• Influence peers and project stakeholders to evaluate and apply modern technologies where they provide clear value
• Promote an inclusive team culture grounded in diversity, opportunity, inclusion, and respect
• Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required Qualifications, Capabilities, And Skills

• Formal training or certification in software engineering concepts and 5+ years of applied experience in software development
• 10+ years of experience designing, developing, debugging, and maintaining applications in a large corporate environment
• Hands-on experience delivering system design, application development, testing, and operational stability
• Hands-on experience building AI agents and using AI-powered tools, including retrieval-augmented generation (RAG) pipelines and LLM APIs
• Deep knowledge in one or more technical disciplines (e.g., cloud, AI/ML), with strong understanding of modern engineering practices
• Strong hands-on experience with Java, Spring, and Spring Boot
• Experience designing and implementing REST APIs
• Strong AWS experience: ECS and Lambda, networking and core services knowledge (ALB, NLB, GWLB; VPC, subnets, security groups, IAM, CloudWatch)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security

Preferred Qualifications, Capabilities, And Skills

• Experience with NoSQL and relational databases (e.g., Cassandra, PostgreSQL, Oracle)
• Working knowledge of Agile delivery methods and CI/CD practices
• Experience designing resilient, secure internet-facing APIs (OAuth 2.0/OIDC, JWT, TLS/mTLS, rate limiting)
• Familiarity with middleware technologies
• Experience with Infrastructure as Code (Terraform)
• Experience with observability tools (logging, metrics, tracing)
• Cloud certification