Java/Python Lead Software Engineer

Job Responsibilities: Provides technical guidance and direction to support the business and its engineering teams, contractors, and vendors. Designs and develops secure, high‑quality production code; reviews, debugs, and raises the engineering bar through strong code review practices. Leads system design and implementation for cloud‑native services on AWS, including APIs, standalone services, and event‑driven components. Drives decisions that influence product design, application functionality, and technical operations and processes. Drives adoption and governance of approved AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis). Establishes measurable validation standards for AI‑assisted workflows (secure coding, peer review, automated testing) and promotes reuse of proven patterns and automation within the SDLC/toolchain. Applies SDLC toolchain expertise (CI/CD, testing, IaC, observability) to improve reliability, delivery throughput, and operational excellence. Serves as a function‑wide subject matter expert in one or more areas of focus and contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices. Required Qualifications, Capabilities, and SkillsFormal training or certification in software engineering concepts and5+ yearsof applied experience. Hands‑on experience delivering system design, application development, testing, and operational stability for production services. Advanced in one or more programming languages ( Java, Python, or Go ) with strongAWSexperience. Strong experience with AWS services to host APIs, run applications, enable inter‑application messaging, and implement event‑driven services. Experience organizingTerraformworkspaces and developing Terraform code (infrastructure as code). Experience designing and developingmicroservicesand backend services. Experience designing backend data models and working with databases (relational and/or NoSQL). Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment, including setting team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency and security expectations) and experience coaching engineers/leads on compliant usage patterns and controls. Ability to tackle complex design and functionality problems independently with limited oversight. Preferred Qualifications, Capabilities, and SkillsExperience with messaging/eventing systems (e.g., Kafka, SNS/SQS, Kinesis, MQ). Experience with Docker/containerization best practices and CI/CD pipeline tooling. Understanding of security best practices and secure coding principles. Experience with test‑driven development (TDD), automated testing frameworks, and modern API design patterns.