AI Software Engineer III

As a Software Engineer III, you will deliver end-to-end full-stack capabilities and own key components and services. Working with cross-functional stakeholders, you will help lead team design and quality practices, support production stability, and evolve the platform. Key Responsibilities Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies 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 Own design and delivery for full-stack features (Java/Spring Boot + React/Angular). Build resilient services and integrations (Kafka/ eventing , downstream dependencies). Drive engineering quality through reviews, automation, test strategy, and CI/CD improvements. Improve production readiness (monitoring, alerting, dashboards, runbooks) and reduce recurring incidents. Mentor engineers and help standardize best practices across the squad. Required Qualifications Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. Formal training or certification on software engineering concepts and 3+ years applied experience. Strong Java and  Spring Boot and React/Angular full-stack delivery. Experience developing Kafka producers/consumers in Java Experience with SQL databases such as Aurora – Postgres or equivalent with data modelling, query optimization and performance tuning. NoSQL experience: Cassandra / DynamoDB / Elastic Search (modeling + performance). Hands-on Cloud Foundry/AWS and building/maintaining CI/CD pipelines. Strong quality mindset, including TDD, automation, design and code reviews, and engineering mentorship. Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness. Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene). Nice to have: Experience with advanced AI/LLM capabilities, including LLM integrations, agentic workflows, retrieval-augmented generation (RAG), and tool calling, is a plus. Cross-team delivery leadership, PCI exposure, AWS certifications