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