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, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience.
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.
Strong Java and Spring Boot and React/Angular full-stack delivery and 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).
Preferred qualifications, capabilities, and skills
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 cert are pluses.
