Software Engineering- Business Banking
Description
As a Senior Software Engineer, you will serve as a senior technical contributor and design leader, owning complex components/services, driving engineering standards, and influencing cross-team architecture and execution. You will help elevate quality, reliability, and speed-to-market.
Key Responsibilities
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
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.
Lead technical design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular).
Drive event-driven patterns using Kafka (idempotency, retries, ordering, error handling).
Establish strong engineering practices (test strategy, automation, CI/CD quality gates, observability).
Own production excellence: incident reduction, RCA prevention, performance tuning, and operational readiness.
Mentor engineers and influence technical direction across squads and partner teams.
Required Qualifications
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.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Formal training or certification on software engineering concepts and 5+ years applied experience
Deep expertise in Java 8+ / Spring Boot, microservices, and React/Angular.
Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
Experience with SQL databases with data modelling, query optimization, and performance tuning.
Strong NoSQL experience: Cassandra / DynamoDB / Elastic Search (data modeling, reliability, scale).
Strong experience with Cloud Foundry/AWS and CI/CD strategy and execution.
Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.
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).
Additional / Optional
Cross-team delivery leadership, PCI experience and AWS cert are pluses.