About this role
About the opportunity
We are seeking a Senior Backend Engineer who is comfortable working with infrastructure to join the Platform Engineering domain in the Connectivity group.
The mission of Platform Engineering is to provide trusted, performant, self-service platforms that empower product teams to build "the bank the world loves to use." The Edge team contributes to this mission by providing a unified Edge platform for all partner-facing and customer-facing traffic, where security and governance are embedded by default, operational ownership is always clear, and platform changes can be made quickly without creating customer risk.
As one of the first banks completely hosted in the cloud, our security, resilience, and productivity standards require not only the use of a modern technology stack but also building teams in line with our principles, supporting our product teams, the company, and our customers.
In this role, you will:
• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.
• Collaborate with Engineers, SREs, and other platform stakeholders to deliver robust, maintainable, and secure infrastructure solutions tailored to the needs of both technical and non-technical internal users.
• Actively support platform scalability, observability, and testing efforts, helping to ensure services are production-ready and compliant.
• Take part in roadmap and architecture discussions, contributing your experience in backend systems and your understanding of customer-facing product constraints.
• Foster cross-functional collaboration, knowledge sharing, and mentoring within the team.
What you need to be successful
Background and skills:
• At least 5 years of proven experience as a backend-focused software engineer, designing and building production-grade services and systems.
• Strong programming skills preferably with JVM-based languages like Java or Kotlin, along with familiarity with relevant backend frameworks and tooling such as Spring.
• Solid understanding of software architecture patterns (e.g., microservices, event-driven architectures, REST/gRPC APIs).
• Practical experience with cloud-native development, with strong expertise in AWS.
• Experience working with CI/CD pipelines, infrastructure-as-code, and familiarity with DevOps/SRE principles.
• Appreciation for the importance of code quality, automated testing, documentation, and observability.
Nice to have:
• Knowledge of Golang and Python.
• Experience with deploying and maintaining Kubernetes workloads.
• Familiarity with AI-related AWS services, particularly SageMaker, Bedrock, or similar tooling, is highly desirable.
• Prior experience with AI/ML platforms is a strong plus - or a demonstrate