Software Engineer III - Cloud Engineering Acceleration

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code, and reviews, debugs, and maintains code written by others
• 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 (e.g., CI/CD, infrastructure automation, operational workflows)
• Produces architecture and design artifacts for platform services and complex applications, while being accountable for ensuring design constraints (security, resiliency, scalability, maintainability) are met by software code development
• Participates in design reviews and technical discussions to evaluate solutions, strengthen quality, and support scalable delivery
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systems
• Collaborates with teammates and partner teams to evaluate and adopt tools and frameworks that improve developer experience and platform quality
• Contributes to knowledge sharing (e.g., documentation, demos, brown bags, communities of practice) to support adoption of modern engineering approaches
• Promotes a team culture of diversity, opportunity, inclusion, respect, continuous improvement, and shared learning
• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience delivering production-grade solutions using one or more modern programming languages and frameworks/platforms such as Java, Spring, Go, Python, Terraform, and/or Kubernetes
• Practical cloud-native experience building and operating services on at least one public cloud provider (Amazon Web Services, Microsoft Azure, or Google Cloud Platform)
• Proficiency in automation and continuous delivery methods (CI/CD)
• Working understanding of agile development practices, application resiliency, and security fundamentals
• 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
• Strong communication skills with the ability to adapt messages for technical and non-technical audiences
• Ability to evaluate technical solutions with a customer-focused mindset and understand how engineering decisions impact users and business outcomes
• Experience working in financial services or another highly regulated technology environment
• Experience contributing to public cloud platform services, developer platforms, or shared engineering capabilities
• Experience mentoring junior engineers or contributing to technical practice improvements within a team
• Familiarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputs
• Experience improving developer experience, platform reliability, or operational efficiency at scale