Software Engineer III

In this role you will contribute as a seasoned member of an agile team to design and deliver secure, scalable cloud-native solutions for the firm. You will work on production-grade code and architecture artifacts that meet design constraints while aligning with public cloud standards. You’ll operate AWS-based services, identify patterns to improve systems, and leverage AI-assisted development tools to boost quality and velocity within a security-conscious environment. This is an opportunity to shape cloud capabilities that directly support critical business objectives.

• Execute software solutions and troubleshoot complex problems beyond routine approaches
• Produce secure, high-quality production code and maintain running algorithms
• Create architecture and design artifacts for complex cloud-native applications
• Design, build, and operate resilient, scalable AWS-based services
• Identify hidden problems in data to drive improvements in coding hygiene and system architecture
• Contribute to communities of practice and explore emerging cloud technologies
• Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity with peer review and secure coding standards
• Apply SDLC tools and automation to increase value and automation efficiency

• Formal training or certification on software engineering concepts
• Hands-on design, development, testing, and operational stability experience
• Proficiency in one or more modern programming languages
• Hands-on AWS development experience—building, deploying, and operating production workloads
• Experience in a large corporate environment with modern programming languages
• Knowledge of Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resilience, and Security
• Practical experience using AI-assisted developer tools to improve productivity and code quality
• Experience with enterprise-authorized AI-assisted software development tools and ability to evaluate AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows and secure handling of inputs/outputs

• collaboration
• problem-solving
• attention to security and resilience
• Go (Golang) (preferred)
• Kubernetes / EKS
• Terraform / CloudFormation / CDK