Corporate Sector, you are part of an agile team that works to enhance, design, and deliver the software components of the firms state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. 

Job Responsibilities

• Executes standard software solution, design, development, and technical troubleshooting 
  Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. 
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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 
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems 

 

Required qualifications, capabilities, and skills

• A. Formal training or certification on software engineering concepts and 3+ years applied experience 
• Proficiency in back-end technologies such as Java and Spring Boot
• Hands-on AWS development experience  building, deploying, and operating production workloads using core AWS services
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Practical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve engineering productivity, code quality, and knowledge acquisition
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs. 
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations. 

 

Preferred qualifications, capabilities, and skills

• Practical experience with Kubernetes: deploying, operating, and troubleshooting containerized workloads (EKS preferred)
• Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK)
• Familiarity with observability tooling (Prometheus, Grafana, Datadog)
• AWS certifications (Developer Associate, Solutions Architect, or higher)

 

 

Promote innovation on a dynamic team to enhance, build, and deliver exceptional technology products.