Software Engineer II: Fullstack

Responsibilities

• Execute standard software solutions, design, development, and technical troubleshooting.
• Write secure, high-quality code with limited guidance using one or more programming languages.
• Design, develop, code, debug, and troubleshoot while considering upstream and downstream systems and technical implications.
• Use Software Development Life Cycle tools, automation, and enterprise-authorized AI-assisted development capabilities to improve delivery value.
• Analyze large and diverse data sets to identify problems and support secure, stable application development.
• Apply software engineering processes, methodologies, and technical skills to develop secure and stable systems.
• Use AI-assisted tools for code generation, refactoring, unit test creation, testing, troubleshooting, and documentation while validating outputs through peer review, automated testing, and secure coding standards.

Requirements

• Formal training or certification in software engineering concepts and 2+ years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
• Demonstrable ability to code in one or more programming languages.
• Experience across the full Software Development Life Cycle.
• Exposure to CI/CD, application resiliency, security, and agile methodologies.
• Emerging knowledge of a technical discipline such as cloud, artificial intelligence, machine learning, or mobile development.
• Hands-on experience with enterprise-authorized AI-assisted software development tools and the ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, resiliency, and security expectations.
• Familiarity with modern front-end technologies and exposure to cloud technologies are preferred.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive commission-based or discretionary incentive compensation.
• Comprehensive health care coverage and on-site health and wellness centers.
• Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Additional benefits and total compensation details are provided during the hiring process.