Software Engineer II

Job Responsibilities

• Execute standard software solutions, including design, development, and technical troubleshooting.
• Write secure and high-quality code using Java and other programming languages, with limited guidance.
• Design, develop, code, and troubleshoot applications, considering upstream and downstream systems and technical implications.
• Apply knowledge of tools within the Software Development Life Cycle (SDLC) toolchain to enhance automation and value delivery.
• Perform technical troubleshooting to break down solutions and resolve basic complexity issues.
• Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and support secure, stable application development.
• Learn and apply system processes, methodologies, and skills for developing secure, stable code and systems.
• Contribute to a team culture of diversity, inclusion, and respect.
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 2+ years of applied experience.
• Strong hands-on experience in Java development, with exposure to artificial intelligence (AI) and large language models (LLMs).
• Practical experience in system design, application development, testing (including performance testing), and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages.
• Demonstrable ability to code in one or more languages
• Experience across the full Software Development Life Cycle (SDLC).
• Exposure to agile methodologies such as CI/CD, application resiliency, and security.
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile).
  

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies (e.g., React, Angular, Vue).
• Exposure to cloud technologies (e.g., AWS, Azure, GCP).
• Experience with performance testing tools and frameworks.
• Interest or experience in AI/ML and LLMs integration within enterprise applications.