Location: Chicago, IL, United States

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Experience developing LLM-based applications and solutions using artificial intelligence (AI) products.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Reviews and debugs code written by others
• Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs and technical credentials
• Uses enterprise-authorized AI capabilities within work environment to accelerate infrastructure analysis, option evaluation, and design documentation, validating outputs and handling data according to sensitivity and security requirements. 
• Contributes to software engineering communities of practice and events that explore new, cutting edge emerging technologies
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Applies reuse-first, AI-assisted practices within delivery/toolchain routines to identify recurring infrastructure issues and improvement  opportunities, ensuring changes are validated and aligned to resiliency and security expectations.

• Bachelors degree or certification on software engineering concepts and 3+ years of experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability with Experience implementing open source frameworks such as Spring Boot and overall knowledge of the Software Development Life Cycle.
• Proficient in coding in one or more languages. Hands-on experience in coding highly scalable, resilient UI micro services JavaScript framework React, React JSON Library, Java, using Messaging e.g. Kafka, developing databases objects in Cloud Native DBs 
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security. Proficiency in automation and continuous delivery methods
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure architecture workflows with strong validation habits and awareness of data sensitivity.
• Ability to assess and validate AI-assisted infrastructure recommendations before adoption, escalating uncertainty and ensuring outcomes align to resiliency, security, and auditability expectations.

 

• Familiarity with DevOps practices for software deployment and monitoring.
• Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
• Experience with distributed computing frameworks, such as Apache Spark.

• Experience in implementing SRE practices to improve system reliability and performance.

   

Join a dynamic and diverse team that engineers large-scale, complex, and resilient technology solutions that drive our global business.