• Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and documentation (e.g., summarizing monitoring findings), validating outputs and handling data according to sensitivity and security requirements.
• Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion.
• Carries out day to day work assignments with some guidance and within documented parameters.
• Escalates issues to appropriate leaders.
• Develops considerations for upstream/downstream data and systems or technical implications.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before use, escalating when uncertain and following security and data handling expectations.
• Understanding of cloud, virtualization, APIs, and software languages such as Python, Java, Bash, Shell.
• Proficient knowledge of risk and controls landscape, ensuring company-wide standards are met.
• Experience with configuring and troubleshooting file transfer protocols, ciphers, and encryption (FTP, SFTP, FTPS, AS2).
• Experience in Production Support, testing and debugging of automated tasks (Apps, Systems, Infrastructure).
• Experience with developing frameworks that reduce operational toil or application technical debt while maintaining a high degree of system availability.
• Knowledge of Linux, Shell scripting, PERL Scripting, and SQL.
• Basic data fluency and automation knowledge.

• Broad technology across multiple domains.
• Hands-on experience in incident management or production support environment.
• Familiarity with site reliability concepts, principles, and practices.
• Experience working in the financial services industry supporting mission critical applications.