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Tier-1 brand plus mid-level automation role and broad skillset increases candidate density.
Automation skills are transferable but banking security and responsible-AI expectations increase domain specificity.
Mandatory 2+ years and specific automation/performance testing skills create moderate filtering.
Designs, develops, and troubleshoots software components focusing on secure, stable, and scalable solutions within the Payments Technology team.
Executes automation and performance testing, leveraging AI-assisted development tools to improve code quality and productivity.
Analyzes large data sets to identify problems and contribute to secure application development across the full Software Development Life Cycle.
2+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on practical experience in Automation and Performance Testing.
Experience developing, debugging, and maintaining code in modern programming and database querying languages in a large corporate environment.
Experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI practices in engineering workflows.
Experience working in Agile environments with exposure to CI/CD, application resiliency, and security methodologies.
Background in backend enterprise application development including microservices deployed using AWS Elastic Kubernetes or Container Services and EC2.
Familiarity with infrastructure as code tools like Terraform and relational databases such as Oracle or PostgreSQL.