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Strong brand, mid-level SWE title, and metro hiring make this highly competitive.
Observability and CI/CD skills transfer across industries, though enterprise banking practices add moderate domain bias.
Explicit 3+ years plus mandatory observability, tooling, and secure CI/CD experience increases screening strictness.
Design, develop, and troubleshoot secure, high-quality software solutions across multiple technical areas to support business objectives.
Use and evaluate enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity.
Produce architecture and design artifacts for complex applications and analyze large data sets to drive continuous improvement of software systems.
3+ years of applied experience in software engineering with formal training or certification in software engineering concepts.
Hands-on experience in system design, application development, testing, and operational stability using modern programming languages including Python and Java.
Proficiency with OpenTelemetry, Dynatrace, Splunk, Grafana, Geneos, and Prometheus as part of observability and monitoring practices.
Work Experience Required: 3+ years of applied software engineering experience.
Experience working in large corporate environments managing complex codebases and operational stability.
Demonstrated ability to critically evaluate and validate AI-assisted code generation and related outputs for performance, correctness, and security.
Strong understanding of Software Development Life Cycle, agile methodologies (CI/CD), application resiliency, and security in distributed systems.