Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) such as Java, J2EE, Spring/Spring boot, React JS or Angular
AWS services, including ECS, EKS, S3, SQS, Lambda, Event Bridge, SNS, auto scaling, load balancing, storage, backup, networking and related cloud concepts.
Prior hands on experience with distributed streaming platform like Kafka
Database experience with relational database like Oracle, or non-relational like Cassandra or other NoSQL
Hands-on expertise in using monitoring tools like Splunk, Grafana and creating dashboards and alerts using these tools.
Previous expertise with integrating security measures within the software development lifecycle, including threat modeling, vulnerability assessment, and implementing best practices to safeguard applications against potential security threats and breaches.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Proficient in all aspects of the Software Development Life Cycle
Preferred qualifications, capabilities, and skills
Previous experience in financial services industry
Previous experience in modern front end technologies
