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 10+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Expertise in Java/J2EE, Spring Boot, Kafka, and microservices architecture, building secure, high-quality, production-grade systems
Experience developing and operating React front-end applications (TypeScript), including integration with back-end APIs and end-to-end quality practices
Proficiency with relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., DynamoDB, Cassandra)
Hand-on experience with using Kubernetes, AWS services (ECS, EKS, Aurora Postgres etc.) and cloud native experience.
Demonstrated experience using AI to derive inferences from data, and familiarity with AI Skills, AI Agents, and MCP.
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 and In-depth knowledge of the financial services industry and their IT systems
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Certification in AWS and AWS AI preferred
Working knowledge of Observability Tools like Splunk, Grafana, Dynatrace for system monitoring and alerting(business/infrastructure)
Operational support experience is bonus
Preferred experience with Python
