Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Applies technical experience will allow you to take the lead on feature design and development, as well as allowing you to identify new features and help form the strategy and direction of the program.
Provides technical leadership and mentoring while being open and inclusive, encouraging the whole team to participate in design and development
Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs
Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced knowledge of application, data and infrastructure architecture disciplines
Extensive core Java (version 8 or higher) development experience with Spring or similar framework
Test Driven Development using Junit
Expert understanding of data structures, algorithms & multi-threaded programming
Experience working on multi-threaded, high throughput mission critical high-performance platforms
Experience in designing and building reusable services
Experience with data security and encryption in an enterprise setting
Experience with Java Spring Boot, Hibernate, Kafka, Cassandra, , Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins, Sonar, Fortify, Black Duck, Bitbucket, JIRA, Confluence
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
Preferred qualifications, capabilities, and skills
Experience with cloud native applications development (e.g. AWS, GCP, private cloud, etc.)
Ability to influence architecture and design across distributed systems
Knowledge of industry-wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals
