- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- 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
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Demonstrates knowledge of architecture and design across all systems
- Exhibits in multiple modern programming languages
- Utilizes in modern SDLC practices such as Test Driven Development, Continuous Integration, Continuous Delivery, Continuous Deployment
- Applies of industry-wide technology trends and best practices
- Possesses understanding of financial control and budget management
- Collaborates to work in large, collaborative teams to achieve organizational goals
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
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 development experience with Spring or similar framework
- Expert understanding of data structures, algorithms & multi-threaded programming
- Experience working on high throughput mission critical high-performance platforms
- Ability to influence architecture and design across distributed systems
- Experience in designing and building reusable services
- Proven track record in application delivery and stakeholder management
- Experience with Cloud Foundry, AWS and Kubernetes
- Stack: Java, Spring, AWS, Kubernetes, Kafka, MQ, Cassandra, Oracle, Spark, Control-M, Cloud Foundry, Kubernetes, PowerMock, JMeter, Splunk, Grafana, Dynatrace, Jenkins and etc.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred Qualifications, capabilities, and skills:
- Experience with Distributed Platforms(Kubernetes, AWS EMR ), Java Spark and Control-M
- Experience developing open-source libraries or internal libraries that are integrated into applications by other internal teams
- Behavior Driven Development using Cucumber and Continual Integration with Jenkins & Spinnaker
- Experience with Cloud native software deployment ideally AWS & PCF
- Experience with message bus technologies such as Kafka or MQ
- Experience with database technologies(e.g. Cassandra, Oracle, DynamoDB)
- Exceptional client relationship skills including the ability to discover true requirements underlying feature requests, recommend alternative technical approaches, drive efforts to meet committed timelines with optimal solutions.