- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

- Contributes to software engineering communities of practice and events that explore new and emerging technologies

- Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications :

- Proficient in Java programming and coding.

- Comprehensive knowledge of the Software Development Life Cycle.

- Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.

- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile).

- Provide secure AI tooling (identity, secrets, egress controls, logging/audit) so teams can use copilots and LLM services safely in enterprise environments.

- Develop golden paths for AI-assisted SDLC: prompt/playbook libraries, repo templates, CI quality gates, policy checks, and reference implementations.

- Run LLMOps for shared services: model/service selection, cost controls, latency/reliability SLOs, observability, incident runbooks, and change management

Preferred Qualifications :

- Proficient in Java programming and Spring Boot, Microservices.

- Experience with cloud technologies, specifically AWS (EC2, EKS, S3).

- Strong experience with NoSQL (Cassandra, DynamoDB) and relational databases.

- Experience with Kubernetes and familiarity with Kafka.

- Good understanding of the financial and banking industry.gies