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About the Role

This role involves leveraging GenAI coding assistants across the software development lifecycle, including implementation, refactoring, testing, code reviews, and troubleshooting. The focus is on reducing context switching and accelerating delivery through AI-assisted development, with an emphasis on agentic workflows and spec-driven development.

Responsibilities

• Implement, refactor, unit test, and provide regression support for code.
• Conduct code reviews and provide troubleshooting assistance.
• Develop automation scripts and documentation.
• Utilize AI assistance for common development tasks like code suggestions, test generation, and review support.
• Apply GenAI to reduce context switching and accelerate delivery across typical workflows.
• Translate low-level design artifacts into structured specs to guide AI-assisted implementation.
• Establish team-level practices for effective AI-assisted development.
• Communicate and lead other engineers in a collaborative environment.
• Engage with fellow developers, Architects, and adjacent teams with a bias for action.

Requirements

• Demonstrated exposure to or hands-on experience with GenAI coding assistants in SDLC workflows.
• Practical familiarity with tools such as GitHub Copilot or Claude Code.
• Working knowledge of agentic workflows and spec-driven development.
• Experience with custom instructions and prompt engineering.
• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience in actively developing large-scale software using C#, .NET/.NET Core, ASP.NET, cloud-native development, and Web Services/APIs.
• 2+ years of hands-on experience with AI/ML implementation and production deployment.
• 6+ years of experience working with containers and microservices in the cloud.
• 6+ years of experience in cloud deployment in a continuous integration and continuous delivery model (CI/CD).
• 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
• 2+ years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
• 2+ years Prior experience in IT Transformations and system modernization initiatives.
• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
• Understanding of broker-dealer capabilities and operations.
• Excellent communication skills.
• Collaborative mindset coupled with a bias for action.
• Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience.
• Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent).
• Experience in Financial Services industry.
• Experience in Test Driven Development, QA Automation and Quality mindset and behaviors.
• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process.
• Willingness to learn all aspects of tech stack and document.
• Ability to research and document production and test environments along with architecture and design work.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with the Atlassian tool stack (JIRA and Confluence).

Skills

• GenAI coding assistants
• GitHub Copilot
• Claude Code
• Agentic workflows
• Spec-driven development
• Prompt engineering
• C#
• .NET/.NET Core
• ASP.NET
• Cloud-native development
• Web Services/APIs
• AI/ML implementation
• Containers
• Microservices
• CI/CD
• Pivotal Cloud Foundry (PCF)
• AWS
• GCP
• MongoDB
• Aerospike
• PostgreSQL
• IT Transformations
• System modernization
• Large Language Models (LLMs)
• Broker-dealer capabilities
• Messaging technologies (Rabbit MQ, Kafka)
• Test Driven Development (TDD)
• QA Automation
• Visio diagrams
• Agile methodology
• Atlassian tool stack (JIRA, Confluence)

Experience Level

• 7+ years of professional software engineering experience
• 2+ years of hands-on experience with AI/ML implementation
• 6+ years of experience working with containers and microservices
• 6+ years of experience in cloud deployment
• 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP
• 2+ years’ experience working with databases
• 2+ years Prior experience in IT Transformations

Education Level

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
• Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience