As a Senior .NET AI Developer, this role will lead AI-focused workflows across the System Development Life Cycle. You will work at the intersection of .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery to build intelligent business solutions in a complex financial domain.
What You Have
Key Responsibilities
• Lead the design and implementation of highly scalable, resilient, and event-driven applications using .NET, Kafka, and cloud-native architecture patterns.
• Build and modernize high-volume services, APIs, and distributed application capabilities that support reliable transaction processing and business-critical workflows.
• Partner with architects, product owners, developers, and adjacent technology teams to convert business capabilities into high-quality technical solutions.
• Use GenAI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation while maintaining ownership for correctness and quality.
• Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to improve developer productivity and team execution.
• Drive engineering quality through automated testing, code review discipline, performance analysis, observability, resiliency design, and production readiness practices.
• Support modernization initiatives by moving legacy capabilities toward distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores.
• Guide and collaborate with engineers in a team-oriented environment while establishing repeatable practices for effective and responsible AI-assisted development.
Required Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience developing scalable, high-performance .NET, cloud-based, and web services applications that support high-volume transactions in highly available environments.
• Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using .NET and Kafka, with strong knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures.
• Working experience with IBM MQ, Kafka, Splunk, JSON/XML, caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
• Experience being a technical lead for a team and/or project.
• 6+ years of experience building and deploying cloud-native applications using Google Cloud Platform, Docker, Kubernetes, microservices, and CI/CD practices.
• Experience with cloud platforms and deployment environments such as PCF, AWS, or Google Cloud Platform.
• 2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, or comparable relational and NoSQL platforms.
• 2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed .NET applications and modern data platforms.
• 2+ years of hands-on experience with AI/ML implementation and production deployment or AI-assisted engineering practices.
• Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, PaLM, or comparable enterprise AI platforms.
• Demonstrated hands-on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
• Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with the Atlassian tool stack, including Jira and Confluence.
• Domain / Industry: Understands broker-dealer domain capabilities and operations, with preferred experience in the financial services industry.
• Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
• Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes.
Preferred Qualifications:
• Master’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or related degree, or equivalent practical experience.
• Experience in Test Driven Development, Behavior Driven Development, QA automation, and quality engineering mindset and behaviors.
• Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
• Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high-volume distributed platforms.
• Exposure to AI-assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns.
• Experience mentoring engineers on .NET engineering practices, cloud-native implementation, distributed systems, and responsible AI-assisted software delivery.
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