NET AI Developer

• Design, develop, and modernize distributed applications using .NET, Kafka, microservices, and cloud-native architectures.
• Build high-volume APIs and services that support business-critical workflows and transaction processing.
• Partner with architects, product owners, and engineering teams to deliver scalable, resilient solutions.
• Leverage GenAI tools (GitHub Copilot, Claude Code, Gemini, etc.) to accelerate development, testing, troubleshooting, automation, and documentation.
• Establish AI-assisted development practices leveraging prompt engineering, custom instructions, and agentic workflows.
• Drive engineering excellence through code reviews, automated testing, performance tuning, observability, resiliency, and production-readiness standards.
• Support modernization initiatives by transforming legacy applications into cloud-native, event-driven platforms.
• Mentor engineers and promote best practices in .NET development and responsible AI adoption.

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 7+ years of software engineering experience developing scalable .NET applications and web services.
• Strong expertise in:
• .NET / C#
• Kafka
• REST APIs
• Microservices
• Event-Driven Architectures
• Distributed Systems
• Experience with Kafka, IBM MQ, Splunk, JSON/XML, caching, performance tuning, observability, and resiliency patterns.
• Proven experience serving as a technical lead for projects or development teams.
• 6+ years of cloud-native development experience using Google Cloud Platform, Kubernetes, Docker, and CI/CD pipelines.
• Experience with AWS, Google Cloud Platform, or PCF deployment environments.
• Experience with MongoDB, PostgreSQL, Aerospike, or other relational and NoSQL databases.
• Experience supporting application modernization and technology transformation initiatives.
• Hands-on experience with AI/ML implementations or AI-assisted software development practices.
• Experience using GenAI development tools such as GitHub Copilot, Claude Code, GPT, Gemini, or similar platforms.
• Knowledge of Agile methodologies and tools including Jira and Confluence.
• Strong communication, leadership, and collaboration skills.
• Financial services or broker-dealer industry experience preferred., * Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
• Experience with TDD, BDD, QA automation, and quality engineering practices.
• Experience creating architecture diagrams, technical specifications, runbooks, and design documentation.
• Background in performance engineering, reliability testing, and operational readiness for distributed platforms.
• Experience with AI-assisted SDLC transformation initiatives and developer productivity programs.
• Proven ability to mentor engineers on .NET, cloud-native development, distributed systems, and AI-enabled engineering practices.

Ideal Candidate

A hands-on technical leader with deep .NET and cloud-native development expertise, strong experience building event-driven distributed systems, and a passion for leveraging Generative AI to improve engineering quality, productivity, and modernization outcomes.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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