.Net Architect

Job Description Net Architect Must Have Technical/Functional Skills 10+ years of progressive, hands-on software engineering experience, including enterprise-scale distributed systems Proven experience operating at a Senior Staff / Principal level or equivalent, with significant influence across teams and systems Deep expertise in cloud-native architectures, with strong hands-on experience in AWS Strong proficiency in .NET technologies (C#, .NET Core / .NET 6+) in large-scale enterprise environments Extensive experience designing distributed systems, microservices, RESTful APIs, and event-driven architectures Demonstrated ability to define technical strategy and influence decision-making across engineering and business stakeholders Strong experience in Agile, DevSecOps, CI/CD pipelines, and modern software delivery practices Exceptional communication skills with the ability to translate complex technical concepts into business value and trade-offs Roles & Responsibilities Own end-to-end technical strategy and architecture for large-scale, complex software systems spanning multiple teams and domains Define and drive long-term technical vision, architecture standards, and engineering roadmaps, ensuring alignment with enterprise and business strategy Champion and enforce engineering excellence across code quality, scalability, resiliency, security, accessibility, and performance at an organizational level Lead hands-on design and development of cloud-native, highly scalable solutions on AWS and .NET platforms, with a strong focus on event-driven and distributed architectures Act as a technical authority and escalation point for resolving the most complex system, integration, and performance challenges across distributed systems and APIs Influence and guide architecture decisions across multiple teams, ensuring consistency, reusability, and adherence to enterprise standards Collaborate with senior stakeholders (Product, Architecture, Engineering, UX, Security, and Platform teams) to drive strategic business outcomes Drive adoption of AI / GenAI capabilities across platforms, including intelligent automation, decision support systems, and developer productivity enhancements Establish and evolve DevOps, CI/CD, and automated testing strategies to enable rapid, secure, and reliable delivery at scale Influence technical direction beyond immediate team boundaries, contributing to enterprise-wide engineering practices and innovation initiatives Design and implement agent-based systems and multi-agent architectures (e.g., orchestration, tool usage, RAG pipelines) to solve complex business and engineering problems Salary Range- $120,000-$140,000 a year