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# Technical Architect

- **Company:** HDY Technologies LLC
- **Location:** East Coast of the United States, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Automation of Tests, Microsoft Azure, Code Review, Information Technology Consulting, Databases, Interoperability, Python (Programming Language), Message Broker, NoSQL, Systems Development Life Cycle, RabbitMQ, Rapid Prototyping Process, Elearning, Microsoft Copilot, Software Engineering, TypeScript, Google Cloud, .NET Core, LangChain, Delivery Pipeline, Large Language Models, Spring-boot, Llamaindex, Generative AI, Backend, Cloudformation, Togaf, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Apache Kafka, Claude, Api Design, Terraform, Docker, Legacy Systems, Microservices
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/ccedbefe-2445-48c5-8462-0359df011c5c

## About the Role

* 15+ Years of Progressive Technical Experience: A proven, long-term career trajectory starting from hands-on software development through Solution Architecture to Enterprise or Principal Architecture within client-facing IT consulting, professional services, or enterprise SaaS environments.

 * 8+ Years in Client-Facing Advisory: Deep experience presenting to, negotiating with, and advising executive leadership (CTO, VP, CPO) on technical strategy, platform rationalization, and technology roadmaps.

 * 5+ Years of Technical Team Leadership: Demonstrated track record leading global, distributed development teams (onshore/offshore) while remaining active in architectural design, code reviews, and high-level technical problem-solving.

Deep Hands-On Engineering Stack Mastery:

 * Technical depth in core Enterprise back-end stacks (e.g., Java/Spring Boot,

.NET Core, Python) alongside modern TypeScript/JavaScript frameworks.

 * Deep experience with event-driven architectures (Kafka, RabbitMQ),

relational/NoSQL databases, and API ecosystems.

 * Hands-on expertise with public cloud environments (AWS, Azure, Google Cloud Platform),

containerization (Docker/Kubernetes), and Infrastructure-as-Code

(Terraform, CloudFormation).

Pragmatic AI & SDLC Automation Fluency: Tactical knowledge of incorporating GenAI frameworks (LangChain, OpenAI API, LlamaIndex) and modern AI coding assistants into software delivery pipelines.

Preferred Qualifications (Nice-to-Haves)

EdTech & Enterprise Domain Standards: Familiarity with EdTech integration standards (LTI, QTI, Ed-Fi, CEDS) or large-scale digital learning ecosystem

architectures.

 * Professional Certifications: AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, or TOGAF certification.

Formal Technical Education:

 * Bachelor's Degree: B.S. / B.E. / B.Tech in Computer Science, Electrical

Engineering, or a related STEM field (Required).

 * Master's Degree: M.S. / M.E. / M.Tech / MCA in Computer Science or

Engineering (Strongly Preferred).

## Description

* Lead Hands-On Platform Architecture: Design, build, and optimize scalable, cloud-native enterprise platforms. Perform hands-on prototyping, core framework development, and critical code reviews across microservices, databases, and message brokers.

 * Drive Executive Client Advisory & Engagement: Act as the primary technical advisor for client CTOs, VP-level stakeholders, and product leaders. Translate business needs into multi-year technical roadmaps, lead "build vs. buy" analyses, and articulate architectural trade-offs with clarity.

 * Guide & Lead Global Engineering Teams: Mentor and lead distributed engineering teams across the US, India, and other global centers. Foster outcome-driven ownership, technical rigor, and cross-functional agility across the development lifecycle.

 * Orchestrate GenAI & SDLC Automation: Define enterprise strategies for embedding Generative AI, LLM integrations, and modern automation tools (Copilot, Claude, IaC, automated testing pipelines) into production software workflows.

 * Troubleshoot & Modernize Legacy Systems: Lead rapid root-cause analysis for mission-critical production bottlenecks, refactor legacy monoliths into distributed microservices, and ensure seamless interoperability with core industry standards.