Technical Architect

• 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.

• 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).