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Sr Solutions Architect

Sr Solutions Architect Location; Sunnyvale, CA ABOUT THIS FEATURED OPPORTUNITY We are seeking a hands-on Senior Solutions Architect / Principal Engineer who lives and breathes code and comes from a strong application engineering background. This is not a purely architectural role—we are looking for someone who has built software from scratch, understands modern system design deeply, and has successfully taken solutions into production. This role focuses heavily on service decomposition, enterprise modernization, and next-generation architecture, including experience with MCP servers, agent-based systems, and Generative AI. You will lead the transformation of complex, distributed enterprise ecosystems into scalable, reusable, service-based platforms that are future-ready for AI-driven capabilities. You'll operate in large, global environments where systems have evolved independently across teams and regions. Success in this role requires both deep technical expertise and a pragmatic, execution-driven mindset. THE OPPORTUNITY FOR YOU This is a unique opportunity to shape the future architecture of enterprise platforms by driving a shift from application-centric systems to service-based, reusable ecosystems. You will: Lead service rationalization and decomposition efforts across complex system landscapes Design and build API-first, event-driven architectures that scale globally Work hands-on to develop domain services, integrations, and reference implementations Enable service reuse through catalogs, standards, and governance models Drive legacy modernization using incremental strategies (e.g., strangler pattern) Partner across global teams to influence a platform-first, reuse-first engineering culture Build systems that are ready for AI agents, automation workflows, and next-gen integrations This role is ideal for someone who thrives at the intersection of architecture, engineering, and innovation, and wants to build systems that will power the next wave of intelligent applications. KEY SUCCESS FACTORS (top 3 must haves) 1. Deep Engineering & Architecture Expertise (Execution-Focused) 10+ years of experience in software engineering, architecture, or platform engineering within large-scale enterprise environments Strong hands-on experience with: Microservices & service-oriented architecture API design (REST, GraphQL) Event-driven systems (Kafka or similar messaging platforms) Cloud platforms (AWS, Azure, or GCP) Proven ability to operate across: Hands-on coding and prototyping Architecture design and system modeling Guiding and influencing engineering teams Demonstrated track record of delivering working, production-ready solutions, not just conceptual designs 2. Service Decomposition, Modernization & Platform Transformation Strong experience with: Domain-Driven Design (DDD) Service decomposition and capability modeling Distributed data architectures and integration patterns Hands-on experience: Breaking down monoliths or fragmented systems into reusable services Building shared service layers across teams and domains Implementing strangler pattern and incremental modernization strategies Proven ability to design systems that prioritize: Reuse across teams and regions Clear service boundaries and ownership Long-term scalability and maintainability 3. MCP Servers, Generative AI & Agent-Based Systems Hands-on experience building and deploying MCP server-based architectures and Gen AI agents from scratch through production Strong understanding of how to design systems for an agentic/AI-driven ecosystem Ability to: Integrate AI capabilities into service-based architectures Design services consumable by agents, automation workflows, and external platforms Build future-ready systems with clean contracts and data models to support AI innovation NICE TO HAVES Deep expertise with tools like Claude Code or similar AI-assisted development platforms Experience building service catalogs, registries, or internal developer platforms Exposure to multi-region, post-acquisition, or highly distributed system environments Strong background in platform engineering or internal tooling ecosystems Experience enabling AI/automation workflows at scale within enterprise systems If you're someone who enjoys rolling up your sleeves, solving complex system challenges, and building the foundation for next-generation, AI-ready platforms—this role is built for you. Write this and codense down the Top 3 must haves while including most of the information ABOUT THIS FEATURED OPPORTUNITY We are seeking a hands-on Senior Solutions Architect / Principal Engineer who lives and breathes code and comes from a strong application engineering background. This is not a purely architectural role—we are looking for someone who has built software from scratch, understands modern system design deeply, and has successfully taken solutions into production. This role focuses on service decomposition, enterprise modernization, and next-generation architecture, including experience with MCP servers, agent-based systems, and Generative AI. You will lead the transformation of complex, distributed enterprise ecosystems into scalable, reusable, service-based platforms that are future-ready for AI-driven capabilities. You'll operate in large, global environments where systems have evolved independently across teams and regions. Success requires both deep technical expertise and a strong execution mindset. THE OPPORTUNITY FOR YOU This is a high-impact role where you will drive the shift from application-centric systems to service-based, reusable platforms. You will: Lead service rationalization and decomposition across complex enterprise ecosystems Design and build API-first, event-driven architectures Contribute hands-on to domain services, integrations, and POCs Enable service reuse through catalogs, standards, and governance Drive incremental legacy modernization (strangler pattern) Partner across global teams to influence a platform-first mindset Build systems ready for AI agents, automation workflows, and future integrations KEY SUCCESS FACTORS (top 3 must haves) 1. Strong Engineering & Architecture Execution (10+ years) Deep hands-on experience building and delivering production-grade systems in enterprise environments Expertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/GCP) Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset 2. Service Decomposition & Enterprise Modernization Strong experience with domain-driven design (DDD), service decomposition, and distributed system design Hands-on track record breaking down monoliths/fragmented systems into reusable service layers Experience leading modernization efforts using incremental approaches (e.g., strangler pattern) with a focus on reuse, scalability, and clean service boundaries 3. MCP Servers & Gen AI / Agent-Based Systems Proven experience building MCP server-based solutions and Gen AI agents from concept through production Strong understanding of designing systems for an agentic, AI-driven ecosystem Ability to integrate AI into service architectures and make platforms "agent-ready” for future automation and intelligence NICE TO HAVES Expertise with Claude Code or similar AI-assisted development tools Experience building service catalogs / internal developer platforms Background in highly distributed, multi-region enterprise environments Exposure to AI-driven automation workflows at scale About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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