Why This Role Stands Out
This leadership role offers a unique opportunity to shape the future of AI and distributed systems, driving technical vision and mentoring a talented team. You'll thrive here if you're a hands-on technical expert passionate about designing, building, and scaling complex systems, with a desire to integrate cutting-edge AI solutions. Embrace this chance to make a significant impact and advance your career in a dynamic, hybrid environment.
Quick Overview
Seniority
Leader
Work mode
Hybrid
Location
Denver, CO, United States
Posted
2 weeks ago
MicroservicesSpringSpring BootGoJava
Job Description
Principal Solutions Architect (AI & Distributed Systems)
We are seeking an exceptional Principal Solutions Architect who is a highly skilled, hands-on technical expert dedicated to designing, building, operating, and scaling robust, reliable software systems.
Key Responsibilities
- Strategic Collaboration: Partner closely with stakeholders, including Product Managers, Engineering Managers, CxO leaders, and core engineering teams.
- Design & Delivery Ownership: Create optimal technical designs for distributed systems. Take ownership of end-to-end software delivery, guaranteeing alignment with approved designs and technology stacks.
- Documentation Excellence: Produce comprehensive system design documents, including logical designs with data flow, deployment architectures, High-Level Design (HLD), and Low-Level Design (LLD) addressing functional and non-functional requirements (security, scalability, performance, availability, reliability).
- AI/Gen AI Integration: Design and implement AI/Gen AI-based agentic technical solutions where appropriate.
- Operational & Incident Management: Provide critical L3/L4 engineering support, actively participate in production incident calls, triage incidents to achieve the shortest Mean Time to Recovery (MTTR), and develop quick recovery fixes and long-term preventive solutions.
- Mentorship & Growth: Act as a teacher, reviewer, and mentor, providing technical guidance to engineers, domain experts, and individual contributors.
- Driving AI-Enabled Practices: Establish and champion best practices for software development, leveraging AI across development, testing, and CI/CD pipelines.
- Technical Direction: Contribute to the organization’s overall technical vision, driving the adoption of best-in-class engineering practices, automation, and AI agentic solutions.
Required Qualifications & Skills (Must-Haves)
- Extensive Hands-On Experience: 15+ years of hands-on coding, HLD, and LLD creation. Proven track record managing diverse, complex systems (backend, frontend, caches, databases, messaging systems, middleware, and cloud).
- Architectural Experience: 6+ years as a hands-on Technical Architect.
- AI Specialization: At least 2 years specializing in AI Agentic solutions.
- Distributed Systems Mastery: 5+ years of experience designing and architecting distributed systems at internet or enterprise scale. Knowledge of frontend applications, micro-frontends, MVVM design patterns, and component architecture.
- Cloud Architecture: Strong expertise in building highly scalable and highly available software in cloud, on-premise, or hybrid environments using container and serverless technologies.
- Core Programming: Proven experience with microservices architecture and strong programming proficiency in Java/Spring Boot or Golang.
- Data Modeling: Strong hands-on experience selecting and designing data models for services (RDBMS and NoSQL: document, graph, or column stores).
- SDLC Fluency: Comprehensive understanding of all Software Development Life Cycle (SDLC) phases: Analysis, Design, Development, Testing, Deployment, and Post-Production Support.
Highly Desirable (Added Advantages)
- Experience in a product-based or hyper-growth environment.
- Experience with Frontend applications (Mobile, Web).
- Working knowledge of Domain-Driven Design (DDD).
- Prior domain experience in Telecom BSS/OSS domains.
- Hands-on experience with Data and AI technologies.
Education
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or an equivalent field.
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