Senior Solution Architect
Listed on 2026-09-03
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IT/Tech
Systems Engineer, IT Consultant, Cloud Computing: Infrastructure & Operations, Systems Analyst
Lotus Flare is a provider of cloud-native SaaS products based in the heart of Silicon Valley. Founded by the team that helped Facebook reach over one billion users, Lotus Flare was founded to make affordable mobile communications available to everyone on Earth.
Today, Lotus Flare focuses on designing, building, and continuously evolving a digital commerce and monetization platform that delivers valuable outcomes for enterprises. Our platform, Digital Network Operator® (DNO™) Cloud, is licensed to telecommunications services providers and supports millions of customers globally.
Lotus Flare has also designed and built the leading eSIM travel product - Nomad. Nomad provides global travelers with high-speed, affordable data connectivity in over 190 countries. Nomad is available as an iOS or Android app or via getnomad.app.
SummaryAs a Senior Solution Architect, you will be responsible for all technical aspects of pre-sale, solutioning and delivery of projects. You are responsible for ensuring project goals are met and customer expectations are fulfilled. This role requires strong technical expertise, the ability to translate complex problems into elegant solutions, and a deep understanding of how AI can accelerate architecture & delivery.
You must have a solid understanding of project management fundamentals and must be comfortable communicating with senior leadership verbally and in writing. We ask for a lot, but we also offer a lot!
- Deeply understand Lotus Flare's DNO platform, system architecture and integration components.
- Deliver customized pre-sales technical presentation and product demonstrations to customers
- Assist in the development of RFI/RFP responses and drive to close new opportunities
- Engage with potential customers to understand their business objectives and demonstrate the value proposition of LF DNO platform
- Work with Lotus Flare engineering and product teams as well as externally with customer technical teams to propose and help clients build solutions around the LF DNO platform and infrastructure.
- Drive project execution technical track; track delivery, take ownership of change management, proactively seek and resolve blockers.
- Manage UAT and production releases, and project handover to our support and operational teams.
- Act as a key interface between the customer and the Lotus Flare organization including product, engineering, support and business.
- Support project management activities, ensuring issues are documented and addressed.
- Be a part of a Global Delivery Team, share experiences and develop the discipline: simplify processes, methods and tools with creative ideas
- Troubleshoot customer technical issues in real time
- Create documentation and develop best practices to help customers get the most out of using the system
- 5+ experience in Technical lead, Technical Program Management, or similar technical leadership role.
- 3-5 years of experience with software development lifecycle from conception to delivery as a software engineer working on highly scalable server platforms.
- Familiarity with modern AI/ML concepts, LLMs, vector databases, embeddings, model evaluation, and responsible AI principles.
- Experience applying AI to practical use cases (automation, analytics, decision engines, personalization, support tools, anomaly detection, etc.).
- Experience working with the telecommunications industry is nice to have
- You are a digital savvy individual that knows the latest digital technologies and trends; you enjoy to experiment and are open to integrating new digital technologies in everyday work.
- Proficient in client server interaction design, security trends, IP networking and cloud infrastructure architecture
- Experience in delivering products against a plan in a fast-paced, multi-disciplined, and often ambiguous environment
- Experience working independently to design, plan, and execute technical projects
- Able to distill data and articulate the rationale for making difficult trade-offs
- Demonstrated understanding of systems within program space to include limitations, scaling, boundary conditions, and architectural…
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