Solutions Architect

At MongoDB, we're looking for a technically accomplished Solutions Architect who thrives on solving complex problems, understanding how systems work, and helping customers make better architectural decisions. You'll work with established MongoDB customers running production applications, applying hands-on expertise across databases, distributed systems, cloud infrastructure, application architecture, and emerging AI technologies.

As part of a globally distributed Solutions Architecture team, you'll engage with customers across multiple EMEA markets rather than being dedicated to a small number of accounts. This regional reach offers exposure to diverse industries, technologies, and architectural challenges, with opportunities to recognize patterns, build trusted technical relationships, and influence decisions across a broad customer landscape. You'll have the autonomy to drive meaningful technical engagements while drawing on the expertise of specialists and colleagues worldwide.

We value architects who look beyond the immediate problem, investigate underlying causes, challenge assumptions, and bring informed technical perspectives to customer conversations.

You'll help customers optimize what they run today while influencing the architectures and applications they build tomorrow.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

What You'll Do

• Optimize Production Architectures: Analyze MongoDB workloads, query execution, indexing, data models, cluster configurations, and resource utilization. Identify performance bottlenecks, scalability constraints, and cost optimization opportunities
• Engineer for Resilience and Scale: Evaluate distributed architectures, replication, sharding, high availability, backup and recovery, and disaster recovery strategies. Help customers understand technical trade-offs and design for evolving production requirements
• Think Beyond the Database: Assess how MongoDB interacts with application services, APIs, networking, security, cloud infrastructure, and adjacent technologies. Identify opportunities to simplify architectures, reduce technical debt, and improve operational efficiency
• Shape Future-State Architecture: Guide technical discussions around application modernization, cloud-native design, and AI-powered applications. Explore architectural considerations involving Search, Vector Search, RAG, intelligent agents, and their integration with operational data
• Lead Technical Discovery and Design: Engage developers, architects, and engineering leaders to investigate complex challenges, analyze technical evidence, assess architectural trade-offs, and develop actionable recommendations. Provide hands-on technical investigation and targeted validation to guide decisions, rather than owning ongoing support cases or implementation projects