Solutions Architect
Posted Updated
Summary
A Solutions Architect based in Dublin works with MongoDB customers across EMEA to optimize production database and cloud architectures, guiding decisions on scalability, resilience, AI, and application modernization while building trusted technical relationships.
- 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
- You’ll help customers optimize what they run today while influencing the architectures and applications they build tomorrow
- 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
- Improve How Customers Build and Operate: Look beyond technology to understand development workflows, operational practices, team capabilities, and architectural ownership. Identify opportunities to improve how applications are developed, deployed, and managed
- Build Trusted Technical Relationships: Establish credibility through technical expertise, curiosity, and sound judgment. Proactively identify architectural risks and opportunities, challenge assumptions constructively, and collaborate with MongoDB Technical Support, Professional Services, and product specialists when deeper troubleshooting or implementation expertise is required
- 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
- We value architects who look beyond the immediate problem, investigate underlying causes, challenge assumptions, and bring informed technical perspectives to customer conversations
- 5+ years of experience in software engineering, solutions architecture, technical consulting, or related technical roles, including customer-facing technical engagement
- Ability to engage confidently with developers, architects, and technical leaders, translating complex technical findings into clear recommendations
- Working knowledge of cloud infrastructure and application architectures on AWS, Azure, or Google Cloud
- 2+ years of professional programming or scripting experience using languages such as Python, Java, JavaScript/Node.js, C#, C++, or SQL
- Practical experience investigating technical issues, analyzing performance, and evaluating architectural trade-offs
- Intellectual curiosity, strong problem-solving skills, initiative, and the ability to independently drive technical engagements
- Strong understanding of database technologies, distributed systems, modern application architectures, and high availability
- Experience with MongoDB, Atlas, NoSQL, or relational database technologies
- Exposure to Kubernetes, Kafka, microservices, APIs, event-driven architectures, or application modernization
- Familiarity with query optimization, indexing, data modeling, replication, and database scaling
- Understanding of AI application patterns, Vector Search, RAG, or agentic systems