Solutions Architect
MongoDB is hiring a Solutions Architect in Dublin, Ireland. Level rates it ; you can apply on Level.
Level's read on this job
- Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Vector Search, RAG and solutions architecture.
- Level lists 400 other open roles at MongoDB.
- The role was posted in the last few days.
AI in this role
Solutions Architect helping customers optimize database architectures, cloud infrastructure, and AI-powered applications including RAG and vector search.
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
- 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
What We're Looking For
Required Qualifications
- 5+ years of experience in software engineering, solutions architecture, technical consulting, or related technical roles, including customer-facing technical engagement
- 2+ years of professional programming or scripting experience using languages such as Python, Java, JavaScript/Node.js, C#, C++, or SQL
- Strong understanding of database technologies, distributed systems, modern application architectures, and high availability
- Practical experience investigating technical issues, analyzing performance, and evaluating architectural trade-offs
- Working knowledge of cloud infrastructure and application architectures on AWS, Azure, or Google Cloud
- Ability to engage confidently with developers, architects, and technical leaders, translating complex technical findings into clear recommendations
- Intellectual curiosity, strong problem-solving skills, initiative, and the ability to independently drive technical engagements
Preferred Qualifications
- Experience with MongoDB, Atlas, NoSQL, or relational database technologies
- Familiarity with query optimization, indexing, data modeling, replication, and database scaling
- Exposure to Kubernetes, Kafka, microservices, APIs, event-driven architectures, or application modernization
- Understanding of AI application patterns, Vector Search, RAG, or agentic systems
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273577424
How we rate this
Solutions Architect at MongoDB rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $168k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where database optimization was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Solutions Architecture, Database Optimization, Distributed Systems, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote solutions architect jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote solutions architect jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Sales roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step