- Home
- Jobs
- Architecture
- Solutions Architect
Solutions Architect
On this page
TechJobs.ie Job Insights
At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Category
- Architecture
Technologies & skills
What you'll be doing
MongoDB seeks a Solutions Architect in Dublin to engage with EMEA customers, optimize production architectures, evaluate distributed systems, and guide technical decisions across databases, cloud infrastructure, and emerging AI technologies. The role emphasizes hands-on technical investigation and building trusted technical relationships.
Key requirements
Must-have
- 5+ years experience in software engineering, solutions architecture, technical consulting, or related technical roles with customer-facing engagement
- 2+ years professional programming or scripting experience using 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 ability to independently drive technical engagements
Nice-to-have
- 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
Experience: 5+ years in relevant technical roles; 2+ years programming or scripting
Role signals
- Technical focus
- solutions architecture, distributed systems, databases, cloud infrastructure, AI technologies
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
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
-
Mongo
-
DB 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
-
Mongo
-
DB 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
-
Mongo
-
DB
-
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
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Solutions Architect role at MongoDB in Dublin focuses on guiding customers through complex architectural decisions, optimizing production systems, and influencing future-state architectures across diverse industries and technologies.
- Hands-on technical expertise·High
- Customer-facing communication·High
- Cloud and distributed systems knowledge·High
- Curiosity and problem-solving·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review MongoDB and Atlas Documentation
0–8 minStudy MongoDB's architecture, performance tuning, and Atlas cloud features to prepare for technical discussions.
Refresh Cloud and Distributed Systems Knowledge
8–15 minRevisit key concepts in AWS/Azure/GCP, distributed databases, and high availability strategies.
Prepare STAR Stories for Technical Problem Solving
15–22 minDraft concise examples from your experience that demonstrate performance optimization, architectural trade-offs, and customer engagement.
Research AI Integration and Vector Search Use Cases
22–26 minFamiliarize yourself with how AI and vector search are being used in modern data architectures.
Plan Role-Specific Questions
26–30 minSelect and tailor questions to ask the interviewers about team structure, challenges, and success metrics.
Talking points
, 5 itemsOptimizing Production Architectures
Be ready to discuss how you have analyzed and improved database workloads, identified bottlenecks, and recommended optimizations in real-world scenarios.
Designing for Resilience and Scale
Prepare examples where you evaluated or implemented high availability, replication, sharding, or disaster recovery strategies in distributed systems.
Cloud-Native and Modern Application Architectures
Demonstrate your experience with cloud platforms (AWS, Azure, GCP), microservices, Kubernetes, and how you have helped organizations modernize applications.
Technical Discovery and Stakeholder Engagement
Showcase your ability to lead technical investigations, communicate findings, and influence architectural decisions with both technical and non-technical stakeholders.
AI and Emerging Technologies Integration
Highlight any exposure to AI application patterns, vector search, or integrating intelligent agents with operational data, as these are emerging focus areas.
What to research
, 4 itemsMongoDB and Atlas Platform
Review MongoDB's core features, Atlas cloud platform, and best practices for performance, scaling, and resilience.
Cloud Infrastructure (AWS, Azure, GCP)
Refresh your knowledge of cloud-native architectures, managed services, and deployment patterns relevant to database workloads.
Distributed Systems and Modern Application Patterns
Study concepts such as replication, sharding, microservices, Kubernetes, and event-driven architectures.
AI Integration and Vector Search
Understand how AI, vector search, and retrieval-augmented generation (RAG) can be integrated with operational data platforms.
Questions to ask
, 6 itemsHow does the Solutions Architecture team at MongoDB collaborate with other technical teams, such as Professional Services or Product Engineering?
Why ask this? Clarifies cross-team collaboration and available support resources.
What are the most common architectural challenges faced by your EMEA customers today?
Why ask this? Helps you understand the real-world problems you will be solving.
How does MongoDB support ongoing learning and development in emerging technologies like AI and cloud-native patterns?
Why ask this? Shows your interest in continuous learning and adapting to new trends.
What does success look like for a Solutions Architect in the first 6-12 months?
Why ask this? Clarifies expectations and key performance indicators for the role.
Can you describe a recent example where a Solutions Architect influenced a customer's architectural direction?
Why ask this? Gives insight into the impact and scope of the role.
How are technical engagements prioritized and assigned across the EMEA region?
Why ask this? Helps you understand workload management and regional focus.
Register now to upload your CV
Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.