Solutions Architect

Posted Yesterday
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Dublin, IRL
Hybrid
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
Optimize customer production architectures and guide resilient, scalable, cloud-native application designs. Investigate database and distributed-system performance, evaluate architectural trade-offs, and recommend improvements across applications, APIs, infrastructure, security, and operations. Lead technical discovery with developers, architects, and engineering leaders, while advising on modernization and AI application patterns including Vector Search, RAG, and intelligent agents. Build trusted relationships and influence technical decisions across EMEA customers.
Summary Generated by Built In

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 ForRequired 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

Skills Required

  • 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 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 and translate complex technical findings into clear recommendations
  • Intellectual curiosity, strong problem-solving skills, initiative, and ability to independently drive technical engagements
  • 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

What the Team is Saying

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MongoDB Compensation & Benefits Highlights

  • Parental & Family Support — Family programs are described as a standout, with generous paid parental leave and robust fertility/adoption support plus backup care resources. Feedback suggests these offerings materially enhance the package for caregivers.
  • Healthcare Strength — Health coverage includes medical, dental, and vision alongside mental-health resources and broader wellness initiatives such as MongoDB Bloom. Feedback suggests the breadth of health support is a core strength of the package.
  • Equity Value & Accessibility — Employees can participate in an ESPP, and many roles include RSUs or equity awards. Feedback suggests the equity component is a meaningful part of total compensation.

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The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
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