At a Glance
- Tasks: Design scalable search solutions and guide customers through MongoDB's data platform.
- Company: Join a leading tech company focused on innovative data solutions.
- Benefits: Generous parental leave, fertility assistance, and remote work options.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by shaping search technology for diverse clients.
- Qualifications: 3+ years in search technologies and software development experience required.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you will act as a trusted pre-sales engineer focusing on Atlas Search within Mongo DB’s data platform.
You will guide customers from startups to enterprises in designing reliable, scalable search-enabled solutions and articulate their business value.
You will collaborate with sales and product teams to address complex search deals, provide technical discovery, demos, and proofs of value, and help shape product feedback.
This is a global, remote role with a strong emphasis on cross-functional impact and customer success.
- Pay / Benefits
- generous parental leave policy
- fertility assistance
- accommodations for disabilities
Responsibilities
- Design systems, applications, and infrastructure to leverage Mongo DB and the Atlas Developer Data Platform
- Advise customers on architectures, patterns, and strategies for Mongo DB usage
- Articulate the business value of Mongo DB solutions to executives and stakeholders
- Support sales with technical discovery, demos, proofs of value, sizing, and documentation across multiple opportunities
- Translate technical concepts into business benefits for management and executives
- Serve as a liaison to collect field feedback for Product Management
- Contribute to demand generation via industry events and account-based marketing
- Demonstrate resilience and sound judgment in business challenges
- Mentor other pre-sales team members and share standard methodologies
- Enable other SAs with search knowledge and build demo tools for conceptual demonstrations
- Assist in guiding Vector Search and AI/ML initiatives by aligning customer needs with Product Management
- Champion Mongo DB values in interactions with internal teams and customers
- Key requirements
- 3+ years of search expertise (Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar)
- 3+ years of software development experience
- 3+ years of pre-sales experience with enterprise software
- Solid ability to code in two or more modern scripting languages (e. g., Python, Node. js) and/or major programming languages (e. g., Java, C#, C++)
- Experience with scalable and highly available distributed systems
- Excellent presentation and interpersonal skills
- Bachelor’s degree or equivalent work experience
- Willingness to travel approximately 25% of the time
- presentation skills
- interpersonal communication
- collaboration
- Atlas Search
- Elasticsearch/Lucene/Solr/Algolia/Lucidworks
- two or more programming languages
Senior Solutions Architect (Search Specialist) in London employer: MongoDB
MongoDB is an exceptional employer, offering a dynamic work culture that fosters innovation and personal growth. With a hybrid working model based in London, employees benefit from comprehensive sales training, access to industry-leading sales leaders, and a supportive environment that prioritises wellbeing through various employee programs. Join us to be part of a forward-thinking team that empowers you to excel in the rapidly evolving software market.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect (Search Specialist) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at MongoDB or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to MongoDB.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like MongoDB.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like MongoDB that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Solutions Architect (Search Specialist) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at MongoDB.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MongoDB and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at MongoDB
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If MongoDB uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
