At this year’s MongoDB World, our all-star lineup of keynotes is so packed that we couldn’t fit them all in one blog post. In addition to comprehensive technical sessions, one-on-one consultations, and networking with industry professionals, join us at MongoDB World to hear from these tech industry leaders.
Meet some of our featured keynote speakers:
After being inspired by our keynote speakers, strengthen your skills at any of the 80+ sessions. Join us at MongoDB World to learn best practices for using MongoDB, directly from the experts.
Bond & MongoDB: Delivering Thoughtfulness at Scale Using MongoDB Atlas & AWS
On the third floor of a pre-war building in Manhattan’s Chelsea neighborhood, you might not expect to stumble upon a fleet of hundreds of handwriting robots. However, in the offices of Bond , that’s exactly what you’ll find. Bond began in 2013 as a gifting company, adorning each of their gifts with a handwritten note. It soon became clear that the note (and not the gift) would be the kickstart to Bond’s success. Bond’s notes are generated with proprietary machine learning algorithms that mimic the way we write letters. The team examines the way different letters of the alphabet relate to each other and recreate that effect using NodeJS and their purpose-built robotic fleet. It’s one of the few companies where you’ll find calligraphers sitting alongside software engineers. Selecting MongoDB over MySQL While novelty may be part of the reason Bond’s notes catch the attention of millions of senders and recipients across the world, the company’s mission is more elegant: to equip anyone with the technology to be more thoughtful to the important people in their lives. This mission resonated with thousands of new Bond customers , who quickly pushed the limits of Bond’s existing technical infrastructure. Originally built on MySQL running in Amazon Relational Database Service (RDS), the platform through which customers create and order notes was seeing upwards of 1,000 read operations per second. This read workload came at the expense of write consistency. The business was scaling exponentially but their database wasn’t keeping pace. Before long, the engineering team was spending more cycles troubleshooting issues with the datastore rather than building out the core product offering. Bond’s CTO began evaluating other options with a particular focus on NoSQL databases for their horizontal scalability. However, the team quickly realized that most NoSQL databases weren’t ready for primetime—they either lacked the required querying capabilities or were too infrastructure-intensive for their rapidly-growing requirements. MongoDB was ultimately selected for its robust ecosystem, expressive query language, and scalability. Migrating to MongoDB Initially, Bond chose to continue to route write operations to MySQL and pass them to a hosted MongoDB instance where the data could be read at a much higher frequency. However, the team has since migrated completely to MongoDB as their database of record. Ensuring a more stable IOPS load enabled the platform to scale, and therefore allowed Bond to process more orders. In the 6 months after migrating to MongoDB, Bond fulfilled twice as many orders than in the previous 2 years on MySQL. Throughout the process, the team also transitioned from working with PHP to building predominantly in Node with Python for machine learning. Having used a managed service on AWS for MySQL, Bond's team was eager to hand over the day-to-day management of the database so they turned to Compose.io, a third party MongoDB service provider. While offloading their MongoDB management to a Compose-hosted deployment on AWS enabled the team to return focus to the consumer-facing portions of their app, it became apparent that the lack of encryption and features in the most recent releases of MongoDB were becoming a security and operational hurdle. Finding MongoDB Atlas Prompted by their need for end-to-end encryption and the upcoming support for the Decimal 128 data type in MongoDB 3.4 , Bond began migrating their data from Compose to MongoDB Atlas shortly after its debut in the summer of 2016. MongoDB Atlas exposed all of the latest functionality of the underlying database, allowing Bond’s technology to not only keep pace with their rapidly-growing business, but to also accelerate to the point where innovation is now driving their business growth. The team has since built a machine data analytics platform to understand and optimize the performance of their robotic fleet, allowing them to fulfill more orders with the same proprietary infrastructure. Using the Connector for Apache Spark , Bond is also using machine learning to extract usage data from MongoDB to anticipate the needs of their many types of customers. To see Bond in action, watch our video with Chief Product Officer, Sam Broe:
How to Prepare for Your Engineering Interview at MongoDB
MongoDB’s Engineering team is full of creative individuals who play an impactful role in building our industry-leading technology. Our interview process is designed to ensure that you and MongoDB are a great match, and, no matter how many interviews you have done in the past, being prepared is the key to being successful. At MongoDB, we do our best to make sure you have a great interview experience and an opportunity to learn about our company, culture, and the people you will be working with. To help you prepare for your technical interviews, we want to share some tips. Research is key Candidates who do research and come prepared for interviews at MongoDB are able to make the most of their interview process. People sometimes think they do not need to do research because they are already familiar with our products, but that will set you up for unexpected surprises. Before beginning your interviews, you should have high-level knowledge of our company’s mission, values, and goals . The in-depth technical information you can learn about MongoDB and the role and team you are interviewing for may also help set you apart from other candidates. MongoDB has a variety of products and Engineering teams, and this information will give you a chance to learn more about what we are working on, technical stacks we use, and what you’d be contributing to if you joined. Take a look at some of the resources below, and use them to your advantage. MongoDB Blog : Our blog is updated regularly with new posts about life at MongoDB, news, products, and events. MongoDB University : This platform was created to empower developers through education. We offer completely free online courses led by Curriculum Engineers for any learner, whether you’re just getting started or already familiar with MongoDB. MongoDB Documentation : The documentation page has detailed information about our products and tools that will give you an idea of what you will be working on as an engineer. MongoDB Developer Hub : The developer hub provides articles on and resources for how to get started with MongoDB. Learn from our Developer Advocates and the MongoDB community! Types of interviews After doing some initial research, it is important to prepare for the actual interviews. Our interview process usually includes one or two virtual interviews and then an onsite interview, which we are currently conducting via Zoom. This may change in accordance with company and COVID-19 guidelines. These interviews and what they cover will vary by team, so it is important to speak with your recruiter and ask for any additional tips or insight into what to expect. Our recruiting process is primarily team-based, which means you’ll interview for a role on a specific team, and many of your interviewers will be team members, as well as your manager. In general, you can expect to receive questions about your background, interest in MongoDB, and why you are interviewing to work with that team. You’ll also have the opportunity to ask your interviewers questions about all things MongoDB. Technical Interviews Technical interviews have a variety of areas that may be covered, including concurrency, distributed systems, algorithms, system design, and language-specific coding. An important part of the technical interview that often goes under the radar is the need for effective communication when talking through your thought process or discussing the problems that are presented. Below are some of the things our engineers look for in a good technical performance. Writing code: strong understanding of the language being used, code is concurrency-safe, works in edge cases, good object-oriented design Software engineering: understanding of data structures and algorithms, considering trade-offs (e.g., run time vs. memory), testing your code Collaboration: clear and concise code that is readable and organized, responding well to suggestions or hints, effective communication about difficulties faced Systems design: design a solution to scale to high levels of concurrency, throughput, and reliability. Does it avoid common bottlenecks, how do we prove its correctness, and what are the trade-offs or alternative solutions? Behavioral Interviews Behavioral interviews focus on how you may add to the culture we continue to build at MongoDB. Reviewing our code of conduct and core values will show you how we operate as a company and what we expect from our employees. Other topics of discussion you should expect in these interviews are successes and failures, what you have learned from these experiences, and what you are looking for in your next role. We will also ask you about your experience with mentoring and learning from other engineers and leaders, your goals and aspirations for the future, and your experience with owning or leading projects. What we offer There are a few things we can promise if you decide to interview for an Engineering role at MongoDB. First, you’ll have a speedy and transparent process with a single, dedicated recruiter. We tailor each of our interview processes to fit the role’s responsibilities and seniority level, and you won’t be asked any riddle questions that aren’t related to the work you’d be doing. Our interview questions are typically sourced from real problems we have had to solve. You’ll also have the opportunity to interact with your future manager and some future teammates, and we hope you find that your interviewers are genuinely interested in you as a person and seeing you succeed at MongoDB. We believe different experiences, identities, and perspectives build a unique culture that helps us create and innovate the next generation of MongoDB. In short, following this guide will help prepare you for a successful interview at MongoDB. Ensure you have gained some knowledge about our company, mission, and goals; the role you’re interviewing for and the team you’d be working on; and the types of interview questions you may be asked. And be prepared with questions for us! We’re so glad you’re interested in joining our team, and we look forward to seeing you in the interview process. Interested in pursuing a career in engineering at MongoDB? We have several open roles on our teams across the globe and would love for you to transform your career with us!