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Key skills for this role
You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal ATSE II candidate should have:
4+ years of relevant experience
Strong understanding and grasp of the following areas
Systems administration
Troubleshooting Systems
Scalable and Highly available distributed systems
Network Administration
Application Architecture
Data architecture and design
Understanding of database architecture and administration
Experience in performance tuning and benchmarking
Previous experience in technical support
A B.Tech / B.S. or equivalent work experience
Comfortable with modern AI concepts and proficient in using AI-assisted tools to accelerate troubleshooting and enhance day-to-day technical support workflows.
Knowledge on one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl
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It’s crucial for every candidate that they can check off all of these boxes
Excellent communication skills, both written and verbal
Genuine desire to help people
Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troubleshooting skills
Ability to think on your feet, remain calm under pressure and solve problems in real-time
Desire and ability to rapidly learn a wide variety of new technical skills
Strong teamwork: willingness and ability to get help from team members when required, and the good judgment to know when to seek help
In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training.
In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam.
In 12 months, you will work on gaining expertise to be a part of a technical experts group within the MongoDB ecosystem and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently.
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 75% of the Fortune 100 and AI-native startups, 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 an equal opportunities employer.
Developer data platform built around the popular document database, enabling teams to build and scale modern applications with flexible data models.
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