Level

MongoDB

Technical Services Engineer

MongoDB is hiring a Technical Services Engineer in Gurugram, India. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include MongoDB Atlas, Kubernetes and Docker.
  • Level classifies it as a mid-level role.
  • Level lists 381 other open roles at MongoDB.

AI in this role

Technical Services Engineer providing advanced support, architecture guidance, and troubleshooting for MongoDB customers globally.

mongodb-atlaskubernetesdocker
database-administrationtroubleshootingperformance-tuningcustomer-support

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud, and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork, and a great sense of humor to help our customers be successful with MongoDB.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. The position will be based in our Gurugram office. The standard work week will be Sunday to Thursday, every week.

Cool things you’ll do

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.

What you need

You should have 5+ years of proven experience, we consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted.

The ideal candidates should have strong technical experience in more than one of the following areas

  • Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
  • Understand core Kubernetes concepts, including containers, namespaces, custom resources and multi-cluster deployments
  • Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
  • Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
  • Experience building and maintaining complex mission-critical production database systems
  • Broad awareness of customer workloads and use cases, including performance, availability, and scalability
  • Experience analyzing issues holistically, from the application tier through the database, down to the storage
  • Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
  • Desire and ability to rapidly learn a wide variety of new technical skills

If you have an operations background, we prefer experience administering large-scale production environments, including hardware, operating systems (e.g. Linux, Windows), networks (including firewalls and load balancers), as well as cloud-based resources (e.g. AWS, Azure, Google Cloud Platform).

You should possess a genuine desire to help people, the ability to think on your feet and remain calm under pressure while solving problems in real-time. There’s a lot to learn, so the desire and ability to rapidly learn a wide variety of new technical skills is paramount. We work in a collaborative team environment, so a willingness and ability to get help from team members when required, and good judgment to know when to seek help, is essential. We also aim to have diverse technical backgrounds and therefore different subject matter expertise is welcome.

You do not need to have prior experience with MongoDB. We can teach you that!

Bonus Points

  • Experience managing large scale databases (e.g. RDBMS, NoSQL)
  • Experience with authentication systems such as LDAP, Kerberos, AD
  • Experience using or managing MongoDB
  • Experience using distributed version control systems, and in particular git
  • Experience using any cloud services stack such as AWS, Azure or GCP
  • Experience with virtualization, Docker, Kubernetes (including CLI), ability to inspect resource / container status using relevant utilities and commands

Success Measures

  • 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 MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently.

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 - 3273536189

How we rate this

Technical Services Engineer at MongoDB rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Database AdministrationTroubleshootingPerformance TuningCustomer SupportMongoDB AtlasKubernetesDocker

Questions you could be asked

  1. Tell me about a project where database administration was part of your work. What did you do?
  2. Tell me about a project where troubleshooting was part of your work. What did you do?
  3. Tell me about a project where performance tuning was part of your work. What did you do?
  4. Tell me about a project where customer support was part of your work. What did you do?
  5. Walk me through how you've used MongoDB Atlas in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Database Administration, Troubleshooting, Performance Tuning, Customer Support, and MongoDB Atlas. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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