Technical Services Engineer
MongoDB is hiring a Technical Services Engineer in Mexico City, Mexico. 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 Linux, Java and Python.
- Level classifies it as a mid-level role.
- Level lists 381 other open roles at MongoDB.
AI in this role
Provide technical support and database expertise for MongoDB enterprise customers, managing complex infrastructure and performance issues.
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 achieve exceptional results for our customers.
We are looking to speak to candidates who are based in Mexico City for our hybrid working model.
Cool things you’ll do
MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.
You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working 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. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.
What you need
We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.
It’s important for candidates to check off these boxes:
- Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
- 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
- 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.
- 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
- Genuine desire to help people
- 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
- Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help
- Strong written and verbal English communication skills are required
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 Kubernetes or other orchestration systems using vendor-specific Enterprise operators
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 be a technical specialist 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 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 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: 2273491189
How we rate this
Technical Services Engineer at MongoDB rates 0 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
- Tell me about a project where storage engineering was part of your work. What did you do?
- Tell me about a project where database administration was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Systems Engineering, Networking, Storage Engineering, Database Administration, and Troubleshooting. 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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