Description
MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
As a Technical Services Engineer, you will use your exceptional problem-solving and customer service skills, along with your deep technical experience, to advise customers and solve their complex MongoDB problems.
Responsibilities 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. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
Requirements You should have 5+ years of proven experience, with 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
- 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
- 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
Nice to Have
- 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.
- In 6 months, you will be comfortable working frontline with our customers.
- 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 advanced diagnostics.