Technical Services Engineer, 1st Shift, EST hours

MongoDB•New York, NY

1d•$90,000 - $176,000•Remote

About The Position

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 with candidates based on the east coast for this remote role. After a 6-9 month ramp period, Monday to Friday from 7 AM - 4 PM EST, the schedule will shift permanently to Saturday to Wednesday or Wednesday to Sunday from 7 AM - 4 PM EST. There will be a 20% uplift on your base salary for this weekend shift & there are no on-call requirements for your off days. Shifts include a mandatory 1 hour lunch break. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Requirements

Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting.
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.
Ability 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.
Willingness and ability to get help from team members when required, and the good judgment to know when to seek help.
Be a US Citizen.

Nice To Haves

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.

Responsibilities

Advise customers and solve their complex MongoDB problems.
Be an expert in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure, including services like Atlas and Cloud Manager.
Resolve customer issues related to architecture, performance, recovery, and security.
Serve as an expert resource on standard methodologies for running MongoDB at scale.
Act as an advocate for customers' needs, working with product management and development teams.
Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.
Mentor and ramp new team members.
Take initiative in building knowledge of new product lines within the MongoDB ecosystem.