Cloud Operations Engineer (2nd Shift, Weekend)

MongoDB; United States; On-site; USD 90,000 - 176,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health insurance

Parental leave

Job summary

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer.

As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud.

Qualifications

• Experience as an on-call DevOps, SRE, or Cloud Operations engineer (≥2 years).
• Strong Linux system administration, configuration, and troubleshooting skills.
• Experience with monitoring, performance data collection and reporting.
• Knowledge of DNS, TCP/IP and networking concepts.
• Familiarity with AWS and other cloud platforms (GCP, Azure).
• Ability to write scripts to solve operations problems.
• CS/CE degree or equivalent experience.
• Proficiency in Java, Go, Python, or JavaScript.

Responsibilities

• Coordinate with a global team of Cloud Operations Engineers to maintain uptime guarantees for Atlas customers.
• Scale the Cloud Operations Engineering team with new processes and tools.
• Scope, design, and deploy systems reducing mean time to resolution for incidents.
• Monitor Atlas platform for incidents and assist in proactive resolution.
• Automate routine monitoring and troubleshooting tasks.
• Diagnose live incidents and distinguish platform issues from usage issues.
• Collaborate with product management and cloud engineering to improve management applications.
• Inform executives and escalation teams about major outages.
• Participate in weekly on-call rotations, handling incidents as needed.

Skills

On-call DevOps

Linux admin

Monitoring

Networking

Cloud platforms

Scripting

Java

Go

Python

JavaScript

Learning new things

Education

CS/CE degree or equivalent

Tools

Kubernetes

Splunk

MongoDB

Job description

MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest‑growing multi‑cloud database‑as‑a‑service in the world. You are prepared to be one of the founding members of a 24/7/365 global cloud operations team.

Cloud Operations Engineers will be responsible for day‑to‑day duties such as creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escape issues that are sometimes broad in scope and difficult to trace.

FedRamp engineers are specifically tasked with supporting our government customers in our FedRamp Atlas environment. This includes SLED (State and Local Government and Education), various federal agencies, and other customers that leverage FedRamp.

At MongoDB you will grow your career and skills, wear multiple hats, and be part of an operations team that works at the frontier of Cloud services and database systems.

Responsibilities

• Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
• Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools
• Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents
• Monitor and detect emerging customer‑facing incidents on the Atlas platform; assist in their proactive resolution
• Automate routine monitoring and troubleshooting tasks
• Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution
• Cooperate with our product management and cloud engineering organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure
• Inform executive leadership and escalation management personnel of major outages
• Coordinate and participate in a weekly on‑call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers)

Requirements

• Experience with being an on call DevOps, SRE, or Cloud Operations engineer (at least 2 years)
• Expertise with Linux system administration, configuration, troubleshooting
• Experience in monitoring, system performance data collection and analysis, and reporting
• Expertise with networking technologies like DNS, TCP/IP, etc.
• Knowledge of database operations and concepts
• Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
• Capability to write small programs/scripts to solve both short‑term systems problems
• A CS/CE degree or equivalent experience
• At least 1 of the following programming languages: Java, Go, Python, Javascript
• A keen interest in learning new things

Special requirements

• Be a US Person (i.e. U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee)
• Willingness and ability to participate in pager duty rotations during nights, weekends and holidays (approximately one out of every six weeks), at least during an initial ramping period (and potentially permanently).
• Willingness and ability to work 2nd shift weekend hours (3pm - 12am EST; Saturday - Wednesday)

Nice To Have

• MongoDB
• Splunk
• Kubernetes

Benefits include

• Competitive salary, equity, pension and health insurance
• Regular performance, compensation and development reviews
• 20 weeks Maternity & Paternity leave to spend time with new arrivals

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully‑paid gender‑neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender‑inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

$90,000 — $176,000 USD

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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.