Green Card Cloud Operations Engineer Jobs
Cloud Operations Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available before filing your I-140 petition. Cloud infrastructure expertise in areas like AWS, Azure, and Kubernetes strengthens your sponsorship case considerably.
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INTRODUCTION
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 early 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 system's alert dashboards, reviewing critical events 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 escalate issues that are sometimes broad in scope and difficult to trace.
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.
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 Person 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. This job posting is for the Third Shift, in which your working hours would be 11pm-8am ET.
We are looking to speak to candidates who are based in the United States for our remote or hybrid working models Monday to Friday for the first 3-6 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday-Sunday (preferred) or Saturday-Wednesday 11pm-8am ET work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call 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.
Responsibilities
- Successfully coordinate and collaborate 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 and refinement 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
- Assist in performing root cause analysis after incident recovered; identifying any breakdowns in processes or workflows that contributed to the event and what changes need to be made to prevent similar events
- Contribute to documentation of corner case scenarios, troubleshooting workflows and SOPs
- Work alongside our product management, cloud engineering and support 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 (proactively from automated monitoring or through reactive alerts via our Technical Services team)
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
- Knowledge of database operations and concepts
- Expertise with networking technologies like DNS, TCP/IP, etc.
- Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
- Knowledgeable about a wide range of web and internet technologies
- 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 Citizen
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
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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 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, 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.
Req ID: 1273369056
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Cloud Operations Engineer
Document your cloud certifications before applying
AWS, Azure, and GCP certifications are strong credentials for PERM-based sponsorship because they substantiate the specialized requirements an employer lists in the labor certification, making it harder for DOL to require a broader candidate search.
Target employers already enrolled in E-Verify
Employers enrolled in E-Verify have an established compliance infrastructure, which correlates with familiarity in sponsoring employment-based green cards. Many STEM-heavy cloud teams at mid-to-large tech firms fall into this category.
Search green card sponsors using Migrate Mate
Use Migrate Mate to filter Cloud Operations Engineer roles by employers with active PERM and I-140 filing history, so you're targeting companies that have already navigated employment-based sponsorship rather than pitching the process cold.
Align your job title to PERM requirements early
The job title and duties on your offer letter must match the PERM application exactly. Ambiguous titles like 'cloud generalist' can complicate the labor certification audit, so push your employer to use a precise, DOL-recognized occupational classification from the start.
Understand EB-2 versus EB-3 before negotiating your offer
Cloud Operations Engineers with a bachelor's degree typically file under EB-3, while candidates with a master's degree or a combination of advanced credentials may qualify for EB-2, which can mean shorter priority date waits depending on your country of birth.
Request concurrent I-485 filing if your priority date is current
If your country's priority date is current when your employer files the I-140, you can file the I-485 adjustment of status at the same time, keeping you authorized to work in the U.S. without gaps while USCIS processes your green card.
Green Card Cloud Operations Engineer: Frequently Asked Questions
Does a Cloud Operations Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Cloud Operations Engineer positions qualify under EB-3 as skilled workers requiring a bachelor's degree in computer science, information technology, or a related field. If your role requires a master's degree or you hold one and the employer specifies it as a minimum requirement, EB-2 may apply. The PERM labor certification must accurately reflect the minimum education and experience the job genuinely requires.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary status with a six-year base limit and an annual lottery, while EB-2 and EB-3 green card sponsorship leads to permanent residency with no cap on annual approvals at the EB-3 skilled worker level. The PERM process does add time upfront, typically 12 to 24 months before the I-140 is even filed, but the end result is a path to permanence rather than repeated renewals.
What wage level does DOL require for a sponsored Cloud Operations Engineer?
Your employer must pay at least the prevailing wage for your specific role, location, and job zone as determined by DOL's OFLC Wage Search. Cloud Operations Engineers typically fall at wage levels II through IV depending on seniority. Paying below prevailing wage is a common reason PERM applications are audited or denied, so your offer letter salary should match or exceed the DOL benchmark.
How can I find Cloud Operations Engineer jobs that offer green card sponsorship?
Use Migrate Mate to search Cloud Operations Engineer roles filtered by employers with a documented history of PERM filings and I-140 approvals. This approach saves time because you're applying to companies that already understand the sponsorship process, rather than educating a hiring manager from scratch during the offer stage.
Can my employer start the PERM process while I'm still on an H-1B?
Yes, and starting PERM while you're on H-1B is standard practice. Filing early establishes your priority date, which determines your place in the green card queue. If your employer files the I-140 before your sixth H-1B year, you may also become eligible for H-1B extensions beyond the normal six-year cap under AC21 portability rules, provided the I-140 has been approved for at least 365 days.