Cloud Operations Engineer
3 weeks ago
Overview Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager and Compass. 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. Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are 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 escalate issues that are sometimes broad in scope and difficult to trace. This role can be based out of our West Coast offices or remotely in the United States. This role specifically follows a weekend support model (Wednesday‑Sunday, Saturday‑Wednesday, or Friday‑Tuesday, with the next two days as the week‑off) and requires adherence to West Coast Hours (9am to 5pm PST). If you're passionate about being a Cloud Operations Engineer, working with our largest enterprise customers, and are open to flexible, weekend‑oriented scheduling, we encourage you to apply. Responsibilities Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base Participate in designing and building internal tools 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 internal processes, 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) Qualifications Experience with being an on‑call DevOps, SRE, or Cloud Operations engineer Expertise with Linux system administration and networking technologies Knowledge of database operations and concepts Knowledgeable about a wide range of web and internet technologies Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure) Experience in monitoring, system performance data collection and analysis, and reporting Capability to write programs/scripts to solve both short‑term systems problems and long‑term strategic objectives for the Atlas product A CS/CE degree or equivalent experience At least two of the following programming languages: Java, Go, Python, Javascript A keen interest in learning new things 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 nearly 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 Accommodation and Equal Employment Opportunity 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. Base Salary Range (U.S.) $90,000—$176,000 USD #J-18808-Ljbffr
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