MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
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 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 include 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.
The regular work week for this position will be Tuesday to Saturday. We are looking to speak to candidates who are based in Sydney for our hybrid working model.
Day to day you will…
1. Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base.
2. Participate in designing and building internal tools.
3. Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools.
4. Assist in scoping, designing, and deploying systems that reduce Mean Time to Resolve for customer incidents.
5. Monitor and detect emerging customer-facing incidents on the Atlas platform; assist in their proactive resolution.
6. Automate internal processes, routine monitoring, and troubleshooting tasks.
7. Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution.
8. Cooperate with our product management and cloud engineering organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure.
9. Inform executive leadership and escalation management personnel of major outages.
10. 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).
What you’ll bring…
1. Experience as an on-call DevOps, SRE, or Cloud Operations engineer.
2. Expertise in Linux system administration and networking technologies.
3. Knowledge of database operations and concepts.
4. Familiarity with a wide range of web and internet technologies.
5. Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g., GCP, Azure).
6. Experience in monitoring, system performance data collection and analysis, and reporting.
7. Capability to write programs/scripts to solve both short-term systems problems and long-term strategic objectives for the Atlas product.
8. A CS/CE degree or equivalent experience.
9. At least 2 of the following programming languages: Java, Go, Python, JavaScript.
10. A keen interest in learning new things.
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