Join MongoDB as a Cloud Operations Engineer to enhance uptime guarantees and automate incident resolution in a hybrid work environment.
Posted by employer 4 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 6 hours ago
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The Cloud Operations Engineer at MongoDB plays a crucial role in maintaining uptime for the Atlas platform by coordinating with a global team and implementing new processes. Key skills include expertise in Linux administration, networking technologies, and familiarity with cloud platforms like AWS, along with programming capabilities in languages such as Java or Python. This position is suited for experienced professionals with at least eight years in DevOps or SRE roles, who are eager to tackle complex system challenges. The role involves a hybrid work model and participation in a weekly on-call rotation.
Quick facts
- Is the Cloud Operations Engineer role remote?
- It's hybrid — MongoDB expects some on-site time in Bengaluru.
- How much experience is required?
- At least 8 years of relevant experience for this Cloud Operations Engineer role.
- Where is the role based?
- MongoDB is hiring for this position in Bengaluru.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Amazon Web Services, Azure, Go, Google Cloud Platform, Java, JavaScript.
- What seniority level is this role?
- MongoDB targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Cloud Operations Engineer role at MongoDB.
From the original posting
We are looking to speak to candidates who are based in Bengaluru for our hybrid working model.
Responsibilities
- Successfully co-ordinate 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 8 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
- Willingness to work in 1st Shift (7:30 am IST to 3:30 pm IST).
- Willingness to work from Wednesday - Sunday or vice versa
Nice To Have
- MongoDB
- Splunk
- Kubernetes
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
MongoDB is an equal opportunities employer.
| Requisition ID |
3273541776 |
Standard company text repeated across MongoDB's postings is omitted here.