Full-Time
Posted on 1/25/2025
Developer data platform and cloud database
$99k - $194k/yr
Company Historically Provides H1B Sponsorship
New York, NY, USA
Hybrid
Candidates must be based in New York City, NY for our hybrid working model.
MongoDB provides a modern database platform for developers and businesses. Its main products are the MongoDB database and Atlas, a fully managed cloud database service, plus integrated services. The platform uses a flexible document data model and Atlas handles hosting, upgrades, backups, security, and global distribution to keep apps scalable and reliable. It monetizes through subscription and usage-based pricing across Atlas, on-prem licenses, and support, serving startups to large enterprises; its goal is to help teams build and deploy secure, scalable applications quickly with data available everywhere.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
New York City, New York
Founded
2007
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Critical remote Code Execution (RCE) vulnerability uncovered in MongoDB. May 14, 2026 The architectural integrity of modern, data-driven applications is facing a significant challenge. A high-severity vulnerability has been identified within the MongoDB ecosystem, potentially granting unauthorized actors the ability to execute arbitrary code on targeted database servers. This flaw represents more than just a software bug; it is a direct threat to the principle of least privilege and the fundamental security of the data layer. Formally cataloged as CVE-2026-8053, this critical vulnerability serves as a high-probability vector for complete system compromise. For database administrators (DBAs) and DevOps engineers, the discovery necessitates an immediate shift from routine maintenance to active incident response and remediation. Understanding the mechanics of the MongoDB security flaw. The vulnerability was unearthed during proactive internal security auditing conducted by the MongoDB team. Unlike many common injection attacks that target the application layer, this flaw resides within the core MongoDB Server deployments, making it particularly potent. In the hierarchy of cybersecurity threats, Arbitrary Code Execution (ACE) sits near the top of the danger scale. When an attacker can bypass the intended logic of a service to run their own instructions, the server essentially loses its ability to enforce security boundaries. In the context of a database - which acts as the centralized, high-value vault for an organization's most sensitive assets - the implications are catastrophic. A successful exploit of CVE-2026-8053 could allow a remote threat actor to: * Bypass Authentication: Circumvent standard credential checks to gain unauthorized access to data sets. * Data Exfiltration: Silently extract proprietary information, personally identifiable information (PII), or intellectual property. * Establish Persistence: Deploy sophisticated malware or backdoors that survive system reboots. * Lateral Movement: Use the compromised database node as a pivot point to traverse the internal corporate network and target other high-value systems. Cloud safety vs. Self-Managed risk. There is a significant distinction in the impact based on your deployment model. For organizations leveraging MongoDB Atlas, the risk is effectively mitigated. MongoDB representative Will Kruse has confirmed that the managed cloud fleet has been fully patched. Because Atlas is a fully managed service, the security team deployed patches globally across the entire infrastructure, ensuring zero manual intervention was required from the end user. However, the danger remains acute for self-hosted and on-premises environments. The vulnerability impacts all self-managed MongoDB installations running version 5.0 and later. These environments lack the automated patching lifecycle of Atlas, leaving them highly exposed until manual intervention occurs. While MongoDB reports no evidence of "in-the-wild" exploitation at this time, the window of opportunity for attackers is wide open. The company has released patched builds for both Community and Enterprise editions to close this gap. Technical remediation roadmap. To defend against potential exploitation, system administrators must move quickly to align their local deployments with the security standards applied to the Atlas cloud fleet. PlanetJon recommend the following technical workflow: * Inventory Audit: Perform a comprehensive scan of your infrastructure to identify all instances of MongoDB running versions 5.0 through the current release. * Version Verification: Cross-reference your current build against the official release notes. To ensure security, you must upgrade to versions 7.0.31, 8.0.20, or the latest 8.2.7 release. * Patch Acquisition: Download verified, cryptographically signed builds directly from the official MongoDB Community Download page. * Controlled Deployment: Schedule an immediate update during your next available maintenance window. Ensure you have verified backups and a tested rollback plan in place before initiating the upgrade. In the current threat landscape, speed is a security feature. Delaying these updates provides attackers with the time needed to scan for unpatched systems and launch opportunistic strikes against your most critical data infrastructure.
The race to deploy AI agents is exposing a critical gap in enterprise data management. As AI agents demand real-time access to live, governed data, database lifecycle management has moved from a back-office task to a strategic imperative for enterprise infrastructure. The complexity of modern environments means developers can no longer afford to manage fragmented data silos manually, according to Ashish Mohindroo (pictured, right), general manager and senior vice president of Nutanix Inc. A new partnership with MongoDB Inc. addresses that problem directly, integrating MongoDB's document database capabilities into the Nutanix Cloud Platform to give organizations a single set of APIs for automating the entire database lifecycle - from provisioning to recovery - so teams can focus on building intelligent applications instead of managing infrastructure. "What we are doing with this partnership with MongoDB is really... hardening that platform to make sure that our customers can run enterprise scale systems without any disruption," Mohindroo said. "We have [Nutanix Database Service], which is our database-as-a-service platform, and we certify that with MongoDB so that we can run MongoDB in any configuration, whether it's replica sets or sharded clusters." Mohindroo and Olivier Zieleniecki (left), global vice president of partners at MongoDB, spoke with theCUBE's John Furrier and co-host Alison Kosik at Nutanix .NEXT, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the hardening of the data layer, the Nutanix-MongoDB partnership and how unified database lifecycle management is accelerating the transition to AI-native architectures. (* Disclosure below.) Simplifying database lifecycle management across the hybrid data stack. The integration of Nutanix Database Service with MongoDB Ops Manager aims to help organizations simplify and accelerate operations across the entire deployment lifecycle, whether that be on-premises or the cloud, Zieleniecki noted. This co-designed approach ensures that joint customers can standardize their operations while maintaining the deep, MongoDB-specific intelligence their applications depend on. "The availability of this new solution, which is going to be a production-ready solution for our joint customers, really fills a gap in what we had, which was to be able... to have a managed service for that for the on-prem or for the hybrid customers," he said. "That's something that we already see a big demand [for] in the market." Underlying the partnership is a shared conviction that AI outcomes are only as good as the data infrastructure beneath them. Streamlining database lifecycle management - particularly business continuity and rapid recovery - emerged as one of the most critical benefits of running MongoDB on Nutanix Database Service, Mohindroo noted. "If you feed a system bad data, you're going to get bad outcomes," Mohindroo said. "If you can't have the systems up and running that are feeding that data, then you have a bigger problem - and that's where the two companies come together." Here's the complete video interview, part of SiliconANGLE's and theCUBE's coverage of Nutanix .NEXT 2026: (* Disclosure: TheCUBE is a paid media partner for Nutanix .NEXT 2026. Neither Nutanix, the sponsor of theCUBE's event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
Nutanix has announced a certified integration between its Nutanix Database Service platform and MongoDB Ops Manager, combining infrastructure automation with database management to simplify MongoDB operations. The integration, now generally available in NDB 2.10, enables streamlined lifecycle management and data protection for business-critical environments. The integration allows automated provisioning of MongoDB sharded clusters in minutes, reducing processes that previously required multiday coordination. Key features include point-in-time recovery down to seconds, snapshot-based recovery workflows designed for faster outcomes, and comprehensive operational visibility across deployments. The solution is available for customers with a MongoDB Enterprise Advanced licence and supports MongoDB sharded cluster deployments. Nutanix serves more than 30,000 customers worldwide.
Harmonic, an AI startup co-founded by Robinhood CEO Vlad Tenev, has raised $120 million in a Series C round led by Ribbit Capital, valuing the company at $1.45 billion. Sequoia and Kleiner Perkins participated, with Emerson Collective joining as a new backer. The pre-revenue company is developing Mathematical Superintelligence, an AI system that eliminates hallucinations by requiring outputs as verifiable code in Lean4 programming language. Its Aristotle model achieved top-level performance at the International Mathematical Olympiad alongside Google and OpenAI. Founded in 2023, Harmonic has raised $295 million across three rounds in 14 months. The funding will support computing power for model training. The company offers Aristotle via free API and targets commercialisation in safety-critical sectors like aerospace and finance.
MongoDB to focus on select partners with APAC program. 31 Mar 2026 2 mins Targeting businesses with deep local expertise. MongoDB has rolled out the Asia Pacific (APAC) Strategic Partner Program, which will be invite-only, to push the transition towards AI-driven applications. The APAC Strategic Partner Program was built to locate and invest a select group of partners that hold deep architectural expertise, local knowledge and key relationships to increase the uptake of AI. It will also run alongside its existing partner program. Prioritising deep local expertise, the program offers two examples of the level of specificity in question being sovereignty laws in Singapore and financial regulations in India. The benefits of the new program include preferential access to specialised Architect and Application Delivery certifications, co-marketing toolkits, ready-to-use assets, and best-practice playbooks. According to MongoDB the goal of the APAC program is to strive for intentional engagement, rather than simple tactical or transactional support. The vendor is also making other investments into its channel initiatives in the region, including plans to "significantly" increase the size of its APAC partner team and to quadruple its partner ecosystem in region by the end of its fiscal year. "We have successfully built a first-class partner ecosystem across the region. However, the complexity of generative AI deployment and legacy modernisation demand an evolved partner engagement model focused on deep, strategic alignment," said MongoDB APAC vice president of partners Bidhan Roy. "We are identifying partners who have outstanding local capabilities and investing heavily in their success to create an ecosystem of force multipliers across the Asia Pacific region. For our joint customers, this initiative aims to reduce delivery risk, reduce time-to-market, and provide access to trusted advisors who can pull together all the necessary elements - technology, skills, and strategy - to make AI a reality." Don't miss a thing From its editors straight to your inbox. Get started by entering your email address below. Sasha Karen is a nationally recognised highly commended senior journalist at ARN. With a decade's worth of experience, Sasha serves the local channel community with news and inspiration about channel partners.