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.
To meet this demand, we are looking for passionate technologists to join our Solutions Assurance Team based in Barcelona, as a part of our growing (IST), a remote/flexible, globally-dispersed team.
Our objective is to align MongoDB as an optimized platform for AI solutions, and ensure we understand enterprise clients and their needs to drive modernization through artificial intelligence.
Responsibilities Understand customer security requirements, documenting and communicating best practices while working with our business partners on validating the integration of their software components with the MongoDB ecosystem.
Become an expert in all things security related for MongoDB Atlas and MongoDB Enterprise Advanced.
Design and implement robust Atlas architectures in compliance with relevant standards such as GDPR, CCPA, HIPAA, and NIST 800-53.
Internally and externally document the results of testing and collaborate with the team to develop best practices for security architectures and integrations.
Assist in the risk assessments of our enterprise customers for Atlas.
Partner with the Industry Solutions team to ensure success in accounts ranging from small startups to large enterprises.
Proactively seek opportunities to support and mentor other team members and share best practices.
Minimum Requirements At least 5 years of relevant work experience in the tech sector, or relevant technical experience in other sectors.
Ability and willingness to learn quickly and adapt to new industries.
Scripting skills and programming skills with a solid understanding of operation layer architectures.
Experience in product security, AI security, machine learning security, or IT security.
Strong understanding of data technologies and their potential vulnerabilities.
Familiarity with security standards and regulations relevant to AI and data privacy (GDPR, CCPA, HIPAA, FISMA, NIST, ISO/IEC 27001, ISO/IEC 27701, EU AI Act, CMMC, PDPA, PIPL).
A balance of technical knowledge as well as communication/presentation skills.
A foundational knowledge of data, data science, data analytics, and/or data engineering.
A diverse experience or interest to context switch between different environments and requirements.
The ability to manage and work with multiple stakeholders effectively.
A pro-active, self-starter with the drive to learn new skills and become an expert in that field.
A strong sense of teamwork working towards a common goal with process-oriented skills.
Willingness to mentor more junior teammates.
Preferred Qualifications A Master's degree or equivalent work experience in the tech sector.
Experience with cryptographic techniques and secure communications protocols.
Experience with databases and/or deploying applications with any of the major cloud providers or database vendors.
Experience with database programming and data models.
A MongoDB Certification.
Proficiency in more than one language.
What You Will Learn Working in a fast-paced tech company and being integrated into a "can-do" team where responsibility for your own work and intellectual honesty are crucial.
The rapidly expanding MongoDB product suite, including Atlas, Queryable Encryption, and Field-level Encryption.
Exposure to a wide variety of market verticals and a broad spectrum of interesting use cases.
Understanding of product and program management in a fast-moving tech company.
Process thinking, planning, and project management skills.
Sales engagement models, sales qualification in a global company.
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