Iam & Security Engineer jobs at Mongodb in Spain

This role is a hybrid working model in our Toronto office long-term.

In this role, you will have two core priorities: Talent Development & Revenue Development. We view our Account Development Representatives as the next wave of Account Executives at MongoDB. A Sales Development leader at MongoDB hires outstanding talent, maps out the gaps in that rep’s skillset, holds them accountable to reaching their potential, and takes pride in turning that ADR into an AE. You will also be a key asset to our Enterprise Sales organization, partnering with regional leaders across our sales organization, you will be a crucial part of uncovering new opportunities, determining how to unlock new territories, and driving revenue into our pipeline.

• Attract, hire, retain, and develop talent
• Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology.
• Be involved in prospect qualification and discovery calls/meetings
• Provide weekly team performance summary as well as timely and accurate forecast to senior management
• Cross functional collaboration to establish scalable processes for incoming lead management and follow-up SLAs and conversions
• Develop and own KPI’s, supervise the activity of the team, track the results and drive team execution based on those metrics
• Work closely with Field Sales and Inside Sales management to drive increased performance and align pipeline production to our Sales team's needs
• Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success

• 2+ years experience prospecting as an individual contributor and closing
• 2+ years experience leading/managing with a track record in hiring, developing and promoting
• Complex enterprise software experience in a comparable company (technical and multi level decision making)
• Experience in open source software sales is a distinct advantage
• Excellent verbal, written, listening, and presentation skills. You must be credible with direct reports, customers, recruitment candidates, and internally across the organization at all levels including senior management
• Top performer, Results oriented, with a track record of overachievement (President’s Club, Rep of the Year, etc.)
• Experience using and implementing a sales methodology

• Familiarity with database, web server, and open source technology
• Working experience with Salesforce.com

• Great Earning Potential
• Welcoming and inclusive workplace Meet MongoDB’s Employee Affinity Groups!
• Continuous career development
• Sales training in MEDDIC and Command of the Message
• Benefits include
  • Sales Bootcamp
  • Internal mentor and buddy program cross-departmentally

You will be joining a globally distributed team with a significant presence in both Europe and North America. While this role is based in the EMEA region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our European hubs like Dublin and Barcelona, as well as remote work in several countries (including the Netherlands, Great Britain, Italy, Germany, Spain, and France).

This role will be based remotely in Spain.

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

• Play a key role in defining the 12-month roadmap for Query Execution by researching state-of-the-art systems and leveraging your deep knowledge of industry trends to provide technical vision and direction
• Take direct responsibility for delivering on long-term (6-18 month) goals to innovate in high-performance query execution and other areas of responsibility, co-ordinating initiative-level strategy and personally writing well-tested, production-ready C++ code
• Advise management on key decisions related to our architecture and processes, and collaborate with stakeholders across the company on large initiatives
• Influence and grow team members through active mentoring, coaching, and leading by example, helping to cultivate a strong talent bench through interviewing and knowledge sharing

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features. You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems.
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

• Consume detailed usage data from major cloud providers (AWS, Azure, and GCP) and generate bills for customers
• Support generic and tailored usage based pricing models
• Improve the observability and quality of data going in and out of the system
• Build and improve the backend systems to allow for a 10x load on the system
• Continuously improve the customer experience
• Integrate with different feature teams across MongoDB

In this role, you will:

• Help design and deliver projects
• Participate in product and architectural discussions
• Contribute to the codebase through projects and conducting code reviews
• Manage infrastructure via tools such as k8s, helm, and terraform etc
• Identify opportunities to continuously improve our systems, architecture, tools, and processes
• Foster an inclusive and respectful work environment according to MongoDB's core values

• Experience building and maintaining large scale systems/ ETL pipelines. Experience with billing systems is a plus
• 3+ years of experience building distributed systems
• Experience with distributed computing frameworks and service oriented architecture is a plus
• Good understanding of the JVM, and its ecosystem
• Experience using non-relational (e.g., MongoDB) or relational databases at scale
• Good written and verbal communication skills
• Equally comfortable communicating and collaborating with engineering leaders, technical experts, and non-technical stakeholders across business units

• In three months, you'll be familiar with our developer tools and the existing features and projects on the team
• In six months, you'll be contributing to our ongoing projects and helping plan our future work
• In twelve months, you’ll be hitting your stride, contributing to our roadmap and proposing incremental improvements

This role will be based remotely in Spain.

• Administer and enhance IAM platforms, including Okta, AWS, GCP, and Azure IAM, ensuring secure and least-privilege access
• Design and implement SSO (SAML, OIDC, OAuth2) and MFA policies to strengthen authentication security
• Develop role-based access control (RBAC) models and identity governance workflows to improve access management
• Automate identity lifecycle processes (provisioning, deprovisioning, JIT access) using Terraform/OpenTofu and Python
• Implement security controls for GitHub repository management, ensuring secure CI/CD pipeline access

• Secure cloud environments across AWS, GCP, and Azure, focusing on IAM policies, resource permissions, and access control
• Automate security configurations and policy enforcement using Terraform/OpenTofu, CloudFormation, and Python scripting
• Conduct security assessments on cloud services, identifying misconfigurations, excessive permissions, and potential risks
• Support network security solutions, including Cloudflare WARP, VDI access controls, and VPN alternatives

• Manage MDM platforms (JAMF, Workspace ONE, Kolide) and implement device trust policies for macOS, Windows, and Linux
• Automate compliance monitoring and enforce security baselines for corporate and BYOD devices
• Deploy and manage Zero Trust security frameworks, integrating device posture with IAM policies

• Develop security automation workflows using Tines, Python, or PowerShell to reduce manual tasks
• Support Splunk SIEM administration, assisting with log analysis, alert tuning, and incident response workflows
• Monitor and respond to IAM and cloud security incidents, conducting root cause analysis and implementing remediation plans

• 3+ years of hands-on experience in IAM, Cloud Security, or Security Engineering
• Deep expertise in IAM solutions such as Okta, AWS IAM, GCP IAM, Azure AD, and identity federation technologies
• Strong understanding of OAuth2, OIDC, SAML, and authentication best practices
• Experience with Infrastructure as Code (Terraform/OpenTofu, CloudFormation) and security automation
• Proficiency in Python, Bash, or PowerShell for scripting and automation
• Experience managing MDM solutions and implementing device security policies
• Familiarity with SIEM (Splunk), endpoint monitoring, and security alerting
• Bonus: Certifications like AWS Certified Security, Okta Certified Professional, or CISSP

Req ID - 1263066475

This role will be based remotely in Germany

• Minimum 4 years of experience in QA automation or software development with a focus on test automation
• Proficiency in writing and maintaining test automation for large codebases
• Strong background in databases, data management systems, and understanding of database query engines; direct experience is highly valued
• Solid foundation in computer science, with knowledge of data structures, algorithms, and software design/architecture
• B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus
• Passion for quality and an understanding of the latest test automation technologies and frameworks

• Design, develop, and maintain automated tests and testing frameworks for the MongoDB query engine
• Collaborate closely with development teams to understand new features and functionalities, ensuring testability and automating tests to cover both happy-path and edge-case scenarios
• Identify, isolate, and document bugs and issues within the database query system. Work with developers to ensure issues are resolved
• Enhance and extend the automation framework to improve test coverage, execution time, and tooling for diagnostics and performance testing
• Review and approve testing plans drawn up in the design phase of Query team projects. At the end of the project, certify that it has met its commitments regarding test coverage
• Provide feedback in code reviews, focusing on the robustness and reliability of code changes from a testing perspective

• Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine and its interaction with other server systems (storage/indexes, sharding, etc). You have begun identifying key areas for testing improvements
• By six months, you have established yourself as a key reviewer for automated tests, independently leading the testing efforts for complex functionalities, and demonstrating improvements in test efficiency and coverage. You have significantly contributed to increasing the automated test coverage for upcoming releases
• After twelve months, you are instrumental in shaping the testing strategy for major new features, mentoring new team members in best practices for test automation and quality assurance

This role can be based in our Barcelona office or remotely within Spain

• Propose, design, implement and support product features for MongoDB Atlas DevOps & SDK tooling, such as , &
• Build tooling that enables MongoDB users and developers to succeed, using programming languages such as Golang (primary), Java, Python & Javascript/Typescript (Experience in at least one of the above is desirable)
• Design and develop software integration components utilizing MongoDB’s technology (i.e. database, mobile, search, etc.) in larger contexts and integrate into partner frameworks or solutions
• Incrementally ship elements of sophisticated projects
• Assist with investigating and solving problems experienced by our customers. Our team has a Level 2 support rotation
• Apply our to your planning, designing, and coding work

We understand not everyone will meet all the qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

• Inspired by building DevOps & automated tooling that manages deployments at scale
• Approachable, curious, and intellectually honest
• Collaborate and communicate effectively across multiple teams, locally & remote across timezones, internally and externally as required, to drive projects to completion
• Enjoys an environment where you can coordinate your own time, prioritizing, and acting on multiple tasks concurrently without manager oversight
• Some experience building Infrastructure as Code (IaC) tooling & integrations
• Familiar with cloud infrastructure platforms, tools and concepts (Amazon AWS, Google Cloud Platform, Microsoft Azure, etc.)

• In three months, you'll have become familiar with our developer tools and the existing features most relevant to integrations
• In six months, you will be building features and leading your projects. You will share knowledge with the team, collaborating where needed to achieve our team goals
• In nine months, you will be fully embedded in the team. As well as leading your projects, you will be contributing ideas to the team roadmap, improving how we work. You will be mentoring other team members, helping them learn from your experience

• Generous compensation package (top-range salary, equity, comprehensive benefits)
• Flexible working options with a focus on results rather than time spent in the office
• A high level of independence in your day-to-day work. Propose innovative solutions to existing problems and own the delivery from start to finish
• Opportunities to learn on the job (time and support to upskill in new technologies and learn new programming languages, as well as an allowance for educational material)
• Exposure to a wide variety of market verticals and a broad spectrum of interesting use cases
• You'll be joining a supportive and collaborative team that values its culture and promotes a positive work environment!
• Upon joining, you will have the opportunity to learn everything there is to know about MongoDB via specialized training on the platform and highly supportive colleagues

• Define and execute the Analytics Engineering strategy and roadmap, modernizing data models into a modular, scalable, and efficient framework that enhances analytical capabilities
• Design, build, and maintain robust data transformation pipelines, owning the source, business, and reporting layers, leveraging dbt for transformation and Apache Airflow for orchestration
• Implement and optimize CI/CD workflows using GitHub, improving analytics developer productivity, deployment automation, and data integrity through rigorous testing and version control.
• Develop and maintain Core Data Models in Tableau, ensuring well-structured, high-quality datasets that empower self-serve analytics across GTM teams
• Coach and upskill team members on analytics engineering best practices while enabling business analysts with well-structured data models and intuitive tools for self-serve analytics
• Lead the implementation of AI solutions to enhance the analytics journey. An example is Conversational Analytics initiative to provide stakeholders with an omnichannel analytics experience, enabling insights through SQL, no-code interfaces, and conversational interactions

• 5+ years of experience in a relevant data/analytics engineering role within dynamic, outcome-driven organizations
• Hands-on experience with cloud data platforms such as Snowflake, BigQuery, or Redshift
• Advanced skills in SQL and Python, with extensive experience in data transformations, data modeling, and analytics engineering best practices
• Experience with orchestration tools like Apache Airflow, Prefect, or Dagster
• Strong understanding of DataOps principles, including data observability, automated testing, and performance monitoring
• Ability to create analytics workflows using GitHub and CI/CD, increasing developer productivity and data pipeline efficiency
• Experienced in using business intelligence tools such as Tableau or Looker to communicate insights and enable self-serve analytics
• Proven ability to translate complex business concepts and metrics into elegant and easy-to-use data models
• Demonstrated ability to build effective partnerships across diverse teams and influence decision-making with data
• Strong communication and stakeholder management skills that foster trust in data
• Comfortable with ambiguity. Able to work independently and take full ownership of projects with minimal guidance
• Driven by curiosity and creativity to overcome challenges
• Best-in-class attention to detail and an unwavering commitment to accuracy
• Familiarity with AI-based initiatives is a plus

Req ID - 1263118440