Description:

The Information Security Risk Analyst is the operational engine of the internal risk program. While the Senior IRM Analyst and Risk Director define the strategic roadmap, the Analyst ensures the daily execution of that strategy. They are responsible for the "production line" of risk assessment: taking raw signals from the business, processing them through the established methodology, and outputting actionable risk decisions (Remediation or Acceptance).

The ultimate objective of this role is Reduction of Uncertainty. By managing the program effectively, the IRM Analyst ensures that MongoDB’s leadership has a clear, quantified view of the top risks facing the enterprise. They transform the Risk Register from a static spreadsheet into a dynamic governance tool that drives accountability.

The IRM Analyst must not be afraid to be in the trenches with the Engineering and Product teams. They are the primary face of the "Risk Intake Process," guiding stakeholders through the methodology. They are the gatekeeper of quality, ensuring that no risk enters the register until it has been properly scoped and quantified.

Responsibilities:

Risk Identification & Assessment

• Execute risk assessments under senior guidance - perform scoping, inherent risk scoring, control assessment, and residual risk calculation using established methodology
• Conduct risk identification intake, manage the flow of requests from Jira Service Desk and the Issue Intake Tracker, review incoming submissions against entry criteria, assign Risk IDs, and replicate validated risks into the Risk Register
• Act as the Triage Officer for incoming risk submissions, determine whether submissions represent strategic risks, operational issues, or duplicates. Filter noise to focus the team on signals
• Develop risk scenarios for in-scope assets by working with asset owners and risk owners , identify threat communities, threat events, and impact categories
• Draft Risk Assessment Memos that tell a cohesive story from risk statement to risk rating to actionable recommendation. Progressively build toward independently authored memos that require minimal review notes
• Monitor and flag emerging risk signals , including AI-related risks (model integrity, data poisoning, shadow AI, third-party AI dependencies) , and escalate with documented analysis for integration into the risk framework

Control Identification, Mapping & Assessment

• Identify and document controls that mitigate assessed risks , map controls to specific risk scenarios and applicable framework requirements (NIST SP 800-53, ISO 27001, SOC 2)
• Assess the design adequacy of controls , evaluate whether each control is appropriately designed to address the risk it is mapped to, and document findings with supporting rationale
• Assess the operating effectiveness of controls , collect and evaluate evidence to determine whether controls are functioning as designed over the assessment period, and document results
• Document control gaps and support remediation tracking , maintain clear records of where controls are missing, partially effective, or require compensating controls. Track remediation progress
• Maintain control-to-framework mappings to ensure risk assessment outputs directly support audit and certification evidence packages (FedRAMP, SOC 2, ISO 27001, PCI-DSS)

Risk Categorization & Governance

• Apply the established risk taxonomy and categorization methodology consistently across all assessed risks
• Process risk acceptance requests in Jira , validate completeness, ensure documented context and stakeholder sign-off, confirm time-bound conditions, and flag concerns to the Senior lead
• Maintain the Risk Register, risk inventory, and supporting trackers with obsessive attention to data integrity, no missing dates, undefined owners, or stale entries. A Risk Register with governance gaps is a program failure

Reporting & Stakeholder Engagement

• Contribute to KRI data collection and dashboard inputs , support accurate, timely reporting that feeds executive risk dashboards and governance forum materials
• Engage directly with technical stakeholders (engineering, product, infrastructure teams) during risk assessments , ask informed questions, gather evidence, and document findings
• Progressively build the technical fluency to lead stakeholder conversations independently , develop working proficiency in cloud-native architectures, SaaS security models, and common technical controls (IAM, encryption, network segmentation, logging/monitoring)
• Translate technical findings into clear, business-relevant risk language in all written work products

Policy, Process & Governance Hygiene

• Support drafting and maintaining risk procedures, guidelines, and assessment templates across the IRM program scope
• Execute governance hygiene , data quality, tracker maintenance, workflow adherence, evidence organization, and documentation standards
• Manage the risk assessment pipeline in Jira, create and maintain workflows, dashboards, and use JQL to track the assessment ticket lifecycle

Requirements:

Experience & Education:

• 3–5 years of experience in Information Security, Governance, Risk, and Compliance (GRC), or Enterprise Risk Management
• Experience performing risk assessments — including risk identification, inherent/residual risk scoring, and documentation of findings
• Experience identifying, documenting, and evaluating controls — including assessment of design adequacy and operating effectiveness
• Strong working knowledge of NIST CSF, NIST SP 800-30/39/53, and ISO/IEC 27005 — ability to use these frameworks as a library of controls and risk guidance
• Advanced proficiency in Excel/Google Sheets (pivot tables, VLOOKUP, complex formulas) for risk data analysis and reporting
• Jira proficiency — managing projects, creating workflows and dashboards, and using JQL
• Ability to write clear, concise, and defensible Risk Assessment Memos
• Obsessive attention to detail regarding data integrity and documentation quality
• Foundational understanding of cloud-native architectures and common technical controls (IAM, encryption, logging/monitoring, network segmentation) — with a commitment to building deeper technical fluency
• Awareness of AI risk concepts and willingness to develop expertise in emerging AI risk and regulatory landscape
• A strong track record of collaborating effectively across teams and levels
• Bachelor's degree in Cybersecurity, Information Systems, Business Administration, or a related field
• Certifications: At least, one of the following certifications is required - CRISC, CISM, CISSP, or CISA

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273425625

Description:

The Information Security Risk Analyst is the operational engine of the internal risk program. While the Senior IRM Analyst and Risk Director define the strategic roadmap, the Analyst ensures the daily execution of that strategy. They are responsible for the "production line" of risk assessment: taking raw signals from the business, processing them through the established methodology, and outputting actionable risk decisions (Remediation or Acceptance).

The ultimate objective of this role is Reduction of Uncertainty. By managing the program effectively, the IRM Analyst ensures that MongoDB’s leadership has a clear, quantified view of the top risks facing the enterprise. They transform the Risk Register from a static spreadsheet into a dynamic governance tool that drives accountability.

The IRM Analyst must not be afraid to be in the trenches with the Engineering and Product teams. They are the primary face of the "Risk Intake Process," guiding stakeholders through the methodology. They are the gatekeeper of quality, ensuring that no risk enters the register until it has been properly scoped and quantified.

Responsibilities:

Risk Identification & Assessment

• Execute risk assessments under senior guidance - perform scoping, inherent risk scoring, control assessment, and residual risk calculation using established methodology
• Conduct risk identification intake, manage the flow of requests from Jira Service Desk and the Issue Intake Tracker, review incoming submissions against entry criteria, assign Risk IDs, and replicate validated risks into the Risk Register
• Act as the Triage Officer for incoming risk submissions, determine whether submissions represent strategic risks, operational issues, or duplicates. Filter noise to focus the team on signals
• Develop risk scenarios for in-scope assets by working with asset owners and risk owners , identify threat communities, threat events, and impact categories
• Draft Risk Assessment Memos that tell a cohesive story from risk statement to risk rating to actionable recommendation. Progressively build toward independently authored memos that require minimal review notes
• Monitor and flag emerging risk signals , including AI-related risks (model integrity, data poisoning, shadow AI, third-party AI dependencies) , and escalate with documented analysis for integration into the risk framework

Control Identification, Mapping & Assessment

• Identify and document controls that mitigate assessed risks , map controls to specific risk scenarios and applicable framework requirements (NIST SP 800-53, ISO 27001, SOC 2)
• Assess the design adequacy of controls , evaluate whether each control is appropriately designed to address the risk it is mapped to, and document findings with supporting rationale
• Assess the operating effectiveness of controls , collect and evaluate evidence to determine whether controls are functioning as designed over the assessment period, and document results
• Document control gaps and support remediation tracking , maintain clear records of where controls are missing, partially effective, or require compensating controls. Track remediation progress
• Maintain control-to-framework mappings to ensure risk assessment outputs directly support audit and certification evidence packages (FedRAMP, SOC 2, ISO 27001, PCI-DSS)

Risk Categorization & Governance

• Apply the established risk taxonomy and categorization methodology consistently across all assessed risks
• Process risk acceptance requests in Jira , validate completeness, ensure documented context and stakeholder sign-off, confirm time-bound conditions, and flag concerns to the Senior lead
• Maintain the Risk Register, risk inventory, and supporting trackers with obsessive attention to data integrity, no missing dates, undefined owners, or stale entries. A Risk Register with governance gaps is a program failure

Reporting & Stakeholder Engagement

• Contribute to KRI data collection and dashboard inputs , support accurate, timely reporting that feeds executive risk dashboards and governance forum materials
• Engage directly with technical stakeholders (engineering, product, infrastructure teams) during risk assessments , ask informed questions, gather evidence, and document findings
• Progressively build the technical fluency to lead stakeholder conversations independently , develop working proficiency in cloud-native architectures, SaaS security models, and common technical controls (IAM, encryption, network segmentation, logging/monitoring)
• Translate technical findings into clear, business-relevant risk language in all written work products

Policy, Process & Governance Hygiene

• Support drafting and maintaining risk procedures, guidelines, and assessment templates across the IRM program scope
• Execute governance hygiene , data quality, tracker maintenance, workflow adherence, evidence organization, and documentation standards
• Manage the risk assessment pipeline in Jira, create and maintain workflows, dashboards, and use JQL to track the assessment ticket lifecycle

Requirements:

Experience & Education:

• 3–5 years of experience in Information Security, Governance, Risk, and Compliance (GRC), or Enterprise Risk Management
• Experience performing risk assessments — including risk identification, inherent/residual risk scoring, and documentation of findings
• Experience identifying, documenting, and evaluating controls — including assessment of design adequacy and operating effectiveness
• Strong working knowledge of NIST CSF, NIST SP 800-30/39/53, and ISO/IEC 27005 — ability to use these frameworks as a library of controls and risk guidance
• Advanced proficiency in Excel/Google Sheets (pivot tables, VLOOKUP, complex formulas) for risk data analysis and reporting
• Jira proficiency — managing projects, creating workflows and dashboards, and using JQL
• Ability to write clear, concise, and defensible Risk Assessment Memos
• Obsessive attention to detail regarding data integrity and documentation quality
• Foundational understanding of cloud-native architectures and common technical controls (IAM, encryption, logging/monitoring, network segmentation) — with a commitment to building deeper technical fluency
• Awareness of AI risk concepts and willingness to develop expertise in emerging AI risk and regulatory landscape
• A strong track record of collaborating effectively across teams and levels
• Bachelor's degree in Cybersecurity, Information Systems, Business Administration, or a related field
• Certifications: At least, one of the following certifications is required - CRISC, CISM, CISSP, or CISA

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273425625

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547