Job description

Who You Are You are a seasoned security professional with a deep passion for uncovering vulnerabilities and improving product security through technical assessments and hands-on penetration testing. You pride yourself on being able to execute sophisticated security tests, identify issues, and implement pragmatic solutions, all while keeping the customer experience central. You enjoy working collaboratively across teams and have the ability to communicate complex technical concepts in a clear, approachable manner. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for assessing the security of our products including MongoDB Atlas Cloud , Ops Manager , Kubernetes Operator , and the MongoDB Server ( Community and Enterprise editions). Our team provides assurance that new MongoDB products and features are built to meet our customers’ high security needs through rigorous threat modeling, code analysis, and penetration testing. The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects our customers and their data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The Product Security team: Conducts rigorous penetration testing and security assessments of MongoDB products Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling Uses software architecture and coding patterns to reduce the impact of security issues Role Responsibilities As a Product Security Engineer specializing in security assessments, your responsibilities will include: Leading the evolution of our internal security and assessment processes by leveraging AI-based analysis to enhance threat modeling, penetration testing workflows, and assessment efficiency Conducting deep-dive penetration tests and hands-on security assessments of MongoDB products, including architecture reviews, threat modeling, static/dynamic code analysis, and vulnerability exploit verification Researching, prototyping, and executing new attack vectors and techniques to strengthen our defensive measures Collaborating closely with engineering teams to advocate security best practices and to remediate identified vulnerabilities Recommending secure coding patterns, container security measures, and secrets management strategies to strengthen our products Partnering with product development teams to ensure secure delivery across cloud environments, applications, and systems Coordinating closely with the red team and detection functions and processes to address potential security incidents or implement new defensive or monitoring capabilities Requirements 7+ years of experience in application security, product security or penetration testing roles, including manual and automated approaches Proven expertise in product security assessment techniques such as threat modeling, penetration testing, red teaming, and secure code reviews Some programming and scripting skills, with familiarity in one or more languages such as Python or Golang Hands-on experience with one or more major cloud providers (AWS, GCP, Azure) Experience leading threat modeling workshops and discussing security issues with engineers Comfortable explaining and communicating technical concepts and findings to both technical and non-technical audiences Demonstrated ownership of security initiatives, with the ability to deliver results autonomously or collaboratively Working knowledge of large-scale distributed systems and container technologies (e.g., Kubernetes, Docker) Knowledge of security tools and frameworks for cloud and application security Success in This Role Looks Like Driving improvements in MongoDB’s product security through end-to-end ownership of security assessments Guiding and mentoring the team through the technological evolution of our security assessment processes using modern AI capabilities Proactively uncovering vulnerabilities and presenting actionable recommendations to engineering teams Building trust and establishing yourself as a key security partner within the organization Growing MongoDB’s security capabilities and contributing to innovative solutions that enhance customer trust and product robustness 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. 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. 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: 3273577529 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000 — $248,000 USD

Requirements

Must-haves

Conducts rigorous penetration testing and security assessments of MongoDB products
Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows
Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities
Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling
Uses software architecture and coding patterns to reduce the impact of security issues
Role Responsibilities
As a Product Security Engineer specializing in security assessments, your responsibilities will include:
Leading the evolution of our internal security and assessment processes by leveraging AI-based analysis to enhance threat modeling, penetration testing workflows, and assessment efficiency
Conducting deep-dive penetration tests and hands-on security assessments of MongoDB products, including architecture reviews, threat modeling, static/dynamic code analysis, and vulnerability exploit verification
Researching, prototyping, and executing new attack vectors and techniques to strengthen our defensive measures
Collaborating closely with engineering teams to advocate security best practices and to remediate identified vulnerabilities
Recommending secure coding patterns, container security measures, and secrets management strategies to strengthen our products
Partnering with product development teams to ensure secure delivery across cloud environments, applications, and systems
Coordinating closely with the red team and detection functions and processes to address potential security incidents or implement new defensive or monitoring capabilities
7+ years of experience in application security, product security or penetration testing roles, including manual and automated approaches
Proven expertise in product security assessment techniques such as threat modeling, penetration testing, red teaming, and secure code reviews
Some programming and scripting skills, with familiarity in one or more languages such as Python or Golang
Hands-on experience with one or more major cloud providers (AWS, GCP, Azure)
Experience leading threat modeling workshops and discussing security issues with engineers
Comfortable explaining and communicating technical concepts and findings to both technical and non-technical audiences
Demonstrated ownership of security initiatives, with the ability to deliver results autonomously or collaboratively
Working knowledge of large-scale distributed systems and container technologies (e.g., Kubernetes, Docker)
Knowledge of security tools and frameworks for cloud and application security
Success in This Role Looks Like

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesaipythongolangawsgcpazuredocker

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

401(K)

Paid Time Off

Parental Leave