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Senior Software Engineer, Product Security
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At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Category
- Full-stack
Technologies & skills
Primary technologies
Cloud & infrastructure
Secondary technologies
What you'll be doing
Join MongoDB's Product Security team as a Senior Software Engineer in Dublin. You'll build and scale security automation tools, enabling secure product development for hundreds of engineers. Work with Python, TypeScript, Kubernetes, and cloud platforms to deliver AI-powered security solutions in a hybrid, distributed team.
- Deliver features for an automated code analysis platform
- Expand security findings triaging and verification platform to all products
- Automate finding management process for engineering teams
- Develop centralized security signal analytics platform
- Design and build tooling to shift security practices left in SDLC
Key requirements
Must-have
- 5+ years of production-level software development with Python and TypeScript in a cloud environment
- Experience managing end-to-end development lifecycle, including building, deploying, and operating software at scale
- Experience in micro-services, Kubernetes, and containers
- Deep understanding of CI/CD systems, including linting, testing, and deployment strategies
- Ability to independently prioritize and execute tasks after alignment
- Proven track record of identifying problems, implementing solutions, and delivering complex projects
- Strong understanding of building AI agents
- Strong verbal and written technical communication skills
Nice-to-have
- Basic knowledge of security practices such as threat modeling, secure code review, and CVE
- Familiarity with C++ or Rust
- Experience designing and operating systems that execute untrusted code safely
- Experience with NoSQL or database development
Experience: 5+ years of production-level software development
Role signals
- Technical focus
- security automation, full-stack development, cloud infrastructure
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
The MongoDB Product Security team is looking for a full-stack senior software engineer to help us build and scale the next generation of security practices, enabling hundreds of MongoDB engineers to build secure products for our customers.
The Product Security team empowers product teams to build secure products for MongoDB customers by providing security enablement, such as AI-powered code analysis, threat modeling and security finding triaging and verification, fuzzing infrastructure, and finding management solutions. Our goal is to incorporate security early in product development at scale without introducing friction. With the emerging capabilities of AI models, we are proactively adopting our security practices to be prepared for the newly introduced challenges.
We are looking to speak to candidates who are based in Dublin for our hybrid working model. This role is expected to work with a distributed team that covers all time zones in the US.
Key Responsibilities:
As a software engineer on our team, you will help us develop and maintain security automations, such as:
-
Deliver features for an automated code analysis platform
-
Expand security findings triaging and verification platform to all products across MongoDB
-
Automate finding management process to be self-serve for engineering teams
-
Centralized security signal analytics platform to help teams focus on the most important security work
-
Design and build tooling solutions to shift security practices left in SDLC
Baseline Qualifications:
-
5+ years of experience of production-level software development with Python and TypeScript in a cloud environment
-
Experience managing the end-to-end development lifecycle, including building, deploying and operating software at scale
-
Experience in micro-services, Kubernetes, and containers
-
Deep understanding of CI/CD systems, including linting, testing and various deployment strategies
-
The ability to independently prioritize and execute tasks after alignment with the team and stakeholders
-
A proven track record of identifying problems, implementing solutions and delivering complex projects
-
Strong Understanding of building AI agents
-
Strong verbal and written technical communication skills
Preferred Qualifications:
-
Basic knowledge of what security practices are and how they work, such as threat modeling, secure code review, and CVE
-
Familiarity with C++ or Rust
-
Experience designing and operating systems that execute untrusted code safely — container/sandbox isolation, least-privilege credential handling, and network egress controls.
-
Experience with NoSQL or database development
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 is an equal opportunities employer.
Req ID: 3273566003
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the Senior Software Engineer, Product Security role at MongoDB focuses on building and scaling security automation tools and platforms, enabling secure product development across the organization. The position emphasizes hands-on full-stack development, cloud infrastructure, and integrating security practices early in the SDLC.
- Security automation expertise·High
- Cloud-native development·High
- CI/CD and DevOps·High
- AI integration in security·Medium
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review and Summarize Relevant Projects
0–8 minList and outline your most relevant projects involving security automation, cloud deployment, and full-stack development.
Brush Up on CI/CD and Kubernetes Concepts
8–15 minRevisit your experience with CI/CD pipelines, Kubernetes, and container security, focusing on practical examples.
Prepare STAR Stories for Security Challenges
15–21 minDraft concise STAR-format stories about identifying and solving security issues in the SDLC.
Research AI in Security Automation
21–26 minRead recent articles or case studies on AI-powered security tools to discuss trends and potential applications.
Draft Role-Specific Questions
26–30 minPrepare thoughtful questions about the team's priorities, challenges, and success metrics.
Talking points
, 6 itemsDeveloping Security Automation Tools
You will need to discuss your experience building platforms or tools that automate security processes, such as code analysis or threat modeling, to demonstrate direct relevance to the role.
Full-stack Development in Cloud Environments
The role requires strong Python and TypeScript skills in cloud settings; be ready to share examples of end-to-end feature delivery and cloud-native application development.
CI/CD and Deployment Strategies
You should be able to explain how you've implemented or improved CI/CD pipelines, including linting, testing, and deployment, as these are core to the responsibilities.
Microservices, Kubernetes, and Containerization
Demonstrating experience with microservices architecture, Kubernetes, and container management will show your ability to operate at scale and manage distributed systems.
Building and Integrating AI Agents
The team is adopting AI-powered solutions; prepare to discuss your understanding or experience with AI agents, especially in the context of security or automation.
Security Practices in the SDLC
Be ready to talk about how you've shifted security left in the development lifecycle, including threat modeling, secure code review, or automating security findings management.
What to research
, 4 itemsReview Python and TypeScript Projects in Cloud Environments
Refresh your portfolio of projects involving Python and TypeScript, especially those deployed on AWS, Azure, or GCP.
Deepen Understanding of CI/CD and Kubernetes
Study your experience with CI/CD pipelines, Kubernetes, and container orchestration, focusing on security integrations.
Familiarize with Security Automation Practices
Review concepts like automated code analysis, threat modeling, and security findings management.
Explore AI Agent Integration in Security
Prepare to discuss how AI agents can be used in security automation, even if your experience is limited.
Questions to ask
, 6 itemsWhat are the current priorities for the Product Security team in terms of automation and tooling?
Why ask this? To understand where your skills can have the most immediate impact.
How does the team collaborate with product engineering to shift security left in the SDLC?
Why ask this? To gauge the level of cross-team interaction and influence.
What are the main challenges faced when scaling security practices across all MongoDB products?
Why ask this? To identify potential obstacles and areas where you can contribute solutions.
How is AI currently being leveraged in your security automation platforms?
Why ask this? To clarify the maturity and direction of AI adoption in the team's workflow.
What does success look like for this role in the first 6-12 months?
Why ask this? To set clear expectations for performance and impact.
How does the team ensure continuous learning and staying updated with evolving security threats?
Why ask this? To assess the team's commitment to professional development and security excellence.
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