← All jobs · MongoDB

Staff Software Engineer, Server Networking Security (Rust)

MongoDB ·
49
AI-Agency
B45 U55
📍 Dublin, IE 🌐 Remote/hybrid Staff 10+ yrs
RustTLSnetwork protocolssystems programming
TL;DR

Staff Software Engineer at MongoDB building the Atlas Network Protection layer, a security-critical ingress networking service in Rust. Focus on hardening MongoDB's pre-authentication attack surface and responding to emergent threats at scale.

Apply at MongoDB →
you'll be redirected to the company's career page

Job description

Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Staff Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a key technical leader on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us!

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Candidate Profile

Position Expectations

Success Measures

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. 

REQ ID: 1273383343

 

Apply at MongoDB →

More open roles at MongoDB

MongoDB ·
Staff Research Scientist, Voyage AI
📍 Palo Alto, US 🌐 Remote 💰 $137K–$270K · Staff
Staff Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Conduct cutting-edge research on language models and information retrieval, collaborating with researchers from top institutions.
LLMsembedding modelsrerankersneural networksNLP
83
AI-core
MongoDB ·
Senior Research Scientist
📍 Sydney, AU 🌐 Remote · Senior
Senior Research Scientist at MongoDB conducting cutting-edge ML research in code-oriented LLMs, agentic systems, reinforcement learning, and reasoning models. Focus on publishing in top-tier venues and translating research into commercial database products.
PyTorchTensorFlowJAXReinforcement Learning
81
AI-core
MongoDB ·
Senior Research Scientist, Voyage AI
📍 Palo Alto, US 💰 $118K–$231K · Senior
Senior Research Scientist at MongoDB's Voyage AI team building embedding models and rerankers for semantic search and RAG. Focus on cutting-edge research in LLMs, information retrieval, and distributed neural network training.
LLMsembedding modelsrerankersneural networksNLP
81
AI-core
MongoDB ·
Senior Staff Engineer, AMP
📍 CA 🌐 Remote 🛠 AI tools welcome at work · Staff
Senior Staff Engineer leading MongoDB's Application Modernization Platform (AMP) team. Responsible for technical strategy, architecture, and team leadership on a GenAI-powered platform that transforms legacy applications into modern microservices architectures.
MongoDBGenAImicroservicesdistributed systems
79
AI-core
MongoDB ·
Staff Engineer, Code Generation
📍 US 🛠 AI tools welcome at work · Staff
Staff Engineer at MongoDB building AI-powered code transformation tools that modernize legacy applications into microservices architectures. Lead the Code Gen team in designing orchestration layers and integrating GenAI capabilities for automated code transformation and testing.
PythonPostgreSQLOracleMySQLSQL Server
77
AI-core