Lead Iam & Security Engineering jobs at Mongodb

• Build and design new features for MongoDB Atlas
• Contribute to and lead complex technical projects
• Work closely with product and design teams, considering the user’s perspective while building technical solutions
• Work with customers and support engineers to fix issues
• Collaborate with team members to develop our codebase, best practices, and design principles
• Learn from and mentor other team members

• Has at least 5 years of professional software development experience
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Is comfortable working across the stack of a modern web application (e.g. React, TypeScript)
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has led the launch of a new module and maintained it in production
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

• In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
• In 6 months, you'll have contributed to a large project
• In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system

As a Lead Engineer, Inference Platform, you’ll be hands-on with design and implementation, while working with engineers across experience levels to build a robust, scalable system. The focus is on latency, availability, observability, and scalability in a multi-tenant, cloud-native environment. You will also be responsible for guiding the technical direction of the team, mentoring junior engineers, and ensuring the delivery of high-quality, impactful features.

• Partner with Search Platform and Voyage.ai AI engineers and researchers to productionize state-of-the-art embedding models and rerankers, supporting both batch and real-time inference
• Lead key projects around performance optimization, GPU utilization, autoscaling, and observability for the inference platform
• Design and build components of a multi-tenant inference service that integrates with Atlas Vector Search, driving capabilities for semantic search and hybrid retrieval
• Contribute to platform features like model versioning, safe deployment pipelines, latency-aware routing, and model health monitoring
• Collaborate with peers across ML, infra, and product teams to define architectural patterns and operational practices that support high availability and low latency at scale
• Guide decisions on model serving architecture using tools like vLLM, ONNX Runtime, and container orchestration in Kubernetes
• Provide technical leadership and mentorship to junior engineers, fostering a culture of technical excellence and continuous improvement within the team

• 8+ years of engineering experience in backend systems, ML infrastructure, or scalable platform development, and the ability to provide technical leadership and guidance to a team of engineers
• Expertise in serving embedding models in production environments
• Strong systems skills in languages like Go, Rust, C++, or Python, and experience profiling and optimizing performance
• Comfortable working on cloud-native distributed systems, with a focus on latency, availability, and observability
• Familiarity with inference runtimes and vector search systems (e.g., Faiss, HNSW, ScaNN)
• Proven ability to collaborate across disciplines and experience levels, from ML researchers to junior engineers
• Experience with high-scale SaaS infrastructure, particularly in multi-tenant environments
• 1+ years of experience serving as TL for a large-scale ML inference or training platform SW project

• Prior experience working with model teams on inference-optimized architectures
• Background in hybrid retrieval, prompt-based pipelines, or retrieval-augmented generation (RAG)
• Contributions to relevant open-source ML serving infrastructure
• 1+ years of experience in managing a technical team focused on ML inference or training infrastructure

• Be part of shaping the future of AI-native developer experiences on the world’s most popular developer data platform
• Collaborate with ML experts from Voyage.ai to bring cutting-edge research into production at scale
• Solve hard problems in real-time inference, model serving, and semantic retrieval — in a system used by thousands of customers worldwide
• Work in a culture that values mentorship, autonomy, and strong technical craft
• Competitive compensation, equity, and career growth in a hands-on technical leadership role

This role can be based out of our New York City or Seattle offices or remotely in the United States.

The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following:

• Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling
• Use software architecture and coding patterns to reduce the impact of security issues
• Be security subject matter experts for our tech stack and products

• You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security
• Advocate for and lead complex security projects from inception through completion
• Drive architecture, patterns, and processes across cloud engineering that make security the easiest path
• Partner closely with engineering teams to design and implement security controls across our software and systems
• Research and POC new attacks against our systems. Plan and perform product security assessments including architecture review threat modeling, code review, pen testing and general security consulting to proactively build security controls
• Serve as a security subject matter expert for software security and architecture
• Partner with cloud detection and response to create new capabilities or respond to security events
• Educate the engineering org on security through CTFs, lunch-and-learns, and one-on-one mentorship

• 7 years of experience in application security, software security, or product security
• Demonstrated expertise in C++ programming to thoroughly assess existing codebases for security vulnerabilities and develop or support remediations and enhancements including mitigating memory-related security flaws such as buffer overflows and memory leaks
• Deep subject matter expertise in database security, application security, software security, or data security
• Deep knowledge database engines,database internals and applied cryptography
• Demonstrated ability to identify and fix security issues through manual code review, application penetration testing, or red teaming
• Scripting experience and ability to contribute code back to our environments
• Comfortable leading threat modeling and being a security ambassador to other engineering teams
• Communicate complex technical issues in a simple manner that builds trust with a variety of audiences
• A strong sense of ownership and delivery
• Can facilitate a conversation rather than dominate it
• Skilled at providing collaborative, actionable feedback, not just a list of flaws

• Working knowledge of one or more major cloud providers (AWS, GCP, or Azure)
• Experience with large scale environments

• Taking ownership of one or more security programs such as appsec, cloud, or detect/response
• Seeing projects through from conception to completion in order to deliver new services or capabilities for the team
• Establishing yourself as a go-to person for discussing security topics

• You have 2 or more years of experience managing a team of software engineers
• You have strong technical judgment that you use to effectively guide engineering decisions without necessarily writing code yourself
• You have first-hand experience developing complex systems like databases, distributed systems, or high-performance applications and you use this context to understand the challenges your team faces
• You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential
• You care about building a diverse, inclusive environment where engineers can do their best work
• You put the customer first and don't hesitate to cross team boundaries in search of the right solution

• Lead and grow a team, managing all aspects of people management including hiring, growth, compensation, and performance management
• Be directly responsible for the results your team delivers
• Play a key role in defining the roadmap for the next 12 months
• Drive improvements to processes and tools especially those that allow us to confidently make changes to high risk parts of our codebase
• Handle (or lead the effort to handle) time-sensitive customer escalations
• Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
• Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users
• Ensure high quality and velocity in the design and implementation of new functionality in Search and Vector Search
• Be open to occasional (twice a year) travel to the US

• In the first month:
• You have understood the high level architecture of the Search and Vector Search and the team's responsibilities
• You are starting to develop relationships with key stakeholders
• You have gained familiarity with the required day-to-day processes to manage the team
• In three months:
• You have taken over management of your team, and are starting to build trust with your reports
• You have assumed responsibility for the day-to-day processes necessary to keep the lights on
• You are involved in reviewing the design for new features and helping the team navigate technical challenges
• In six months:
• You have established your role as a leader in the organization such that team members naturally go to you for guidance
• You are beginning to involve yourself in planning and roadmapping efforts
• You are leading the planning and execution of a new major feature
• In twelve months:
• You have performed a full annual cycle of performance and growth conversations with your team members
• You have contributed to the vision for the future of the Search team and helped develop a plan to achieve that vision
• You have increased the capability and velocity of your team in measurable ways

We’re seeking a Lead Engineer for the Atlas Stream Processing team to provide technical direction, direct architecture decisions, and implement core parts of the new stream processing architecture that GA’d in the summer of 2024. enables processing streams of complex data using the same data model and Query API used in Atlas databases.

• Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
• Make coding contributions to the team’s projects
• Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
• Take responsibility for the planning and execution of major features, raise delivery risks
• Own the monitoring, operations, and maintenance of the systems your team develops
• Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
• Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

• 5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
• 2+ years of experience managing a team of 3+ engineers and providing technical leadership
• Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
• Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
• Have led the launch of new features and maintained them in production
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

• In the first month, you’ll have understood the surface area, the high level architecture of the Atlas Stream Processing. You’ll have initiated one-on-one’s with your team members.
• In three months, you’ll have on-boarded onto the team and contributed to the design and development of a feature
• In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
• In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you’ll have contributed to the vision for the future of the Atlas Streams team and helped develop a plan to achieve that vision

We’re seeking a Lead Engineer for the Atlas Stream Processing team to provide technical direction, direct architecture decisions, and implement core parts of the new stream processing architecture that GA’d in the summer of 2024. enables processing streams of complex data using the same data model and Query API used in Atlas databases.

• Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
• Make coding contributions to the team’s projects
• Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
• Take responsibility for the planning and execution of major features, raise delivery risks
• Own the monitoring, operations, and maintenance of the systems your team develops
• Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
• Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

• 5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
• 2+ years of experience managing a team of 3+ engineers and providing technical leadership
• Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
• Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
• Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
• Have led the launch of new features and maintained them in production
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and observability tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

• In the first month, you’ll have understood the surface area, the high level architecture of the Atlas Stream Processing. You’ll have initiated one-on-one’s with your team members.
• In three months, you’ll have on-boarded onto the team and contributed to the design and development of a feature
• In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
• In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members. Additionally, you’ll have contributed to the vision for the future of the Atlas Streams team and helped develop a plan to achieve that vision

The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following:

• Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling.
• Use software architecture and coding patterns to reduce the impact of security issues.

Be security subject matter experts for our tech stack and products.

• You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security
• Advocate for and lead complex security projects from inception through completion
• Drive architecture, patterns, and processes across Server Engineering that make security the easiest path
• Partner closely with engineering teams to design and implement security controls across our software and systems
• Research and POC new attacks against our systems. Plan and perform product security assessments including architecture review threat modeling, code review, pen testing and general security consulting to proactively build security controls
• Serve as a security subject matter expert for software security and architecture
• Educate the engineering org on security through CTFs, lunch-and-learns, and one-on-one mentorship

• 3 years of experience in application security, software security, or product security
• Demonstrated experience in C++ programming, performing security assessments on low-level codebases, and implementing remediation strategies for memory-related security flaws such as buffer overflows and memory leaks
• Scripting experience and ability to contribute code back to our environments
• Comfortable leading threat modeling and being a security ambassador to other engineering teams
• Communicate complex technical issues in a simple manner that builds trust with a variety of audiences
• A strong sense of ownership and delivery
• Can facilitate a conversation rather than dominate it
• Skilled at providing collaborative, actionable feedback, not just a list of flaws

• Subject matter expertise in database security, or data security
• Knowledge of database engines, database internals, or applied cryptography
• Experience contributing or partnering with security researchers to identify vulnerabilities that eventually are published CVEs or administrative responsibilities of a CNA

• Seeing projects through from conception to completion in order to deliver new services or capabilities for the team
• Establishing yourself as a go-to person for discussing security topics