Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact-building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value-this is your role. New York or San Francisco Preferred (Hybrid); Remote Optional (North America) Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI native applications to build conviction around platform investments 12-18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in performance and multi tenancy Drive Engineering Strategy & Impact: Partner deeply with engineering leadership to translate complex technical tradeoffs into business value, balancing rapid innovation velocity with the rigorous production stability required for long term platform health Orchestrate World Class Observability: Collaborate with SRE and Solutions Architects to build advanced instrumentation strategies and feedback loops, turning production signals and incident learnings into proactive improvements that secure system resilience Requirements Deep Technical Authority: 5+ years of PM experience with a specific focus on infrastructure or distributed systems. You possess a mastery of concepts like CAP theorem, consistency models, and sharding strategies, backed by real world empathy for the engineering experience-whether that's being on call or debugging production incidents Strategic Vision at the Technical Edge: You operate comfortably at the intersection of complex architecture and business strategy, capable of debating consensus algorithms with engineers while Data Driven Storytelling: A proven track record of driving operational excellence combined with exceptional narrative skills. You effortlessly pivot from analyzing low level system metrics to crafting executive narratives that connect infrastructure health to critical business outcomes Unrivaled Influence: You earn the trust of senior engineers through technical depth and respect for complexity, not just title. You excel at guiding architectural decisions without needing formal authority helping to translate those decisions into market differentiation and forward looking product investments Visionary Customer Obsession: You understand that for platform products, your customers are often building abstractions on top of your abstractions, and you design deeply technical products with their long term success criteria in mind Nice to Have Direct experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases, particularly in production environments at scale Experience with AI/ML infrastructure or building platform capabilities that enable AI applications (vector search, embeddings management, hybrid retrieval systems) Success Measures Month 3: Technical Immersion: Complete a full architectural audit of the search stack. Be able to debate replication flows and consistency guarantees with Staff Engineers State of Reliability: Deliver a report identifying the top 3 sources of operational toil and observability blind spots The Quick Win: Identify and ship one low hanging reliability improvement (e.g., a missing metric or doc gap) to demonstrate immediate value to the engineering team Month 6: Operationalize SLOs: Partner with SRE to publish official SLOs/SLIs, shifting the culture from "is it down?" to managing error budgets The "Conviction Paper": Synthesize customer discovery into a strategic whitepaper defining the architectural investments needed for the next 18 months Observability Upgrade: Lead the rollout of high signal alerting strategies that move the team from reactive triage to proactive prevention Month 12: Quantifiable Health Gains: Demonstrate measurable improvement in system metrics (e.g., reduced p99 latency, improved MTTR, or 0 capacity related incidents) Tier 1 Launch: successfully guide a major infrastructure capability (e.g., new vector index or sharding mechanic) from concept to General Availability Authority: Establish yourself as the internal authority on search scaling, influencing roadmap allocation toward long term platform health 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. 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.
02/12/2026
Full time
Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact-building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value-this is your role. New York or San Francisco Preferred (Hybrid); Remote Optional (North America) Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI native applications to build conviction around platform investments 12-18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in performance and multi tenancy Drive Engineering Strategy & Impact: Partner deeply with engineering leadership to translate complex technical tradeoffs into business value, balancing rapid innovation velocity with the rigorous production stability required for long term platform health Orchestrate World Class Observability: Collaborate with SRE and Solutions Architects to build advanced instrumentation strategies and feedback loops, turning production signals and incident learnings into proactive improvements that secure system resilience Requirements Deep Technical Authority: 5+ years of PM experience with a specific focus on infrastructure or distributed systems. You possess a mastery of concepts like CAP theorem, consistency models, and sharding strategies, backed by real world empathy for the engineering experience-whether that's being on call or debugging production incidents Strategic Vision at the Technical Edge: You operate comfortably at the intersection of complex architecture and business strategy, capable of debating consensus algorithms with engineers while Data Driven Storytelling: A proven track record of driving operational excellence combined with exceptional narrative skills. You effortlessly pivot from analyzing low level system metrics to crafting executive narratives that connect infrastructure health to critical business outcomes Unrivaled Influence: You earn the trust of senior engineers through technical depth and respect for complexity, not just title. You excel at guiding architectural decisions without needing formal authority helping to translate those decisions into market differentiation and forward looking product investments Visionary Customer Obsession: You understand that for platform products, your customers are often building abstractions on top of your abstractions, and you design deeply technical products with their long term success criteria in mind Nice to Have Direct experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases, particularly in production environments at scale Experience with AI/ML infrastructure or building platform capabilities that enable AI applications (vector search, embeddings management, hybrid retrieval systems) Success Measures Month 3: Technical Immersion: Complete a full architectural audit of the search stack. Be able to debate replication flows and consistency guarantees with Staff Engineers State of Reliability: Deliver a report identifying the top 3 sources of operational toil and observability blind spots The Quick Win: Identify and ship one low hanging reliability improvement (e.g., a missing metric or doc gap) to demonstrate immediate value to the engineering team Month 6: Operationalize SLOs: Partner with SRE to publish official SLOs/SLIs, shifting the culture from "is it down?" to managing error budgets The "Conviction Paper": Synthesize customer discovery into a strategic whitepaper defining the architectural investments needed for the next 18 months Observability Upgrade: Lead the rollout of high signal alerting strategies that move the team from reactive triage to proactive prevention Month 12: Quantifiable Health Gains: Demonstrate measurable improvement in system metrics (e.g., reduced p99 latency, improved MTTR, or 0 capacity related incidents) Tier 1 Launch: successfully guide a major infrastructure capability (e.g., new vector index or sharding mechanic) from concept to General Availability Authority: Establish yourself as the internal authority on search scaling, influencing roadmap allocation toward long term platform health 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. 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.
We're looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas. You'll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we're building infrastructure for real-time, low-latency, and high-scale inference - fully integrated with Atlas and designed for developer-first experiences. As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use. We're looking to speak with candidates in Palo Alto for our hybrid working model. What You'll Do Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers - enabling both batch and real-time use cases Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes Who You Are 5+ years of experience building backend or infrastructure systems at scale Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability Experienced in cloud-native architectures, distributed systems, and multi-tenant service design Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers Nice to Have Experience integrating infrastructure with production ML workloads Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG) Contributions to open-source infrastructure for ML serving or search Why Join Us Be part of building the AI foundation of the world's most popular developer data platform Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems Tackle challenging problems in inference, observability, and distributed infrastructure Work in a culture that emphasizes mentorship, ownership, and technical excellence 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. 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. MongoDB's base salary range for this role in the U.S. is:
02/12/2026
Full time
We're looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas. You'll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we're building infrastructure for real-time, low-latency, and high-scale inference - fully integrated with Atlas and designed for developer-first experiences. As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use. We're looking to speak with candidates in Palo Alto for our hybrid working model. What You'll Do Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers - enabling both batch and real-time use cases Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes Who You Are 5+ years of experience building backend or infrastructure systems at scale Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability Experienced in cloud-native architectures, distributed systems, and multi-tenant service design Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers Nice to Have Experience integrating infrastructure with production ML workloads Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG) Contributions to open-source infrastructure for ML serving or search Why Join Us Be part of building the AI foundation of the world's most popular developer data platform Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems Tackle challenging problems in inference, observability, and distributed infrastructure Work in a culture that emphasizes mentorship, ownership, and technical excellence 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. 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. MongoDB's base salary range for this role in the U.S. is:
The Networking & Observability Team builds infrastructure for low-overhead observability and communication between MongoDB Server nodes, clients, and other services. We operate close to the bottom of the stack, and have a huge impact on the performance and robustness of the database. Recently, we've worked on POCs for making our RPC stack's architecture as performant as possible and are integrating OpenTelemetry to accelerate the diagnosis of performance issues and test failures. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems and networking expertise to build the foundational infrastructure of a popular database, join us! Let's build a faster, more reliable, and exceptionally observable database system together This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level network programming Familiarity with database internals or building core components for data processing systems Familiarity with observability ecosystem and best practice Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Responsibilities Lead the architecture and implementation of low-level networking components that drive the performance, scalability, cost-efficiency, and resiliency of MongoDB Server Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues Handle networking-related customer escalations from Technical Support team and coach teammates to do the same Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code Own all code the Networking & Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code Investigate the performance impact of code changes that may cause software performance regressions Interview candidates for advanced software engineering positions Develop and maintain expertise on cutting edge database, networking, and observability developments from industry and academia Lead development and project management of some of the largest projects across the company Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Advise Product Management on technical product direction, engineering complexity and inter-project dependencies Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month, you will have understood the high level architecture of MongoDB networking and observability, and fixed a few bugs In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Networking & Observability Team 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. MongoDB's base salary range for this role in the U.S. is:
02/12/2026
Full time
The Networking & Observability Team builds infrastructure for low-overhead observability and communication between MongoDB Server nodes, clients, and other services. We operate close to the bottom of the stack, and have a huge impact on the performance and robustness of the database. Recently, we've worked on POCs for making our RPC stack's architecture as performant as possible and are integrating OpenTelemetry to accelerate the diagnosis of performance issues and test failures. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems and networking expertise to build the foundational infrastructure of a popular database, join us! Let's build a faster, more reliable, and exceptionally observable database system together This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level network programming Familiarity with database internals or building core components for data processing systems Familiarity with observability ecosystem and best practice Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Responsibilities Lead the architecture and implementation of low-level networking components that drive the performance, scalability, cost-efficiency, and resiliency of MongoDB Server Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues Handle networking-related customer escalations from Technical Support team and coach teammates to do the same Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code Own all code the Networking & Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code Investigate the performance impact of code changes that may cause software performance regressions Interview candidates for advanced software engineering positions Develop and maintain expertise on cutting edge database, networking, and observability developments from industry and academia Lead development and project management of some of the largest projects across the company Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Advise Product Management on technical product direction, engineering complexity and inter-project dependencies Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month, you will have understood the high level architecture of MongoDB networking and observability, and fixed a few bugs In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Networking & Observability Team 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. MongoDB's base salary range for this role in the U.S. is:
A leading data platform company in Palo Alto seeks a Senior Engineer to develop a cutting-edge inference platform supporting semantic search and AI-native experiences. The ideal candidate will have over five years of experience in backend systems and proficiency in languages like Go, Rust, or Python. You'll work alongside ML researchers to enhance infrastructure for real-time inference, ensuring high performance and reliability. This hybrid role offers a unique opportunity to influence the next generation of developer solutions.
02/12/2026
Full time
A leading data platform company in Palo Alto seeks a Senior Engineer to develop a cutting-edge inference platform supporting semantic search and AI-native experiences. The ideal candidate will have over five years of experience in backend systems and proficiency in languages like Go, Rust, or Python. You'll work alongside ML researchers to enhance infrastructure for real-time inference, ensuring high performance and reliability. This hybrid role offers a unique opportunity to influence the next generation of developer solutions.
A leading database technology company is seeking a Networking & Observability expert with extensive C++ experience to lead the architecture of core components, improve observability features, and enhance performance. Applicants should have a strong technical communication background and the ability to mentor others. This role is remote-friendly within North America, offering a chance to shape the future of database infrastructure.
02/12/2026
Full time
A leading database technology company is seeking a Networking & Observability expert with extensive C++ experience to lead the architecture of core components, improve observability features, and enhance performance. Applicants should have a strong technical communication background and the ability to mentor others. This role is remote-friendly within North America, offering a chance to shape the future of database infrastructure.
A leading database technology company in Seattle is looking for a deeply technical leader to enhance the Networking & Observability infrastructure. The ideal candidate has over 12 years of experience in high-performance C/C++ systems, strong communication skills, and a collaborative mindset. This role will involve leading architecture reviews and implementing observability features that significantly impact database performance. Join us to build a more reliable and observable database system.
02/12/2026
Full time
A leading database technology company in Seattle is looking for a deeply technical leader to enhance the Networking & Observability infrastructure. The ideal candidate has over 12 years of experience in high-performance C/C++ systems, strong communication skills, and a collaborative mindset. This role will involve leading architecture reviews and implementing observability features that significantly impact database performance. Join us to build a more reliable and observable database system.
The Networking & Observability Team builds infrastructure for low-overhead observability and communication between MongoDB Server nodes, clients, and other services. We operate close to the bottom of the stack, and have a huge impact on the performance and robustness of the database. Recently, we've worked on POCs for making our RPC stack's architecture as performant as possible and are integrating OpenTelemetry to accelerate the diagnosis of performance issues and test failures. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems and networking expertise to build the foundational infrastructure of a popular database, join us! Let's build a faster, more reliable, and exceptionally observable database system together This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level network programming Familiarity with database internals or building core components for data processing systems Familiarity with observability ecosystem and best practice Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Responsibilities Lead the architecture and implementation of low-level networking components that drive the performance, scalability, cost-efficiency, and resiliency of MongoDB Server Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues Handle networking-related customer escalations from Technical Support team and coach teammates to do the same Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code Own all code the Networking & Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code Investigate the performance impact of code changes that may cause software performance regressions Interview candidates for advanced software engineering positions Develop and maintain expertise on cutting edge database, networking, and observability developments from industry and academia Lead development and project management of some of the largest projects across the company Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Advise Product Management on technical product direction, engineering complexity and inter-project dependencies Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month, you will have understood the high level architecture of MongoDB networking and observability, and fixed a few bugs In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Networking & Observability Team 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. MongoDB's base salary range for this role in the U.S. is:
02/12/2026
Full time
The Networking & Observability Team builds infrastructure for low-overhead observability and communication between MongoDB Server nodes, clients, and other services. We operate close to the bottom of the stack, and have a huge impact on the performance and robustness of the database. Recently, we've worked on POCs for making our RPC stack's architecture as performant as possible and are integrating OpenTelemetry to accelerate the diagnosis of performance issues and test failures. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems and networking expertise to build the foundational infrastructure of a popular database, join us! Let's build a faster, more reliable, and exceptionally observable database system together This role can be based out of our NYC office or remotely from anywhere in North America. Candidate Profile Minimum 12 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level network programming Familiarity with database internals or building core components for data processing systems Familiarity with observability ecosystem and best practice Excellent verbal and written technical communication skills and a strong desire to collaborate with colleagues and mentor engineers Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity Responsibilities Lead the architecture and implementation of low-level networking components that drive the performance, scalability, cost-efficiency, and resiliency of MongoDB Server Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues Handle networking-related customer escalations from Technical Support team and coach teammates to do the same Write production-ready database code in C++, improve the existing code, and mentor their team to write higher quality code Own all code the Networking & Observability Team maintains, ensuring it achieves a high standard for quality (including security, durability, availability, and performance) and maintainability Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code Investigate the performance impact of code changes that may cause software performance regressions Interview candidates for advanced software engineering positions Develop and maintain expertise on cutting edge database, networking, and observability developments from industry and academia Lead development and project management of some of the largest projects across the company Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives Advise Product Management on technical product direction, engineering complexity and inter-project dependencies Collaborate with Product Management and Engineering leadership to define product roadmaps Success Measures In the first month, you will have understood the high level architecture of MongoDB networking and observability, and fixed a few bugs In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features In twelve months, you will be leading the development of new features and initiatives, helping to mentor engineers on the team, and using your experience to drive the long-term technical roadmap of the Networking & Observability Team 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. MongoDB's base salary range for this role in the U.S. is: