We are seeking an Engineering Manager to join the Observability team within MongoDB. This is an opportunity to join a team that is responsible for all Observability systems that support operational metrics, visualization, logs, traces, and alerts to monitor the performance and health of our customers' MongoDB deployments. We are looking for a leader that is results focused, with high standards, and experience in leading engineers in designing, building and operating complex distributed systems at scale, with strict SLO on security, durability, availability and performance.  

Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads.  As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events.

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 expertise to build the foundational infrastructure of a popular database, join us! 

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

What you’ll do

• Lead and coach a team of motivated individual contributors who are eager to learn and grow
• Contribute to the code, design, and architecture of the systems your team develops
• Work with product managers, program managers, and other engineering teams to specify, prioritize and deliver new features that delight our users, internally and externally
• Estimate task complexity, report progress, and voice risks for projects executed by the team
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Collaborate with team members to develop our codebase, best practices, and design principles
• Drive best practices for monitoring, reliability, and performance of observability services in production
• Actively participate in growing the team by hiring
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

• Has at least 6 years of professional software development experience
• Has at least 3 years of people management experience
• Has led engineering teams that have built and maintained large scale systems
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, Rust, C, etc.)
• Good understanding of algorithms, data structures and their time and space complexity
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Is eager to solve tough problems and debug tricky production outages
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Observability team and have contributed minor tasks within our codebase
• In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
• In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation

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.

MongoDB is an equal opportunities employer.

Req ID: 1273361937

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

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 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.

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

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 10 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems. 
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• 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
• Has a good understanding of information security management

Responsibilities

• Help build and architect systems for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own areas of code that the 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, and observability developments from industry and academia
• Lead development and project management of some of the larger 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
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development 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 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 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.

MongoDB is an equal opportunities employer.

Req ID 1273361945

We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance.  

As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you’ll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo.

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 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.

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

Candidate Profile

• Solving complex problems at scale, and to high standards, excites you
• Minimum 12 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems
• Experience running latency sensitive, high throughput systems
• Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
• Familiarity with database internals or building core components for data processing systems
• (Nice to have) Indexing or database performance tuning experience 
• Familiarity with observability ecosystem and best practices
• 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
• Has a good understanding of information security management

Responsibilities

• Define standards and vision for the mission-critical observability platform, leading the architecture and implementation of components that drive performance, scalability, cost-efficiency, and resiliency
• Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
• Handle production customer escalations from Technical Support team and coach teammates to do the same
• Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
• Own all code the 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, 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
• Champion and improve unit and integration tests to demonstrate correctness
• Work with customers and support engineers to fix issues and become part of our on-call rotation 

Success Measures

• In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
• In three months, you will have contributed to the development 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 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 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.

MongoDB is an equal opportunities employer.

Req ID 1273361934

We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You’ll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth.

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

What we are looking for in you

• In the process of receiving or having received a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Recent graduates (including Summer 2026) or professionals with up to 18 months of experience.
• Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design
• Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages
• Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research

What you'll find at MongoDB

• Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js
• Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures, algorithms, and software design
• Leading software projects that help users maintain and understand their MongoDB deployments
• Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues
• Maintaining a balance between delivering software and performing research and development
• Working closely with cross functional teams to create end user features that deliver quality software to our clients
• A fun community of fellow New Grads to attend social events, hangouts, and games nights
• Membership within our Employee Resource Groups where you can gain mentorship and learning opportunities from employees with a shared background or common identity
• A workplace culture where you are encouraged to bring your whole self to work - we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation

About Us

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 Early Talent Recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273361981

We are seeking a Senior Engineering Manager to join the Observability team within MongoDB. This is an opportunity to join a team that is responsible for all Observability systems that support operational metrics, visualization, logs, traces, and alerts to monitor the performance and health of our customers' MongoDB deployments. We are looking for a senior leader that is results focused, with high standards, and experience in leading large teams of engineers (or leads) in designing, building and operating complex distributed systems at scale, with strict SLO on security, durability, availability and performance.  

Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads.  As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events.

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 expertise to build the foundational infrastructure of a popular database, join us! 

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

What you’ll do

• Lead and coach a large team of motivated individual contributors (up to 10) or leads who are eager to learn and grow
• Contribute to the design, infrastructure and architecture of the high-volume ingestion systems your team develops
• Work closely with product managers, program managers, and other engineering teams to specify, prioritize and deliver new features that delight our users, internally and externally
• Estimate task complexity, report progress, and voice risks for projects executed by the team
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Collaborate with team members and leads to improve the health, design principles and best practices of our codebase and on-call rotation
• Drive best practices for monitoring, reliability, and performance of observability services in production.
• Actively participate in growing the team by hiring
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

• Has at least 8 years of professional software development experience
• Has at least 4 years of people management experience and performance management
• Has experience with managing larger teams or leads 
• Has led engineering teams that have built, designed and maintained large scale systems
• Can showcase delivering operationally solid systems and strives and can demonstrate examples of a high bar of engineering excellence
• Is skilled at writing large-scale, distributed backend systems in a compiled language
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Is eager to solve tough problems and debug tricky production outages
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Observability team and have contributed minor tasks within our codebase
• In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
• In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation

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.

MongoDB is an equal opportunities employer.

Req ID 1273361936