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Staff Engineer, Observability
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At a glance
- Employment type
- Full-time
- Workplace
- Hybrid
- Category
- Platform / Infrastructure
Technologies & skills
What you'll be doing
Staff Engineer role to design, build, and operate the Observability stack for MongoDB, supporting metrics, logs, traces, and alerts for internal and external customers. The position involves technical leadership, architecture, and hands-on development of distributed systems with high standards for security, durability, availability, and performance.
- Build and architect systems for the observability platform, leading architecture and implementation of components
- Design and implement observability improvements for diagnosing production issues
- Handle production customer escalations and coach teammates
- Write and improve production-ready database code and mentor team members
- Own and maintain code areas for quality and maintainability
- Diagnose test failures, identify and fix bugs, and prevent regressions
- Investigate performance impact of code changes
- Interview candidates for advanced software engineering positions
Key requirements
Must-have
- 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 and performance profiling
- Familiarity with database internals or building core components for data processing systems
- Familiarity with observability ecosystem and best practices
- Excellent verbal and written technical communication skills
- Desire to collaborate and mentor engineers
- Excellent time and project management skills
Nice-to-have
- Indexing or database performance tuning experience
Experience: Minimum 10 years in relevant software engineering roles
Role signals
- Technical focus
- platform/infrastructure, distributed systems, observability
- Leadership
- Mentoring
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
Similar jobs
Full job description
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
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Solving complex problems at scale, and to high standards, excites you
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Minimum 10 years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems.
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Experience running latency sensitive, high throughput systems
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Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
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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
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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
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Design and implement observability improvements that enable MongoDB engineers and customers to quickly and accurately diagnose the root cause of production issues.
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Handle production customer escalations from Technical Support team and coach teammates to do the same
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Write production-ready database code, improve the existing code, and mentor their team to write higher quality code
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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
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Diagnose test failures, identify bugs in existing code, fix them, and prevent bugs from being introduced in new code
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Investigate the performance impact of code changes that may cause software performance regressions
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Interview candidates for advanced software engineering positions
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Develop and maintain expertise on cutting edge database, and observability developments from industry and academia
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Lead development and project management of some of the larger projects across the company
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Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
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Advise Product Management on technical product direction, engineering complexity and inter-project dependencies
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Collaborate with Product Management and Engineering leadership to define product roadmaps
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Champion and improve unit and integration tests to demonstrate correctness
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Work with customers and support engineers to fix issues and become part of our on-call rotation
Success Measures
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In the first month, you will have understood the high level architecture of MongoDB observability, and fixed a few bugs
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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
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In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
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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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 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
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will be assessed on your ability to lead the design, implementation, and operation of large-scale observability systems for MongoDB, focusing on distributed systems, performance, reliability, and technical leadership. Deep expertise in systems programming, observability tools, and collaboration is essential.
- Distributed systems design·High
- Observability stack architecture·High
- Performance & scalability·High
- Technical leadership·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review Observability Stack Technologies
0–8 minFocus on VictoriaMetrics, Splunk, Flink, Kafka, and Fluentbit. Understand their roles and integration points in large-scale observability systems.
Revisit Distributed Systems and Performance Tuning
8–15 minBrush up on concurrency, scalability, and performance profiling techniques relevant to high-throughput, latency-sensitive systems.
Prepare Leadership and Mentoring Examples
15–23 minIdentify concrete stories where you led teams, mentored engineers, or drove technical direction in complex projects.
Reflect on Incident Response and Debugging
23–30 minRecall specific incidents where you diagnosed and resolved production issues, focusing on your process and collaboration.
Talking points
, 6 itemsDistributed Systems Fundamentals
You will design and operate complex, high-throughput, latency-sensitive systems that must meet strict SLOs for security, durability, and availability.
Observability Tools and Best Practices
The role centers on building and maintaining observability infrastructure using tools like VictoriaMetrics, Splunk, Flink, Kafka, and Fluentbit.
Performance Profiling and Optimization
You are expected to diagnose, tune, and prevent performance regressions in mission-critical systems handling billions of metrics and petabytes of data.
Technical Leadership and Mentoring
You will set direction for engineering teams, mentor engineers, and lead architecture and implementation of major projects.
Incident Management and Debugging
Handling production escalations, diagnosing test failures, and fixing bugs are core responsibilities.
Database Internals and Data Processing
Familiarity with database internals or core data processing components is required to improve observability and performance.
What to research
, 2 itemsDistributed Observability System Design
Expect deep questions on designing, scaling, and operating observability platforms that handle massive data volumes and strict reliability requirements.
Performance and Reliability Engineering
Prepare to demonstrate expertise in diagnosing, tuning, and ensuring the performance and reliability of mission-critical infrastructure.
Questions to ask
, 6 itemsWhat are the biggest technical challenges currently facing the Observability team?
Why ask this? Reveals the team's priorities and where your expertise will be most valuable.
How does the team measure the success of its observability platform?
Why ask this? Clarifies expectations and how your contributions will be evaluated.
What is the process for handling production incidents and customer escalations?
Why ask this? Helps you understand operational responsibilities and on-call expectations.
How do engineering and product teams collaborate on roadmap planning?
Why ask this? Shows how cross-functional alignment is achieved and your role in it.
What opportunities exist for mentoring and technical leadership within the team?
Why ask this? Highlights how you can grow and support others in the organization.
How does MongoDB stay ahead of industry trends in observability and database technology?
Why ask this? Gives insight into the company's commitment to innovation and learning.
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