Staff Engineer

MongoDB
Dublin, IE
Hybrid

Who this role is best for

Aimed at mid-level engineers with 10+ years in distributed systems who thrive in collaborative, observability-focused roles in Dublin's hybrid model.

Best fit for

  • Engineers who excel in high-throughput, latency-sensitive systems with strict SLOs.
    — “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
  • Candidates with deep systems programming expertise and performance tuning skills.
    — “Strong systems fundamentals, including multi-threaded programming, performance profiling, and expert-level programming
  • Leaders comfortable mentoring engineers and driving long-term technical roadmaps.
    — “using your experience to drive the long-term technical roadmap of the Observability Team

Things to consider

  • Hybrid work model requires Dublin residency.
    — “We are looking to speak to candidates who are based in Dublin for our hybrid working model
  • On-call rotation involvement expected within the first year.
    — “become part of our on-call rotation

How to stand out

  • Demonstrate specific experience scaling observability systems to petabyte scale.
    — “MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events
  • Highlight production debugging of customer-facing distributed systems.
    — “Handle production customer escalations from Technical Support team and coach teammates to do the same
  • Showcase contributions to open-source observability tools like VictoriaMetrics or Fluentbit.
    — “Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and implement observability improvements
  • lead the architecture and implementation of components
  • translate complex requirements into simple and reliable solutions
Typical background
10+ years of experience in designing, programming, debugging, and tuning distributed and/or highly concurrent C/C++/Java/Rust mission critical software systems

Skills & requirements

Required

Distributed-systemsObservabilityMetricsLoggingTracingAlertsPerformance-tuningHigh-concurrencyMulti-threaded-programmingPerformance-profilingDatabase-internalsCloud-native-developmentEvent-driven-architecturesTesting-methodologiesCode-reviewsTechnical-communicationProject-management

Preferred

IndexingDatabase-performance-tuningReactAi-powered-tools

Stack & domain

C/c++JavaRustVictoriametricsSplunkFlinkWarpstream/kafkaGolang FluentbitLeadershipCommunicationProject ManagementObservabilityMetricsLogsTracesAlertsDatabase

About the role

Original posting from MongoDB

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 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: 1273361935

Source: MongoDB careers

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