Joblaze summary

In this role, the Software Engineer 3 will focus on developing tools that enhance user understanding of MongoDB's performance and health, particularly within the observability domain. Key skills include backend development in compiled languages like Java or Go, along with experience in scalable web application architecture. This position is suited for engineers with a solid foundation in algorithms and data structures, ideally with some familiarity in observability tools and database internals. The team emphasizes collaboration and continuous improvement, contributing to MongoDB's rapidly growing Atlas product.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 30, 2026. Last confirmed on MongoDB's careers page November 14, 2026.

Quick facts

Is the Software Engineer 3, Data Pipeline role remote?: It's hybrid — MongoDB expects some on-site time in Dublin, Ireland.
Where is the role based?: MongoDB is hiring for this position in Dublin, Ireland.
What's the tech stack?: Joblaze extracted these technologies from the posting: C, C++, Go, Java, Node.js, React.
What seniority level is this role?: MongoDB targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer 3, Data Pipeline role at MongoDB.

From the original posting

The Data Pipeline team, within the MongoDB Observability organization, builds and supports scalable, highly available capabilities for transporting and transforming telemetry data across MongoDB. The team's mission is to provide a unified streaming pipeline that ingests data and processes high-throughput telemetry, enabling the migration of legacy observability solutions within MongoDB.

Built on a diskless, Kafka-compatible data streaming platform as the core streaming bus and Apache Flink for real-time transformations and delivery to storage, the platform lives on Kubernetes clusters and enables downstream consumers to access live telemetry for immediate analysis and reliable long-term retention. The main concern of this team is to provide reliable systems with high availability and replay capabilities.

About the role

We're looking for a Software Engineer 3 to help build and operate this platform. This is an individual contributor role that combines hands-on software development with systems and site reliability engineering. You'll contribute code and ship backend improvements, while also troubleshooting production issues and helping keep the services reliable.

If you enjoy both building distributed systems and understanding how they behave in production, this role offers the opportunity to work on high-volume telemetry processing with meaningful operational responsibility. You'll contribute to medium-sized technical projects and grow with support from experienced engineers.

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

We're looking for someone who

Enjoys working with other engineers, is approachable and curious, and is open to feedback
Has experience with Kafka-compatible streaming platforms, Apache Flink, or comparable stream-processing technologies
Has experience writing production backend systems in a compiled language, such as Java, Go, C, or C++
Has experience designing and developing scalable distributed services, with an understanding of performance, availability, and failure handling
Has worked with event-driven systems, ingestion pipelines, or high-throughput data processing
Has hands-on experience managing the development and release lifecycle on Kubernetes clusters using GitOps tools such as Argo CD or Flux
Has hands-on experience applying a data-driven approach to debugging and troubleshooting production systems using tools such as profilers and flame graphs to collect evidence
Is comfortable being part of 24/7 on-call rotations
Can explain their own technical contributions, the trade-offs they made, and the evidence used to evaluate results
Has a strong understanding of algorithms, data structures, and time and space complexity

Nice to haves

Experience with telemetry, metrics, logs, or observability infrastructure
Experience using service-level indicators, objectives, or agreements to guide reliability improvements
Experience improving monitoring, alerting, incident response, or operational automation

Role responsibilities

Design, write, test and maintain backend code and features for the Data Pipeline platform
Contribute to and lead medium-sized technical projects through production delivery
Help improve the scalability, availability, and reliability of telemetry ingestion, transformation, and delivery to downstream storage
Investigate production issues using metrics, logs, and other evidence, and contribute to fixes and preventative improvements
Participate in the team's on-call rotation and support customer escalations with support engineers and teammates
Be customer-driven by collaborating with the sister teams and customers to improve the Observability user experience
Contribute to technical discussions, code reviews, coding best practices, and operational improvements

Success measures

In 1 month, you'll be familiar with the systems the Data Pipeline team owns, the telemetry flow and the team's development practices, and you'll have completed minor codebase tasks
In 3 months, you'll be contributing to the design and development of team projects and shipping changes regularly
In 6 months, you'll be taking on small and medium-sized projects, contributing actively to technical discussions, proactively improving the platform, supporting customer escalations, and participating in the on-call rotation

MongoDB is an equal opportunities employer.

Req ID: 1273361971

Standard company text repeated across MongoDB's postings is omitted here.

Software Engineer 3, Data Pipeline

About the role

We're looking for someone who

Nice to haves

Role responsibilities

Success measures

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