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MongoDB

Software Engineer 3

MongoDB is hiring a Software Engineer 3 in Cork and Dublin, Ireland. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • MongoDB has 367 other open roles on Level.
  • Posted in the last few days.

AI in this role

The Kubernetes teams make running MongoDB in and from Kubernetes so frictionless that it is the default database choice for cloud-native applications. Our operators let developers and platform teams provision, scale and operate MongoDB through Kubernetes-native APIs, in their own clusters or in MongoDB Atlas.

You will join the Kubernetes Capabilities squad. Our sister squad builds the shared platform layer of the MongoDB Controllers for Kubernetes; we build the capabilities on top of it that users actually adopt. That means bringing MongoDB features such as Search and Vector Search to Kubernetes, extending what our users can deploy and manage declaratively, and owning the Atlas Kubernetes Operator. Our work starts with a user problem and ends with a Kubernetes API that solves it.

In practice, we build a platform for other engineers. Our users are developers and platform teams who expect self-service, sensible defaults and APIs that behave predictably. If you have built an internal developer platform, a Kubernetes controller, or any system whose customers are other engineers, you will recognise the problems we work on.

No prior experience with MongoDB is required. You will meet most of the team during interviews, and we pride ourselves on being an inclusive, collaborative group that Builds Together. Our core engineering values are Context, Predictability, Transparency, Focus and Craftsmanship.

This role can be based in our Dublin office, Cork office or remotely within Ireland.

The role

We are looking for a Software Engineer to join the Kubernetes Capabilities squad and help decide which MongoDB capabilities our users get on Kubernetes and how they work. You will own significant capabilities from design to production, make sound technical decisions under ambiguity, and raise the engineering bar of the team through design, review and mentorship.

Experience we value

What matters most is that you have built platforms, not only operated them. We value experience from any of these backgrounds:

  • Building Kubernetes controllers, operators, CRDs, admission webhooks or other extensions against the Kubernetes API
  • Building internal developer platforms: self-service provisioning, golden paths, platform APIs, CLIs or developer portals used by other engineering teams
  • Building developer-facing infrastructure products such as SDKs, managed services, CI/CD systems or cloud provisioning tooling

Responsibilities

  • Lead the design and delivery of new capabilities in our Kubernetes operators, from technical design through production support
  • Work with Product and the teams behind MongoDB features to turn them into Kubernetes-native APIs our users can adopt
  • Write technical designs that weigh trade-offs clearly and bring the team and stakeholders to a decision
  • Shape our platform APIs with our users in mind: predictable, self-service and safe to operate
  • Mentor engineers through pairing, code review and design feedback
  • Partner with our platform squad, Support, Docs and other engineering teams, and help resolve complex customer issues
  • Improve how the team works, including testing strategy, release quality and developer experience

Requirements

  • Strong core software engineering skills and several years building production software in a modern language; we mostly use Go
  • Proven experience building a platform for other engineers, such as Kubernetes controllers and operators, an internal developer platform, or developer-facing infrastructure products
  • Deep working knowledge of Kubernetes, including its API model, reconciliation and the operational realities of running workloads on it
  • Experience designing, testing and operating distributed systems in production
  • A track record of leading projects through ambiguity and delivering them end to end
  • Strong written communication, including technical design documents

Nice to have

  • Experience with controller-runtime, kubebuilder or contributing to Kubernetes ecosystem projects
  • Experience with multi-cluster Kubernetes, networking or service mesh
  • Experience running stateful workloads or databases on Kubernetes
  • Experience with a major public cloud provider

What is in it for you

  • Generous compensation package (top-range salary, equity, comprehensive benefits)
  • A diverse, highly collaborative team that values shipping fast and clean
  • Time to learn on the job and grow into new technologies
  • A high level of independence, focused on results rather than the appearance of work

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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273603861

How we rate this

Software Engineer 3 at MongoDB rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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