--- title: 'Software Engineer 3 at MongoDB' canonical: 'https://feeny.ai/job/software-engineer-3-mongodb-cork-zgsdx4wjwjk7' type: 'job' last_seen: '2026-11-08' --- # Software Engineer 3 at MongoDB - **Company:** MongoDB - **Location:** Cork, Ireland / Dublin, Ireland - **Work type:** remote - **Posted:** 2026-11-06 - **Last confirmed live:** 2026-11-08 - **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8337438 ## Job description 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,](https://www.mongodb.com/company) 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](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), 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](https://www.mongodb.com/blog/channel/culture), 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 ## About MongoDB ## Company Overview - **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale. - **Entity Type**: Public (NASDAQ: MDB) - **Headquarters**: New York, USA - **Founded**: 2007 (as 10gen; renamed MongoDB in 2013) - **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan ## Core Business - **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready) - **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications - **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] ## Products & Services - **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)] - **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support. - **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production. - **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform. - **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs). ## Market Standing - **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data). - **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)]. - **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]. - **Growth Signals**: - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)] - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)] - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] ## Competitive Advantages - **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types. - **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in. - **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community. - **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads. - **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects. ## Strategic Focus - **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI). - **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]. - **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption. ## Why Work Here - **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]. - **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos. ## Sources 1. [MongoDB Careers Page](https://www.mongodb.com/company/careers) 2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer) 3. [MongoDB Homepage](https://www.mongodb.com/) 4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770) 5. [MongoDB Culture on Built In](https://builtin.com/company/mongodb/faq/culture-values) ## Other roles at MongoDB - [VP, EMEA Marketing](https://feeny.ai/job/vp-emea-marketing-mongodb-dublin-2j9fwdh9y7h4) — Dublin, Ireland / London, United Kingdom - [Staff Site Reliability Engineer, InfraSec](https://feeny.ai/job/staff-site-reliability-engineer-infrasec-mongodb-dublin-58eeayesrknr) — Dublin, Ireland - [Senior Site Reliability Engineer, InfraSec](https://feeny.ai/job/senior-site-reliability-engineer-infrasec-mongodb-dublin-k10danvjxstn) — Dublin, Ireland - [Advisory Solutions Architect (Pre-Sales)](https://feeny.ai/job/advisory-solutions-architect-pre-sales-mongodb-san-francisco-3nxen9v6mbba) — San Francisco, CA - [Staff Technical Program Manager, IT Audit & Governance](https://feeny.ai/job/staff-technical-program-manager-it-audit-governance-mongodb-new-york-x3zfs4qfxtq0) — New York, NY / Palo Alto, CA - [Candidate Experience Coordinator, Contract](https://feeny.ai/job/candidate-experience-coordinator-contract-mongodb-austin-wtwed7g1r93n) — Austin, TX / New York, NY / San Francisco, CA / United States - [Account Executive (German Speaker)](https://feeny.ai/job/account-executive-german-speaker-mongodb-dublin-8t50q62xssba) — Dublin, Ireland - [Senior Customer Success Manager](https://feeny.ai/job/senior-customer-success-manager-mongodb-london-97d3v26qpzn9) — London, United Kingdom - [Senior Software Engineer, Cluster to Cluster Synchronization, Migration Tooling](https://feeny.ai/job/senior-software-engineer-cluster-to-cluster-synchronization-migration-tooling-c2ej2a76j8xq) — Dublin, Ireland - [Consulting Engineer](https://feeny.ai/job/consulting-engineer-mongodb-paris-767fmw3ty83n) — Paris, France