MongoDB Logo

MongoDB

Software Engineer 3, Server Programmability

Posted Yesterday
Be an Early Applicant
Easy Apply
Hybrid
Dublin
Mid level
Easy Apply
Hybrid
Dublin
Mid level
Develop and improve MongoDB Server programmability features using production C++ code, low-level libraries, runtimes, and development tools. Lead medium-sized projects, collaborate across the full software lifecycle, write unit, integration, and performance regression tests, investigate server performance, handle customer escalations, review code and designs, interview candidates, and mentor engineers.
The summary above was generated by AI

The Server Programmability team is focused on programming velocity and safety in the core MongoDB Server. We own low-level libraries, runtimes, and tools that allow internal MongoDB developers to develop features in C++ and Rust quickly and safely.

We are an agile and small team looking for an experienced engineer to join us. We are looking for someone who is excited about operating systems, development tools, programming languages and low-level C++ libraries. 

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

Candidate Profile
  • 3+ years of experience in Systems programming in C++ or other low-level programming languages
  • Hands-on experience with building production-level code. Experience in C++ is required
  • Passionate about delivering and deploying a product with cross-team stakeholders
  • Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
  • Passion for learning new things in the domains of software engineering, distributed systems, and performance
  • Solid verbal and written communication skills and highly motivated to collaborate with colleagues
Position Expectations
  • Understand and improve the current functionality of the MongoDB Server’s Programmability features
  • Lead medium sized projects related to the team’s charter
  • Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
  • Own our leadership principles, and exemplify them in your work
  • Continue to learn and be curious in growing your career!
  • Write production-ready code in C++
  • Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness
  • Investigate the performance characteristics of the server and write performance regression tests
  • Interview candidates for software engineering positions
  • Handle customer escalations
  • Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
Success Measures
  • In the first month, you will have understood the high level architecture of MongoDB 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 a new feature and helping to mentor new engineers on the 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 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: 3273569106

MongoDB Palo Alto, California, USA Office

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

MongoDB San Francisco, California, USA Office

88 Kearny Street, San Francisco, CA, United States, 94108

Similar Jobs at MongoDB

Yesterday
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
The Growth Marketing Manager will develop and optimize product-led growth, lifecycle marketing, and technical audience programs for Voyage AI. Responsibilities include customer journey optimization, audience segmentation, campaign and experiment execution, content development, funnel and adoption KPI analysis, and cross-functional collaboration with Product, Product Marketing, Analytics, Builder Relations, and Data Science. The role focuses on increasing awareness, activation, adoption, usage, and expansion among AI and developer audiences.
Top Skills: AIAPIsLlmsMongoDBRetrieval TechnologiesVoyage Ai
Yesterday
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
Designs and maintains AI-driven automations, integrations, and workflows across marketing technology systems. Partners with marketing, analytics, IT, and engineering teams to translate campaign needs into scalable solutions using Workato and related platforms. Oversees data integrity, troubleshooting, testing, documentation, governance, compliance, and process optimization while serving as a marketing automation subject matter expert.
Top Skills: Ai Orchestration FrameworksAPIsClaudeHubspotIntercomIterableLarge Language ModelsMarketoMcpsMulesoftPythonSalesforceSplashSQLWorkatoWorkfront
4 Days Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.
Top Skills: Ai/MlAlgoliaApache KafkaAtlas SearchAtlas Vector SearchAWSCC#C++DevOpsElasticsearchGCPJavaKubernetesLuceneLucidworksMicroservicesAzureMongoDBMongodb AtlasNode.jsPythonSolr

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account