Our Database Experience (DBX) TeamThe Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. For our PHP team, we are looking to hire an engineer in Ireland. You will be joining a team of three engineers to help streamline and increase the adoption of MongoDB in the PHP community. This role can be based out of our Dublin office or remotely in Ireland. In This Role You Will - Maintain the MongoDB PHP Extension - Work with the libmongoc team to design APIs the PHP driver can leverage - Interface with PHP core developers to stay up-to-date on internal changes in the PHP language - Support our Developer Relations, Documentation, and Education teams in creating high-quality content for PHP developers - Seek out speaking and writing opportunities to engage with the PHP Community You’re Right For This Role If You - Enjoy creating libraries to allow developers build and ship applications faster - Think developers deserve better tools for working with databases - Advocate for testing and agile, iterative software development - Are passionate about Open Source, including giving back to the community - Enjoy working in a small, distributed team (Ireland, France, Germany, Netherlands) For This Role You Must Have - 5+ years of experience working with PHP - 3+ years of experience maintaining PHP extensions - Experience with databases, relational or non-relational - Experience with testing and static analysis - Good written and spoken English communication skills It Helps If You Have - Contributed to the PHP project itself - Have good experience with build tools like autotools and make - Worked with MongoDB and the document model Success Measures - Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing planned features, and thoroughly reviewing your colleagues’ pull requests - Within six months, you will contribute to the roadmap and lead the design and specification of new features. You will have the trust of the team and our customers - Within a year, you will have made significant contributions to our codebase, and will be taking the lead in designing new features and presenting them to our customers at community events About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 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: 1273388409

• Build full-stack apps (JavaScript) end to end • Ship client solutions fast (clear scope, quick feedback) • Design REST APIs and integrations • Translate client needs into working features • Improve and reuse components (less rework) • Support SaaS product evolution (from custom builds)

• Design and implement high-throughput, low-latency services and libraries in Rust and TypeScript • Manage the full lifecycle of on-chain wallets across blockchains - from derivation to ownership, at the scale of a global exchange • Build and maintain the systems that ensure liquidity for clients while maintaining strict compliance with regulatory requirements • Own the core services that give the rest of the exchange visibility into on-chain state • Design and implement integrations with third-party providers to move funds efficiently across chains • Collaborate closely with stakeholders to deliver first-class treasury management tools • Contribute to internal tooling, documentation, and standards that raise the bar for the whole org

Deeter Analytics At Deeter Analytics, we’re building something that doesn’t get built twice in a generation. Our goal is to create a fundamental trading model as capable as today’s most advanced AI systems — but applied to global markets. Not incremental signals or isolated strategies, but a system that can continuously interpret, learn from, and act on the evolving state of the world. We train on large-scale, real-time social data — capturing how narratives form, how sentiment propagates, and how collective behavior drives markets. This requires operating at the frontier of data infrastructure, model design, and compute, all tightly integrated into a single system. You’ll work alongside a small group of elite traders, engineers and AI researchers, in an environment defined by speed and ownership. We run experiments continuously. Ideas move from concept to production in hours. And the feedback loop is immediate — measured directly in live performance. About the role You will build systems where AI agents do most of the implementation, and your role is to define, structure, and validate what gets built. This is closer to operating a high-throughput production system than writing code line-by-line. We prefer systems that scale through better specifications and feedback loops, not manual implementation. What you’ll work on ● Defining systems through clear, executable specifications ● Designing behavioral scenarios and acceptance tests that validate outcomes ● Running tight loops: spec → agent execution → validation → iteration ● Structuring work so agents converge quickly and reliably ● Shipping systems into production with monitoring, rollback strategies, and fast iteration under real constraints What we’re looking for We’re looking for people who can turn ambiguous problems into systems that work, using AI as a primary building tool. Strong signals: ● You have shipped production systems built largely with AI agents ● You think in terms of behavior and outcomes, not implementation details ● You can write precise specifications that machines can execute ● You design validation through scenarios/adversarial cases/black-box testing ● You run fast iteration loops and know how to drive systems toward convergence ● You are comfortable operating at scale large contexts/high token usage/parallel runs ● You take ownership of production outcomes, not just development Bonus signals: ● Experience building or contributing to agent tooling or workflows ● Public work that clearly shows AI-assisted development processes ● Experience designing evaluation systems that are hard to game ● Experience operating as a high-leverage individual or in very small teams ● Strong written communication — clear, structured, and unambiguous