Senior Software Engineer, AI Developer Experience

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $228.7 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here * As at 31 March 2026   About Man Direct Lending Man Direct Lending is a specialist middle-market direct lender, focused on creating value-added financing solutions to private equity sponsors and investors in private credit since 2014. The firm’s approach is highly selective, focusing exclusively on direct lending to the core middle market, structuring loans to non-cyclical businesses in the US operating in recession-resilient sectors, typically with an EBITDA of between US$10 million and US$75 million. As a trusted partner for sponsors, Man Direct Lending has completed financing for over 330 borrowers. The Team The Man Direct Lending technology team is part of Man’s Discretionary Technology department, 20 engineers across London and New York building the platforms that power Man Group’s discretionary investment and client-facing operations. The team works very closely with the front-office investment professionals in New York, as well as the broader Discretionary tech department in the UK. The team is focused on integration and automation of deal pipelines, data flows and report generation, leveraging the best tools available from Man’s technology platform. The technology stack in Man Direct Lending is actively being built out, this is a rare opportunity with a high degree of greenfield work, low levels of legacy maintenance, and plenty of opportunity to actively shape the platform yourself. Generative AI and LLM-powered tooling form a growing and strategically important part of our work. We are one of the most active AI-adopting engineering teams in Man Group, and the Man Direct Lending team is at the forefront of applying these capabilities to private credit workflows. The Role This is an engineer role within the Man Direct Lending technology team in New York, working side-by-side with investment professionals and in collaboration with the wider Discretionary tech department in the UK. You will contribute to building and maintaining production systems across the full stack — data pipelines, analytics platforms, web tools, and AI-powered automation — while developing a close understanding of the investment team’s workflows and helping them embrace new technology.  Essential Skills * A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches * Strong knowledge of Python * Proficient on Linux platforms with knowledge of various scripting languages * Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas * Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships * Experience building with or integrating AI/LLM-based tools — we are active early adopters of AI-assisted development and expect engineers at all levels to engage with these tools  Advantageous Skills * Experience in private credit or direct lending investment * A keen interest and understanding of financial markets and instruments * Relevant mathematical knowledge e.g. statistics, optimisation algorithms * Familiarity with LLM agent frameworks, vector search, or RAG pipelines * Experience with Kubernetes and containerisation * Experience with Airflow for scheduled data pipelines * C#/.NET familiarity — some systems across the wider team are built in .NET  Personal Attributes * Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics, or equivalent worked experience * Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others * Demonstrable passion for technology e.g. personal projects, open-source involvement, or active engagement with the AI tooling space * Intellectually robust with a keenly analytic approach to problem solving * Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities * Strong interpersonal skills; able to establish and maintain a close working relationship with investment professionals and senior business stakeholders * Confident communicator; able to argue a point concisely and deal positively with conflicting views Our Technology The target technology stack is on Linux with the majority of code written in Python, using the full scientific stack like Pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI and Django. We are heavy users of Man’s own high performance proprietary database ArcticDB, alongside traditional RDBMS’. Generative AI forms a core and expanding part of our estate — we actively build and ship LLM-powered agents, document intelligence tools, and vector search applications for our investment teams. All our code is deployed using Kubernetes and modern cluster computing frameworks.  Working Here Man Technology has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. * We open-source some of our technology. See https://github.com/man-group * We regularly talk at leading industry conferences We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. In general, Technology roles are expected to be in the office for 3 days a week. However, the specifics can vary based on the role, team, and individual circumstances, and are ultimately subject to the manager’s discretion. The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant.  The Firm reserves the right to modify this pay range at any time. US Pay Range $130,000—$150,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Platform team in NYC. The team is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The team develops software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all MongoDB customers. We are looking to speak to candidates who are based in the NYC area and would like a hybrid or in-office working model. WHAT YOU’LL DO * Build and design new features for MongoDB Atlas * Contribute to and lead complex technical projects * Work with stakeholders throughout MongoDB to build our roadmap and product offerings * Work with customers and support engineers to fix issues and become part of our on-call rotation  * Collaborate with team members to develop our codebase, best practices, and design principles * Foster an inclusive and respectful work environment according to MongoDB's Core Values WE’RE LOOKING FOR SOMEONE WHO * Has at least 6 years of professional software development experience * Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.) * Has experience with at least one major cloud provider technology (AWS, Azure, GCP) * Has led the launch of a new module and maintained it in production * Is eager to solve tough problems * Has excellent communication skills * Is curious, collaborative, and motivated SUCCESS MEASURES * In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems * In 6 months, you'll have contributed to a large project and joined our on-call rotation * In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system 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 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 2273430494 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD