Below are the open positions:

1. Backend Engineer
2. DevOps Engineer
3. Frontend Engineer
4. Data Scientist
5. Data Engineer
6. Quantitative Data Scientist
   
   

1- Backend Engineer
MDOTM is looking for a Backend Engineer to join our Engineering Team. You will play a key role in designing, developing, and maintaining the backend services that power our products, contributing to a reliable, scalable, and efficient architecture that enables fast and secure software delivery for Sphere, our proprietary AI-driven investment platform.
Your responsibilities

• Develop, maintain, and optimize scalable Spring Boot application
• Implement clean, modular, and testable Java code
• Contribute to design and implement features following relational (MySQL) and NoSQL (MongoDB) databases
• Implement and follow best practices in software architecture, leveraging Layered Architecture, DDD, or Event-Driven design
• Troubleshoot and optimize backend performance and security
• Work with DevOps teams to improve CI/CD automation and deployment processes

Requirements

• Experience with Java and Spring Boot, with a basic understanding of REST APIs and microservices.
• Experience or familiarity with SQL and NoSQL databases.
• Familiarity with software architecture patterns, such as Layered Architecture, Domain-Driven Design (DDD), or Event-Driven Design.
• Experience with testing and TDD, with familiarity with tools such as JUnit, Mockito, or Testcontainers.
• Familiarity with messaging systems, such as Kafka or ActiveMQ.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.
• Good communication and problem-solving skills, with the ability to explain technical concepts and solutions clearly to different stakeholders.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.
• As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.

 

2- DevOps Engineer

MDOTM is looking for a DevOps Engineer to join our Platform Team. You will play a key role in supporting, enhancing, and maintaining the foundational infrastructure and tools that empower our product teams, contributing to a reliable, scalable, and efficient developer platform that enables fast and secure software delivery for Sphere, our proprietary AI-driven investment platform.
Key Responsibilities

• Contribute to the design, implementation, and automation of CI/CD pipelines (GitLab CI/CD) to ensure fast, safe, and repeatable releases across all environments.
• Assist in the adoption and management of Infrastructure as Code using Terraform and Ansible, helping provision and manage on-premise and AWS resources in a controlled, auditable, and reproducible manner.
• Work with Docker and Kubernetes to package and operate services, contributing to declarative configuration, GitOps practices, and efficient resource utilization.
• Help implement and maintain monitoring, logging, and tracing solutions (Prometheus, Grafana, ELK, Zabbix), and participate in on-call rotations to ensure high availability and low Mean Time To Recovery (MTTR).
• Contribute to embedding security best practices (OWASP Top 10, least privilege IAM, shift-left testing) into the SDLC and help automate security controls within pipelines.
• Support the management and automation of database infrastructure (MySQL, MongoDB), including provisioning, backups, and automated schema migrations.
• Automate and support the deployment, scaling, and operational health of core platform services (authentication, data pipelines, messaging) for internal consumers.

Requirements

• Experience or exposure to DevOps, infrastructure, automation, or CI/CD, gained through work, internships, university projects, or personal projects.
• Experience with Docker and basic familiarity with Kubernetes, including working with containers and Dockerfiles.
• Familiarity with Infrastructure as Code tools such as Terraform or Ansible.
• Experience with at least one scripting language, such as Python or Bash, and an interest in using code to automate tasks.
• Basic understanding of security best practices in software development and infrastructure.
• Good analytical and problem-solving skills, with a structured approach to troubleshooting technical issues.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.
• As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.

 

3- Frontend Engineer

MDOTM is looking for a Frontend Engineer to join our Engineering Team. You will play a key role in building and enhancing the visual and interactive aspects of our applications, contributing to a seamless, responsive, and intuitive UI/UX experience for Sphere, our proprietary AI-driven investment platform. You will work closely with designers, backend developers, and Product to transform wireframes and ideas into functional, scalable, and secure web experiences. You’ll also contribute to technical decisions, proactively suggesting effective solutions and helping shape the evolution of our frontend architecture in a collaborative, cross-functional environment.
Your responsibilities 

• Design, develop, and maintain scalable and responsive web applications using React.js and TypeScript. 
• Transform wireframes and prototypes into functional, high-quality interactive components with a focus on seamless user experience.
• Drive the adoption of frontend best practices, ensuring code is clean, modular, and follows modern standards.
• Implement robust security measures including XSS prevention, CSRF protection, and secure data handling (HTTPS/Encryption).
• Manage authentication and authorization flows, ensuring secure handling of user sessions and role-based access control (RBAC).

Requirements

• Experience with TypeScript, HTML5, CSS3, and React.js, with a basic understanding of components, Hooks, and state management, gained through work, internships, university projects, or personal projects.
• Experience working with asynchronous data and APIs.
• Familiarity with frontend security principles, such as input validation and data sanitization.
• Experience using Git for version control and collaboration.
• Familiarity with frontend testing and testing libraries.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.
• As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.

 

4- Data Scientist

MDOTM is looking for a Data Scientist to join our Research & Development Team. You will play a key role in developing the proprietary AI models that power our fintech solutions, working at the intersection of advanced mathematics, machine learning, and scalable coding. You will work closely with scientists and engineers to research, develop, and evolve the models at the core of our platform.
Key

Responsibilities

• Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets, leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods.
• Own the full model lifecycle, from data selection and representation to deployment and performance tuning.
• Develop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability.
• Conduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&D goals.
• Build and maintain automated systems to monitor data quality, model health, and detect drift or instability.
• Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process
• Apply "divergent thinking" to overcome technical bottlenecks and optimize data retrieval and processing workflows.

 Requirements

• Experience with Python and an ability to use it to develop and implement solutions.
• Familiarity with LLMs and AI tools for development is a plus, together with a critical mindset to test and validate generated code.
• Good understanding of programming logic and software development principles.
• Experience or familiarity with statistical modeling and techniques, such as time series analysis, signal processing, random forests, bagging, or hyperparameter optimization.
• Strong analytical and problem-solving skills, with the ability to approach problems from different angles and find creative, efficient solutions.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.
• As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.

 

5- Data Engineer 

MDOTM is looking for a Data Engineer to join our Engineering Team. You will play a key role in shaping and scaling the data infrastructure that powers our products, analytics, machine learning, and critical business decisions as the organization grows in complexity and data maturity. You will take ownership of how data flows across the company, from ingestion to consumption, designing and evolving reliable, scalable, and efficient data pipelines and systems and you will work closely with engineering, product, and data teams to ensure data is well-structured, accessible, and fit for purpose.
Key Responsibilities 

• Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
• Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
• Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
• Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.
• Define and evolve data models and storage structures across relational and NoSQL systems
• Optimize data processing workflows for performance, reliability, and operational stability
• Contribute to technical decision-making and help define the roadmap for data infrastructure.

Requirements 

• Degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with Java, Python, or other programming languages, with an interest in building data-driven solutions.
• Experience or familiarity with data modeling, SQL, and relational/NoSQL databases, as well as data quality, validation, and monitoring practices.
• Experience working with data pipelines or data-intensive systems, through professional work, internships, university projects, or personal projects.
• Good analytical and problem-solving skills, with an interest in troubleshooting and improving data systems.
• Basic understanding of financial data and concepts, or a strong interest in learning how financial data is structured and used.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.
• As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.
  
  

6- Quantitative Data Scientist

MDOTM is looking for a Quantitative Data Scientist to join our Research & Development Team. You will play a key role in bridging quantitative modeling with real-world financial applications, helping translate complex ideas into robust, scalable solutions for our investment platform. You will combine strong financial intuition with a hands-on approach, working across research and investment functions to translate business needs into technical solutions and ensure our strategies remain aligned with client expectations. You’ll help connect ideas, data, and technology, turning quantitative innovation into real-world impact.
Key Responsibilities

• Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks.
• Translate research signals into actionable investment strategies and portfolio construction frameworks.
• Design, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity.
• Contribute to the financial validation layer of the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement.
• Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution.

Requirements

• Degree or background in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.
• Experience or familiarity with portfolio construction, asset allocation, and risk management.
• Experience with Python, Java, or other programming languages, ideally applied to financial modeling, data analysis, or machine learning.
• Interest in connecting finance and technology, with the ability to understand investment concepts and translate them into technical solutions.
• Strong analytical and problem-solving skills, with the ability to work with complex quantitative concepts.
• Good English communication skills, a collaborative mindset, and a willingness to learn and grow in a fast-moving environment.

Compensation and Benefit

• Truly flexible work environment, we care about output, not hours logged.
• Collaborate daily with an ultra-international team (18+ nationalities) across our Milan, London, and New York offices.
• Annual company retreat at a stunning location, because we invest in our people beyond the day job.
• Real, fast-track career progression, with outsized growth opportunities for early team members.

As a general guideline, compensation for junior graduates with some relevant experience starts from €27,000 and increases based on the level of seniority and experience demonstrated.