Application Engineer

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, ne...

MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out ...

Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During...

4–7 years of experience in software development, with a strong foundation in
Core programming concepts specific to JAVA
Relational databases and SQL, including basic stored procedures
Application debugging and performance tuning
Exposure to one or more enterprise application architectures, such as Spring Boot or Hibernate
Experience working in Agile teams, with a familiarity with CI/CD pipelines and Git for version control
Demonstrated curiosity and ability to learn new tools, frameworks, and best practices quickly
Excellent problem-solving skills and a collaborative mindset
Strong communication skills to engage effectively with team members and stakeholders
Nice-to-Have Skills
Familiarity with MongoDB or similar NoSQL databases
Basic knowledge of GenAI tools and APIs (e.g., OpenAI GPT models)
Exposure to Python and its application in scripting or data processing
Basic understanding of cloud-native development concepts (e.g., Docker, Kubernetes, or microservices)
Hands-on experience with ORMs like Hibernate or JPA
Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP
Knowledge of containerization and orchestration tools like Docker and Kubernetes
Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects
Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences
Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations
Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices

Due to the highly regulated nature of our industry, successful candidates may undergo enhanced