Responsibilities:

• Design, develop, and optimize scalable data solutions using Apache Spark and Scala on Azure Databricks.
• Write clean, modular, and production-grade Python and Scala code for data processing and transformation.
• Follow and implement best practices related to code quality, modular development, and performance tuning.
• Develop and maintain Databricks assets including notebooks, jobs, and workflows.
• Work extensively with Azure services such as ADLS and Key Vault.
• Collaborate with cross-functional Agile teams to deliver high-quality engineering solutions.
• Design, develop, and maintain PostgreSQL databases for applications and analytical workloads.
• Utilize Git and other configuration management tools effectively.

The Opportunity: 

We're looking for an experienced Backend Software Engineer, ideally with a background in FinTech, to help build and maintain the platform that powers Flywire's industry-leading payment engine — processing hundreds of millions of dollars every day.

You'll join a team designing new functionality and improving existing capabilities to enhance speed, cost efficiency, and scalability. We value collaborative problem-solving, pragmatic design, and a shared sense of ownership over what we ship. If you care deeply about code quality and want your work to have real-world financial impact, this role is for you.

Responsibilities:

• Write clean, testable, secure, maintainable, and extensible backend code across payment processing systems
• Investigate and resolve complex bugs and production issues with precision and care
• Work on non-trivial engineering problems that require deep evaluation of data, system behavior, and tradeoffs
• Understand and improve application scalability and performance proactively
• Contribute to technical design discussions and propose pragmatic solutions in line with team standards
• Collaborate with Product Managers, QA, SRE, and business stakeholders to deliver high-quality outcomes
• Support and participate in the hiring process by helping identify and engage strong engineering talent
• Drive AI readiness and adoption — leverage Claude via AWS Bedrock for AI-assisted development, intelligent code review, automated documentation, and smart observability across payment workflows
• Use AWS Bedrock's enterprise controls (IAM, CloudWatch, VPC, audit logs) to ensure AI usage remains secure, compliant, and fully observable within production environments

Responsibilities

• Approach work from an Agile mindset applying practices and principles wherever possible
• Attend and participate in all Sprint events to achieve desired outcomes
• Interact with stakeholders/Product Owners to clarify requirements and provide input into the creation of User Stories
• Responsible for estimation, sprint planning and managing all their own tasks, and reporting on progress
• Collaborates closely with all team members to take shared responsibility for the sprint backlog and the team’s success
• Develops new or amended features, resolves bugs, and carries out other tasks as required to realize business goals
• Produces high-quality code and takes responsibility for the quality of their own code - writing unit tests and conducting unit testing where applicable
• Maintains broader code quality through peer code reviews
• Assist with live releases in line with the team’s release schedule
• Identify improvement opportunities to improve team processes and agree on actionable improvements

We are looking for a Mid-Level Full Stack Engineer with strong hands-on expertise in the .NET ecosystem and working experience in Java (Spring Boot). This role demands deep technical ownership, strong problem-solving skills, and the ability to learn quickly and make things work in complex systems.

The engineer is expected to actively leverage AI tools to improve development speed, code quality, test coverage, and security posture.

Key Responsibilities

• .NET & Backend Engineering (Core)
• Design, develop, and maintain applications using .NET and C#
• Build and maintain WPF applications using MVVM architecture
• Develop and consume RESTful APIs
• Write clean, testable, and maintainable code following SOLID principles
• Debug and resolve complex functional and performance issue