Senior Software Engineer - Fintech

As a Senior Software Engineer at Ebury, your key responsibilities include contributing to the development of our FX platform's services, collaborating with engineering leaders and team members on designing new services, coaching less experienced team members, and taking full ownership of the products you create. You will play a vital role in automating and improving existing systems while leading product initiatives towards successful delivery.

To qualify for the Senior Software Engineer role at Ebury, candidates should have extensive experience in developing complex software systems, mainly with Python or other OOP languages. Moreover, excellent communication skills in English, both written and spoken, are essential since the team is distributed across different countries. A solid understanding of establishing standard APIs, monitoring systems, and integrating external systems is also crucial.

Ebury is committed to the continuous professional growth of its employees. As a Senior Software Engineer, you will benefit from our structured career progression framework with regular reviews, opportunities for mentorship, certifications, ongoing training, and collaborative team efforts. We believe that personal development and skill enhancement are key to a fulfilling career.

Ebury boasts a vibrant culture that emphasizes collaboration, diversity, and innovation. As a Senior Software Engineer, you will join a diverse technology team that values agile principles and open-source contributions. We prioritize creating a supportive environment where individuals can freely share ideas and drive change, allowing you to contribute to a culture that is inclusive and dynamic.

Absolutely! At Ebury, we encourage candidates to apply even if they don't fulfill every requirement. We recognize that unique experiences and skills can make you a great fit for the Senior Software Engineer position or other opportunities we may have in the future. Your individuality and perspective are valued here.

In a collaborative team environment, I prioritize clear communication and transparency with my teammates. I believe in actively seeking input from others, engaging in regular stand-ups, and utilizing tools for project management and version control to ensure we are on the same page. My goal is to cultivate a collegial atmosphere where everyone feels empowered to contribute their ideas and knowledge.

Certainly! In my previous role, I led a cross-functional team to develop a new feature for our platform. I initiated the project by gathering requirements through stakeholder interviews, then collaborated with the design and engineering teams to create a development roadmap. We held regular touchpoints and demos throughout the process, adjusting based on feedback, and successfully delivered the feature ahead of schedule, leading to increased user satisfaction.

When dealing with legacy code, I start by thoroughly understanding the existing workflows and functionalities. I focus on gradual improvements, starting with small refactoring tasks to enhance code readability and performance, while implementing tests to ensure stability. Finally, I make proposals for larger changes that can help streamline processes and reduce technical debt over time.

To ensure code quality, I adhere to best practices, such as writing clear and well-documented code and applying design patterns where appropriate. I utilize unit and integration tests extensively, and incorporate continuous integration tools to catch potential issues early in the development phase. Peer code reviews are also fundamental in maintaining quality, as they offer opp​ortunities for constructive feedback.

I have extensive experience developing APIs using frameworks such as Flask and Django in Python. I've worked with RESTful architectures and implemented best practices for API design, ensuring they are scalable and secure. Tools like Postman and Swagger are my go-to for testing and documenting APIs, making it easier for others to integrate with our services.

To stay updated in the fast-paced world of software engineering, I regularly attend industry conferences, participate in webinars, and read technical blogs from reputable sources. I also engage with the developer community on platforms like GitHub and Stack Overflow, where I share knowledge and learn from peers. Continuous learning is vital in this field, and I enjoy exploring new technologies to expand my skill set.

In a previous project, we faced a significant performance issue with our data retrieval system. After analyzing the code and examining the database queries, I identified that inefficient indexing was an issue. I collaborated with the database team to redesign the indexing strategy, which dramatically improved the system’s performance. The key was thorough investigation and teamwork to ensure a robust solution.

I am most proficient in Python, which I use for a variety of applications, including web development and data analysis. Its simplicity and versatility enable rapid development, making it ideal for prototyping and building scalable solutions. I’m also comfortable with Java and JavaScript, which have complemented my work in back-end and front-end development, allowing me to contribute more broadly in team projects.

Testing is a fundamental aspect of the software development lifecycle. It helps ensure that the code meets the requirements and functions as intended, reducing the likelihood of defects in production. Testing not only enhances code quality but also builds trust among team members and stakeholders, allowing for smoother deployments and more reliable software. I believe in the 'shift-left' approach, integrating testing early in the development process.

In the case of a disagreement, I believe in open and respectful communication. I would encourage each team member to express their viewpoints and the reasoning behind their suggestions. Facilitating a discussion allows us to weigh the pros and cons collectively. If consensus cannot be reached, I would suggest a trial implementation of both solutions to evaluate their effectiveness, promoting a data-driven decision-making process.