• As a Netguru freelancer, you can choose what works well for you. • You decide when, where, and how you work on projects and tasks. • We match you with work that fits your skills. • Plus, you have access to various opportunities across different industries and companies. • That means you will not only gain more experience, but also develop various skills. • But there's more. Netguru freelancers can benefit from full-time collaboration and really be a part of the team. • Currently we are looking for a Senior Python Developer.

• Designing and implementing new features. • Collaborating in design discussions. • Diagnosing and resolving bugs. • Supporting cross-team collaboration, integration, and guidance. • Reviewing code written by teammates. • Testing changes to our software to ensure a high level of quality. • At the end of your co-op: you are a fully contributing member of the development team. • You know our product inside and out and feel comfortable navigating the source code alongside your team. • You contribute to design discussions and help shape new initiatives. • You have taken ownership of a project/feature.

• Define and evolve the architecture of our backend platform serving connections from millions of users • Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets • Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team • Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality • Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams • Drive the team to meet performance targets and ship reliable products that protect users at scale

• Build and optimise SQL Server logic that supports investment performance calculations and reporting • Improve query performance and resolve bottlenecks across large and complex datasets • Translate investment data from custodians and market sources into structured, analytics ready models • Work closely with engineering and product teams to ensure outputs are accurate, reliable and aligned to client needs