• Our ideal candidate will have 20% of the time influencing junior/mid-level engineers and 80% focused on complex problems. • This candidate considers themselves among the highly technical and likes to push the limits of their knowledge and experience every day. • In this role, you will work on designing, implementing, scaling, and maintaining the code that powers our production systems. • You will work with no supervision, ensuring timely and high-quality delivery. • You will communicate and work closely across 3 teams (Outcomes, Methodology & Recruitment) and with related areas like product and data science. • With great autonomy and freedom to innovate, you will play a key role in world-class research building the next generation of Cint products. • Design, implement, scale, and maintain backend systems that process large volumes of data. • Work on event-driven and API-based integrations. • Contribute to migration efforts toward a more domain-based and scalable architecture. • Build and optimize software for performance-sensitive workflows. • Investigate technical problems and propose solutions together with the team. • Collaborate closely with data science and engineering colleagues on technical solutions. • Participate in a collaborative development model where work is shared rather than handled alone.

• Design, implement, scale, and maintain backend systems that process large volumes of data. • Work on event-driven and API-based integrations. • Contribute to migration efforts toward a more domain-based and scalable architecture. • Build and optimize software for performance-sensitive workflows. • Investigate technical problems and propose solutions together with the team. • Collaborate closely with data science and engineering colleagues on technical solutions. • Participate in a collaborative development model where work is shared rather than handled alone.

• Design, implement, scale, and maintain backend systems that process large volumes of data. • Work on event-driven and API-based integrations. • Contribute to migration efforts toward a more domain-based and scalable architecture. • Build and optimize software for performance-sensitive workflows. • Investigate technical problems and propose solutions together with the team. • Collaborate closely with data science and engineering colleagues on technical solutions. • Participate in a collaborative development model where work is shared rather than handled alone.

• Creates and leads the technical design and development of software solutions. • Proposes & designs software solutions to address complex business needs. • Prepares technical and procedural documentation required. • Facilitates complex problem resolution. • Provides technical guidance and support to colleagues. • Reviews coding, testing, and documentation of software. • Applies modern principles, methodologies and tools to advance business initiatives and capabilities.