• Build and scale core components of Turing’s vetting platform, with initial focus on: • AI Interviewer • Task-based vetting platform • Fraud and integrity checks • Design platform-level systems rather than siloed point solutions, with strong emphasis on extensibility, reuse, and long-term maintainability • Partner closely with Product, Design, Data, and Operations to translate ambiguous business problems into scalable technical systems • Lead architecture and implementation for high-scale, high-reliability user-facing and internal workflows • Improve system quality across UX, performance, observability, and developer velocity • Help establish technical direction, engineering standards, and execution rigor for a fast-moving, AI-forward org • Mentor engineers and raise the bar on engineering craftsmanship, systems thinking, and speed of execution

• Design, develop, test, and maintain backend services and platform components that are part of the internal Core Platform and used by multiple Acronis products • Take ownership of services throughout their lifecycle, from design and implementation to deployment and long-term maintenance • Make architectural and technical decisions with a focus on scalability, reliability, backward compatibility, and operational stability • Collaborate closely with other engineering teams, product management, and QA to define requirements and deliver platform capabilities • Write clean, efficient, and well-documented code following established best practices and coding standards • Perform code reviews, ensuring code quality, maintainability, and security • Troubleshoot and debug complex production issues, identify root causes, and implement effective long-term solutions • Mentor junior developers and contribute to a culture of technical excellence and knowledge sharing • Contribute to the continuous improvement of development processes, tools, and engineering practices

• Develop and contribute to real-world web applications • Work on frontend technologies (UI/UX implementation) and/or backend systems (APIs, databases) • Collaborate with mentors and team members in an agile environment • Participate in code reviews and improve coding best practices • Build projects that showcase your skills to future employers

• Develop, test, and maintain tools, scripts, and services that support research workflows on the HPC cluster (e.g., job submission helpers, workflow automation, monitoring tools). • Contribute to internal web applications, command-line tools, or APIs that simplify HPC usage for researchers. • Assist with integrating new research applications and libraries into the cluster environment. • Follow software engineering best practices including version control, code reviews, issue tracking, and testing. • Write clean, maintainable, and well-documented code. • Help identify and implement improvements to development processes and tooling. • Configure, build, and test scientific software, libraries, and containerized applications (e.g., Singularity/Apptainer, Docker) for use on the cluster. • Contribute to performance testing and benchmarking of applications, analyzing results and suggesting improvements. • Support efforts to improve usability, reliability, and automation within the HPC software stack.