
Senior Data infrastructure Backend Engineer
- תל אביב
- משרה קבועה
- משרה מלאה
- Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
- Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
- Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
- Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
- Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
- Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
- Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
- Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
- Proficiency in programming languages such as C#, Python, Java, or Go.
- Experience building large-scale infrastructure applications or large-scale web applications.
- Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
- High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
- Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
- Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.