Senior Backend Software Engineer
2 meses atrás
We are a leading provider of enterprise security products with a focus on artificial intelligence and machine learning. Our team is distributed globally and serves hundreds of millions of users.
Job SummaryWe are seeking a highly skilled Senior Backend Software Engineer to join our team. The successful candidate will design, build, and maintain highly reliable backend systems that scale to millions of requests per second.
Key Responsibilities- Design and Development: Translate business goals into technical specifications and iterative development plans. Ship early and often, with a focus on producing clearly structured, maintainable, well-documented, and tested code.
- System Architecture: Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators.
- Collaboration: Collaborate with other backend developers to integrate your work with our infrastructure, including automating observability, deployment, quality, and security.
- Code Review and Architecture: Participate in code reviews and architecture & design sessions. Stay up-to-date with recent developments in relevant technologies and assess their applicability.
- Task Ownership: Take ownership of tasks that are not fully defined, proactively helping the team to shape and implement them.
- Professional Experience: 5+ years of professional experience building and maintaining large-scale production systems, with a focus on performance, scalability, and reliability.
- Technical Skills: In-depth knowledge of Python, experience with orchestration platforms (e.g., Argo, Kubernetes), containerization, and microservice design.
- Education: Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
- Soft Skills: Excellent communication, listening, and presentation skills, with experience interacting with diverse audiences and mentoring peers.
- Mathematics: College-level knowledge of mathematics (e.g., linear algebra, probability theory, statistics, matrix calculus).
- Programming Languages: Experience with Rust, Go, or other programming languages.
- Machine Learning: Practical experience applying machine learning (ML) concepts, such as optimization, classification, regression, and generalization.
This is a fully remote position with flexible working hours. We offer a pleasant, modern development and deployment workflow, high impact, and a flat organization with direct interaction with customer teams.
We celebrate diversity and are committed to creating an inclusive environment for all members of our team.
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