обновлено 27 дней назад
Staff Software Engineer - Confluent Cloud Traffic Engineering (Cloud Networking)
161 000 - 299 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - Confluent Cloud Traffic Engineering (Cloud Networking): Building and operating the Confluent Cloud network data plane for containerized workloads with an accent on distributed systems, performance, reliability, security, and cost optimization. Focus on architecting scalable networking infrastructure, leading software delivery, contributing to open source, and troubleshooting complex multi-cloud systems.
Location: Remote within the United States
Salary: $161,000–$299,000 per year
Company
Software develops AI-powered, cloud-native products and collaborates with Confluent on real-time data infrastructure.
What you will do
- Build, architect, develop, and operate the Confluent Cloud network data plane platform.
- Improve performance, scalability, reliability, resilience, security, and cost efficiency for customer Kafka traffic.
- Drive technical initiatives across networking, cloud infrastructure, and multi-tenancy.
- Independently lead software projects and technically guide engineers delivering production systems.
- Build on open-source software and engage with upstream communities.
- Troubleshoot and improve operations across microservices, containers, virtualization, and all three major cloud platforms.
Requirements
- 8+ years of relevant cloud infrastructure or cloud networking experience.
- Strong distributed systems design and development fundamentals and experience operating large-scale systems.
- Understanding of storage, networking, operating systems, and other systems operations fundamentals.
- Proficiency in C++, Go, Python, or another statically typed language.
- Experience with AWS, Azure, or GCP.
- Experience building and managing Layer 7 proxies, especially cloud-native proxies such as Envoy.
Nice to have
- Open-source contributions to CNCF projects.
- Kubernetes networking experience.
- Strong networking background combined with software engineering experience.
- Master’s degree or education in computer science or a related field.
Culture & Benefits
- Regular learning, professional development, and access to AI-driven training and certifications.
- Healthcare, dental, vision, mental health, life insurance, and disability coverage.
- 401(k), pension plan, employee stock purchase plan, and financial counseling.
- Paid holidays, sick time, vacation, parental bonding leave, and other paid care leave programs.
- Diverse employee resource groups, volunteer opportunities, and product and service discounts.
- Some travel may be required based on business demand.
Hiring process
- The position is expected to remain posted for 21 days from the posting date or until filled.
- Visa sponsorship is not available now or in the future; candidates must be able to work without current or future sponsorship.
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