3 дня назад
Senior Software Engineer (Stream Processing & Analytics)
169 200 - 225 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Stream Processing & Analytics): Building and operating cloud-native, multi-tenant Stream Governance services for Kafka and real-time data with an accent on distributed systems, scalability, reliability, and security. Focus on architecting mission-critical backend services across 100+ cloud regions, making complex technical decisions, and mentoring engineers.
Location: Remote within the United States, including locations in Georgia, Minnesota, Texas, New York, North Carolina, Arizona, Washington, Massachusetts, and California. Some travel may be required based on business demand.
Salary: $169,200–$225,600 per year.
Company
Software develops AI-powered, cloud-native products and hybrid cloud solutions for business and enterprise data platforms.
What you will do
- Architect and develop the cloud-native Stream Governance platform for Kafka and real-time data.
- Design and implement complex backend services in a multi-tenant, microservices-based environment.
- Drive projects from requirements and architecture through implementation, rollout, and production operations.
- Operate a mission-critical service with a 99.99% SLA across more than 100 AWS, GCP, and Azure regions.
- Make technical decisions balancing reliability, scalability, performance, security, and operability.
- Provide technical leadership, mentor engineers, and collaborate with engineering teams and stakeholders on the product roadmap.
Requirements
- Must be able to work in the United States without current or future visa sponsorship.
- 8+ years of experience designing, building, scaling, and operating backend systems in production.
- Deep proficiency in at least one of Java, Go, C, C++, or Python, with strong data structures, algorithms, and system design fundamentals.
- Experience with distributed systems, event-driven architectures, high-throughput services, and large-scale data pipelines.
- Experience operating production services in AWS, GCP, or Azure, including Docker and Kubernetes workloads.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; experience leading and mentoring technical teams.
Nice to have
- Experience with mission-critical, multi-tenant, or multi-region services with stringent availability and latency requirements.
- Familiarity with Apache Kafka, Apache Flink, or similar distributed data processing systems.
- Open-source contributions, technical publications, blogs, or conference presentations.
Culture & Benefits
- 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.
- AI-driven learning resources, training, and professional certification opportunities.
- Inclusive employee resource groups, volunteering opportunities, and retail discounts.
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