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3 дня назад

Senior Software Engineer (Stream Processing & Analytics)

169 200 - 225 600$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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