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8 дней назад

Senior Cloud Development Engineer (Kafka)

102 400 - 153 200$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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 Cloud Development Engineer (Kafka): Designing and evolving Kafka-based cloud capabilities for Pega Cloud with an accent on distributed systems, automation, reliability, performance, and cost optimization. Focus on diagnosing complex platform failures, building self-service provisioning and diagnostics, and applying AI-assisted engineering tools with rigorous human validation.

Location: Remote in the United States, Massachusetts

Base salary: $102,400–$153,200 annually, with potential annual bonus or commission and additional benefits.

Company

hirify.global develops Pega Cloud products and foundational cloud services for enterprise engineering teams.

What you will do

  • Design and evolve Kafka-based cloud capabilities used across Pega Cloud.
  • Advise application teams on architecture, sizing, rightsizing, capacity planning, partitioning, storage, retention, replication, and workload growth.
  • Perform root-cause analysis for complex Kafka and distributed-systems issues.
  • Convert recurring production problems into improvements to automation, diagnostics, platform standards, documentation, and self-service capabilities.
  • Use and critically validate AI-assisted tools for log and configuration analysis, prototyping, automation, and documentation.
  • Collaborate with cloud infrastructure, security, platform, application engineering, and operations teams while mentoring engineers and raising technical standards.

Requirements

  • Strong hands-on experience with Apache Kafka in large-scale environments.
  • Solid knowledge of Kafka architecture and behavior, including brokers, controllers, topics, partitions, replication, consumer groups, offsets, rebalancing, retention, and failure modes.
  • Experience diagnosing complex distributed-systems problems and identifying underlying technical causes.
  • Experience with AWS or Google Cloud and with Infrastructure as Code, Terraform, CI/CD, or GitOps workflows.
  • Experience using Go, Python, Java, or another programming or scripting language for automation, tooling, or platform capabilities.
  • Understanding of cloud networking, DNS, TLS, identity and access management, observability, and effective communication in English.

Culture & Benefits

  • Globally distributed engineering environment focused on ownership, curiosity, pragmatic problem solving, automation, knowledge sharing, and continuous improvement.
  • Continuous learning and development opportunities.
  • Innovative, inclusive, agile, flexible, and collaborative work environment.
  • Competitive global benefits, employee equity, and potential bonus or commission.

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