8 дней назад
Senior Cloud Development Engineer (Kafka)
102 400 - 153 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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