Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised

Description

  • Design and build real-time and batch data pipelines for high-volume workloads.
  • Develop scalable systems for data ingestion, transformation, enrichment, and delivery.
  • Own the full data pipeline lifecycle, including development, testing, deployment, monitoring, and optimization.
  • Improve data quality, observability, reliability, and operational performance across data platforms.
  • Optimize data processing systems for scalability, latency, and cost efficiency.
  • Partner with Analytics, Product, and Engineering teams to support reporting, automation, and downstream data consumption.
  • Lead technical discussions, design reviews, and architecture decisions related to data platforms.
  • Participate in production support and incident response for critical data systems.

Requirements

  • 6+ years of experience in data engineering, software engineering, or backend engineering.
  • Experience building and operating real-time or streaming data systems.
  • Experience with streaming technologies such as Kafka, Flink, or similar platforms.
  • Experience developing distributed systems using Go, Java, Python, Rust, or similar languages.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Experience with event-driven architectures or low-latency data processing systems (preferred).
  • Experience with CDC, event sourcing, or microservices-based data pipelines (preferred).
  • Experience with data warehouses, lakehouse architectures, or large-scale analytical platforms (preferred).
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation (preferred).
  • Experience implementing CI/CD practices for data platforms (preferred).
  • Experience mentoring engineers or leading technical initiatives (preferred).
  • Experience supporting machine learning, analytics, or AI-driven workloads (preferred).

Interested in this position?

Apply directly on the company website

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