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Site Reliability Engineer - Data Platform

Kraken
Europe, United States, Canada
Full time
$110,000 - $176,000 per year
Remote

Overview

Department

IT

Job type

Full time

Compensation

$110,000 - $176,000 per year

Location

Europe, United States, Canada

Company size

Mature [ 50+ employess ]

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Join Kraken's Data Infrastructure team to ensure the reliability, scalability, and efficiency of their data platform. Collaborate with cross-functional teams to design and maintain data infrastructure.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Proven experience (5+ years) working as a Site Reliability Engineer, Infrastructure Engineer, or similar roles, with a focus on data infrastructure and security.
  • Experience with real-time data processing technologies, such as Kafka and Debezium
  • Working experience in managing hybrid systems particularly AWS and (HashiCorp nice to have).
  • Infrastructure as Code tools such as Terraform, Terragrunt and Atlantis
  • Experience with containerization and orchestration tools, particularly Kubernetes and Docker
  • Solid understanding of bash/shell scripting and proficiency in at least one programming language (preferably Python or Rust).
  • Familiarity with CI/CD deployment pipelines and related tools.
  • Strong problem-solving skills and the ability to troubleshoot complex systems.
  • Experience with data-related technologies (databases, data lakes, airflow, spark) is a plus.

    • Responsibilities

  • Design the data governance mechanisms that ensure our lakehouse is easy to interact with, secure and in compliance with all applicable regulations.
  • Implement the infrastructure we use to ingest our data, store it, catalog it with the right metadata and capture its lineage.
  • Provide a state-of-the-art suite of BI tools for multiple teams within the company.
  • Guarantee the availability, high performance, scalability and cost efficiency of our data platform.
  • Implement data infrastructure solutions (self service) that support the needs of 10+ business units and over 100 engineering and data analysts
  • Utilize Infrastructure as Code (IaC) principles to design, provision, and manage both on-premises and cloud (AWS) infrastructure components using tools such as Terraform
  • Develop and maintain automation scripts using bash/shell scripting and to automate operational tasks and deployments.
  • Enhance and manage CI/CD pipelines to facilitate consistent software deployments across the data infrastructure.
  • Implement robust data monitoring and alerting solutions to proactively detect anomalies and performance issues.
  • Manage and implement role-based access control (RBAC) and permissions for a multitude of user groups and machine workflows across different environments
  • Manage and maintain real-time streaming data architecture using technologies like Kafka and Debezium Change Data Capture (CDC).
  • Ensure the timely and accurate processing of streaming data, enabling data analysts and engineers to gain insights from up-to-date information.
  • Utilize Kubernetes to manage containerized applications within the data infrastructure, ensuring efficient deployment, scaling, and orchestration.
  • Implement effective incident response procedures and participate in on-call rotations.
  • Collaborate with data analysts, engineers, and cross-functional teams to understand requirements and implement appropriate solutions.
  • Document architecture, processes, and best practices to enable knowledge sharing and support continuous improvement.
  • Support AI/ML teams with their infra requests
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