Site Reliability Engineer - Data Platform

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto. As a Senior Site Reliability Engineer specialized in Data Infrastructure, you will ensure the reliability, scalability, and efficiency of the data platform while collaborating with cross-functional teams.

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

Requirements:

• Proven experience (5+ years) working as a Site Reliability Engineer, Infrastructure Engineer, Data Infrastructure Engineer, or similar roles, with a focus on data infrastructure and security
• Experience with maintaining real-time data processing technologies, such as Kafka and Flink clusters and Debezium instances
• Working experience in managing hybrid multi-tenant cloud systems particularly on AWS
• Infrastructure as Code tools such as Terraform, Terragrunt and Atlantis
• Experience with containerization and orchestration tools, particularly Kubernetes, Nomad, and Docker
• Solid understanding of bash/shell scripting and proficiency in at least one programming language (preferably Python or JVM languages)
• Experience maintaining data-related technologies: Apache Airflow, Apache Spark, DBs, BI tooling
• Experience solving data access management issues at large scale data-lake
• 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