Site Reliability Engineer - Data Platform

Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto for financial freedom and inclusion. As a Senior Site Reliability Engineer specializing in Data Infrastructure, you will be responsible for designing and implementing data governance mechanisms, ensuring the reliability and performance of the data platform, and collaborating with cross-functional teams to support various business units.

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