Site Reliability Engineer - Data Platform

Kraken

169d

About The Position

As a Senior Site Reliability Engineer (SRE) specialized in Data Infrastructure, you will collaborate closely with diverse cross-functional teams to conceive, execute, and oversee the foundational data infrastructure that empowers our array of applications and services. You will play a pivotal role in upholding the reliability, scalability, and efficiency of our robust Data platform.

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.

Nice To Haves

• 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 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.

Benefits

• Fully remote work environment.
• Opportunity to work with a world-class team.
• Diverse and inclusive company culture.

What This Job Offers

• Career Level: Senior