Senior Site Reliability Engineer, Data Platform (Remote, APAC)

Key Skills

Java Programming, Python Programming, SQL, Big Data Technology, Scala Programming, Presto, Kubernetes-K8s, Google Cloud Platform (GCP), Terraform, SPARK Programming, Apache Flink, Data Lake, Druid, Iceberg

Job Description

Our Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers for our Reliability group:

• The Reliability group operates the data platform efficiently in a consistent and reliable manner. They are reliability engineers that build tools and infrastructure with other teams within the Data Platform to leverage and encourage consistency. They champion reliability across shared platform infrastructure. Think DevOps for Data.
• Data reliability engineers ensure that data flows through the platform on time and as expected. They ensure data services are performing according to service level objectives, that all systems have service level indicators, and if those systems fall below their objectives, recovery is swift. 

Qualifications

While our teams value specialized skills, they've also got a lot in common. We're looking for a(n):

• High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact. 
• Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders. 
• Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.
• Solid software backend engineer: experienced in building and maintaining systems at scale with reliability metrics as a default.

A Senior Site Reliability Engineer at Shopify typically has 4-6 years of experience in one or more of the following areas:

• Working with deployments of distributed query and compute engines (Spark, Flink, Druid, Trino/PrestoDB)
• Familiarity with modern Big-Data storage technologies (Iceberg, Hudi, Delta)
• Strong programming fundamentals, ideally in a variety of languages (Java, Scala, Python, Go)
• Measuring query latencies, resource allocation and management, and data lake performance (Presto, SQL)
• Familiarity with cloud infrastructure (Google Cloud, Kubernetes, Terraform)
• An understanding of operational toil, observability, performance, and scalability
• Familiarity with incident response and management tools like PagerDuty
• Kubernetes certifications (CKA/CKAD) are a plus
• If you don’t know all this stuff, don’t worry, we’ll teach you!