Storage SRE Backend Engineer — Scale & Reliability (Dublin)

ByteDance; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

ByteDance in Dublin is seeking an experienced Site Reliability Engineer to help scale and stabilize our infrastructure. You will work on Storage, Compute and DB components, shaping reliability standards and developing automated ops for large-scale systems.

Join a team that values ownership, mentorship, and cutting-edge tech, including Kubernetes, Docker, Redis, Kafka, and monitoring platforms to enable efficient service delivery.

Qualifications

• Bachelor's/Master's in CS with at least 5 years of relevant experience.
• Solid knowledge of Linux, storage, and network IO.
• Familiar with Python/Go/Java and design patterns.
• Experience with Redis, MySQL, MongoDB, MQ, and Kafka.
• Experience with Kubernetes, Docker/Containers, AIOps, Spark, Flink, Function as a Service, RPC Framework, and Service Mesh.

Responsibilities

• Reliability: Ensuring the reliability and efficiency of core infrastructure; setting up recovery SOPs.
• Troubleshooting: Locating issues, bottleneck analysis, high availability architecture transformation.
• Efficiency: Building automated operation solutions for large-scale systems; collaborating with development teams.
• Efficiency: Designing and implementing monitoring frameworks for SOA governance.
• Cost: Monitoring and budgeting to optimize infrastructure costs.
• Compliance: Designing and implementing data protection plans to meet standards.

Skills

Linux

Python/Go/Java

Distributed systems

Big data tooling

Education

Bachelor's/Master's in CS

Tools

Kubernetes

Docker

Redis/MySQL/MongoDB

Kafka

Job description

ByteDance in Dublin is seeking an experienced Site Reliability Engineer to help scale and stabilize our infrastructure. You will work on Storage, Compute and DB components, shaping reliability standards and developing automated ops for large-scale systems.

Join a team that values ownership, mentorship, and cutting-edge tech, including Kubernetes, Docker, Redis, Kafka, and monitoring platforms to enable efficient service delivery.