Senior Cloud Infra DevOps Engineer: Kafka/Redis & AI Ops

binance; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote-friendly arrangement

Career growth opportunities

Competitive compensation

Job summary

Binance is seeking a senior infrastructure engineer to own and evolve the cloud and data-streaming backbone of a large-scale, consumer-facing platform. You will blend hands-on reliability engineering with platform development, collaborating with product teams to keep services performant and resilient.

You will drive Kafka/Redis operations, incident response, and cloud optimization, while exploring AI/LLM tooling to reduce toil and improve observability.

Qualifications

• 5+ years operating Kafka and Redis in large-scale production environments.
• Proficiency in Python, Go, or Java with solid SQL skills.
• Hands-on experience with Docker and Kubernetes for container orchestration.
• Strong background with CI/CD tooling such as GitHub Actions, Ansible, and Terraform.
• Three or more years working on AWS; exposure to other cloud providers is a plus.

Responsibilities

• Own production Kafka and Redis clusters end-to-end, including deployment, monitoring, scaling, and deep root-cause troubleshooting.
• Respond to live incidents, lead post-incident reviews, and drive structural fixes for long-term stability.
• Manage and optimize AWS and secondary cloud environments for cost, performance, and reliability.
• Build internal DevOps platform capabilities such as online load testing and change management tooling.
• Partner with application engineers to streamline releases and improve the deployment pipeline.
• Integrate LLM and AI frameworks into operational workflows.

Skills

Kafka

Redis

Python/Go/Java

SQL

Docker

Kubernetes

GitHub Actions

Terraform

Ansible

AWS

Tools

GitHub Actions

Job description

Binance is seeking a senior infrastructure engineer to own and evolve the cloud and data-streaming backbone of a large-scale, consumer-facing platform. You will blend hands-on reliability engineering with platform development, collaborating with product teams to keep services performant and resilient.

You will drive Kafka/Redis operations, incident response, and cloud optimization, while exploring AI/LLM tooling to reduce toil and improve observability.