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5 days ago
We are seeking a detail-oriented System Reliability Engineer to improve the reliability, scalability, and performance of our systems. As an expert in infrastructure design and automation, you will collaborate with cross-functional teams to build and maintain the tools that support our applications.
Primary Responsibilities:- Design, deploy, and maintain Kubernetes-based infrastructure for high availability and scalability.
- Build and manage CI/CD pipelines using GitHub Actions for fast and reliable deployments.
- Provision and manage infrastructure in Google Cloud Platform (GCP) using Terraform.
- Manage and optimize Apache Kafka-based systems for reliable message streaming and data processing.
- Monitor and improve system performance and reliability using Prometheus and Grafana.
- Collaborate with developers to automate workflows and implement best practices for infrastructure-as-code (IaC).
- Write Python scripts for automation and tooling to enhance operational efficiency.
- Bachelor's degree in Computer Science or related field (or equivalent work experience).
- 1+ years of experience in DevOps, SRE, or related roles (internships and project experience acceptable for entry-level candidates).
- Hands-on experience with Kubernetes for deploying and managing containerized applications.
- Experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems.
- Experience using Prometheus and Grafana for monitoring and observability.
- A global organization delivering care and technology to millions of people.
- A culture guided by inclusion, talented peers, comprehensive benefits, and career development opportunities.
- Comply with company policies and procedures.
- Participate in on-call rotations and incident response to ensure high service reliability.
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