We are seeking a highly motivated and experienced Senior Site Reliability Engineer (SRE) to join our growing team. As a Senior SRE, you will play a critical role in ensuring the reliability, scalability, and performance of our production systems. You will leverage your deep understanding of infrastructure, automation, and observability to champion operational excellence and build a resilient platform.
Key Responsibilities:
- Design, build and maintain a comprehensive observability stack (monitoring, logging, tracing) to proactively identify and resolve issues across a complex and dynamic infrastructure.
- Develop and maintain dashboards, alerts, and automated monitoring solutions to proactively detect and respond to incidents.
- Improve incident detection and root cause analysis by enabling high-fidelity, real-time observability.
- Manage and operate our Kubernetes platform, ensuring high availability, performance, and security.
- Design, develop, and implement automation solutions for operational tasks, infrastructure provisioning, and application deployment.
- Implement and maintain proactive measures to ensure platform stability, performance optimization, and capacity planning.
- Provide support and expertise for critical middleware tools such as RabbitMQ, Redis, and Kafka, ensuring their optimal performance and reliability.
- Participate in our on-call rotation, troubleshoot and resolve production incidents efficiently, and implement preventative measures.
- Collaborate effectively with development and other engineering teams.
Qualification:
- Positive attitude and empathy for others.
- Passion for developing and maintaining reliable, scalable infrastructure.
- A minimum of 3 years of working experience in SRE, DevOps, or infrastructure engineering roles.
- Deep understanding of observability principles and practices: metrics, logs, traces, events.
- Hands-on experience with tools such as Prometheus, Grafana, OpenTelemetry, ELK, Fluentd, Jaeger, Zipkin, Datadog, or similar.
- Experience in managing and operating Kubernetes in a production environment.
- Experienced with cloud platforms like AWS or GCP.
- Experienced with high availability, high-scale, and performance systems.
- Understanding of cloud-native architectures.
- Experienced with DevSecOps practices.
- Strong scripting and automation skills using languages like Python, Bash, or Go.
- Proven experience in building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI).
- Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
- Strong understanding of Linux systems administration and networking concepts.
- Experience working with middleware technologies like RabbitMQ, Redis, and Kafka.
- Excellent problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Strong interest and ability to learn any new technical topic.
