We are looking for a Site Reliability Engineering (SRE) & Production Team Leader to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.
We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.
In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Design, build, and manage our SRE framework to ensure observability, resilience, and high availability.
Develop and automate solutions for proactive monitoring, incident response, and performance optimization.
Improve and maintain our alerting and monitoring stack, leveraging tools like Datadog, Prometheus, and Grafana.
Lead post-mortem analysis and implement continuous improvement initiatives.
Collaborate with DevOps, Engineering, and Product teams to ensure smooth and efficient delivery of reliable services.
Requirements: SRE & Production Manager with 5+ years of experience in SRE, Production Engineering, or DevOps, including 2+ years in a leadership role.
Experience with monitoring and observability tools like Datadog, Prometheus, and Grafana.
A problem solver, capable of finding creative solutions and getting things done.
Fluent with incident management, RCA processes, and operational best practices.
Experience with AWS (EKS, EC2, RDS, S3, networking configurations).
It would be great if you also have:
Experience in high-scale distributed systems.
Background in security and compliance for cloud infrastructure.
Understanding of cost optimization and resource management in cloud environments.
Familiarity with machine learning or predictive analytics for proactive reliability management.
Proficiency in Python, Go, or Bash for automation and scripting.
This position is open to all candidates.