
Reliability and Performance Lead
1 week ago
Job Title: Reliability and Performance Lead
">The primary function of this position is to lead a team in the development and implementation of strategies for enhancing system reliability, performance, and scalability. The ideal candidate will have extensive knowledge of observability tools and methodologies, as well as strong leadership skills.
">Key Responsibilities:">- ">
- Develop and implement comprehensive strategies for enhancing system reliability, performance, and scalability.">
- Lead a team of professionals in the development and implementation of these strategies.">
- Establish observability practices to ensure real-time insights into system performance, availability, and customer experience.">
- Implement monitoring tools, metrics, and dashboards to proactively identify and address potential issues.">
- Drive continuous improvement initiatives to enhance operational effectiveness and reduce mean time to resolution (MTTR).">
- Collaborate with multi-functional teams to enhance customer journeys through seamless and reliable technology experiences.">
- Promote and implement standard methodologies for reliability engineering, including error budgeting, chaos engineering, and disaster recovery planning.">
- ">
- 3-8 years of experience and degree or equivalent experience in Computer Science, Information Technology, or related field. Advanced certifications in SRE or related are a plus.">
- Deep understanding of observability tools and methodologies, including experience with logging, monitoring, tracing, and performance analysis platforms.">
- Strong leadership and people management skills, with the ability to inspire and empower successful SRE teams.">
- ">
- Hands-on coding and System Design of highly available distributed systems">
- Java/Golang/Javascript, Kubernetes, Docker">
- Knowledge on modern observability stack – splunk, elastic search, Prometheus, Grafana">
- Knowledge of cloud-based SRE practices and experience with public cloud platforms such as AWS, Azure, or Google Cloud.">
- Familiarity with containerization technologies (e.g., Kubernetes, Docker) and microservices architecture.">
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