Site Reliability Engineer Technical Lead
New
J
JobgetherSecurity & IT
Based in United StatesFull-TimeLead
Salary100,000 - 150,000 USD per year
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Job Details
- Experience
- 8+ years of IT experience
- Required Skills
- AWSPythonGCPKubernetesMicrosoft Azure
Requirements
- 8+ years of IT experience, including significant experience in a senior-level SRE, infrastructure engineering, systems engineering, or closely related role.
- Deep understanding and hands-on application of SRE principles within enterprise-scale environments.
- Strong experience with cloud platforms such as AWS, Google Cloud Platform (GCP), and/or Microsoft Azure.
- Solid expertise with microservices architectures and container orchestration technologies, particularly Kubernetes.
- Demonstrated ability to write production-quality code, particularly with Python or comparable programming languages.
- Proven experience designing and implementing automation to reduce manual operational work.
- Experience building and maintaining internal tooling that improves infrastructure and operational processes.
- Strong expertise in observability, including monitoring, alerting, logging, and distributed tracing.
- Experience with technologies such as Dynatrace, Splunk, ELK Stack, or similar observability platforms.
- Strong analytical skills and the ability to interpret system metrics to proactively identify reliability and performance issues.
- Exceptional communication, leadership, and interpersonal skills.
- Ability to collaborate effectively with senior leadership.
Responsibilities
- Drive the operational excellence, reliability, scalability, and performance of critical production systems.
- Apply Site Reliability Engineering principles to enterprise-level systems and continuously identify opportunities to improve resilience and availability.
- Lead technical aspects of incident response, troubleshooting complex production issues and developing sustainable solutions to prevent recurrence.
- Design and implement automation that eliminates repetitive manual work, reduces operational toil, and improves engineering efficiency.
- Develop and maintain internal tools and automated workflows that support scalable, reliable, and self-healing infrastructure.
- Work across cloud environments such as AWS, GCP, and Azure, as well as microservices and containerized platforms including Kubernetes.
- Build, maintain, and optimize observability capabilities covering monitoring, alerting, logging, and distributed tracing.
- Analyze operational metrics and system performance data to guide performance tuning, capacity planning, and reliability improvements.
- Collaborate effectively with engineering teams and senior stakeholders to communicate technical risks, recommendations, and solutions.
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