Lead Site Reliability Engineer
Lead Site Reliability Engineer
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$ 152000 - 215000
1 Vacancy
Job Description
Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.
Job responsibilities
- Lead all SRE activities in support of AI4Tech enterprise AI Agent platform
- Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
- Leads initiatives to improve the reliability and stability of your teams applications and platforms using data-driven analytics to improve service levels
- Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
- Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
- Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
- Documents and shares knowledge within your organization via internal forums and communities of practice
Required qualifications capabilities and skills
- Highly experienced in operating and provisioning Kubernetes clusters.
- Deep proficiency in AWS services EKS RDS VPC EC2 Bedrock
- Deep proficiency in reliability scalability performance security enterprise system architecture toil reduction and other site reliability best practices with the ability to implement these practices within an application or platform
- Fluency in at least one programming language such as (e.g. Python Java Spring etc.)
- Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
- Proficiency and experience in observability such as white and black box monitoring SLO alerting and telemetry collection using tools such as Grafana Dynatrace Prometheus Datadog Splunk etc.
- Proficiency in continuous integration and continuous delivery tools (e.g. Jenkins GitLab Terraform etc.)
- Experience with container and container orchestration (e.g. ECS Kubernetes Docker etc.)
- Experience with troubleshooting common networking technologies and issues
- Ability to identify and solve problems related to complex data structures and algorithms
- Drive to self-educate and evaluate new technology
- Ability to teach new programming languages to team members
- Ability to expand and collaborate across different levels and stakeholder groups
Employment Type
Full-Time
