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
- 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 team’s 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
- Drive to self-educate and evaluate new technology
- Has the ability to teach new programming languages to team members
- Has the ability to expand and collaborate across different levels and stakeholder groups
- Demonstrates Strong sense of ownership, urgency, and drive.
Required qualifications, capabilities, and skills
- Formal training or certification on Site Reliability Engineering concepts and 5+ years applied experience.
- 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
- Experience with developing on Cloud, especially AWS, and knowledge in Infrastructure as Code tools such as Terraform.
- Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, 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
Preferred qualifications, capabilities, and skills
- Experience with AWS ECS, EKS & Terraform
- Drive to self-educate and evaluate new technology