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
- Engage development team with constant feedback cycles on improvements to develop software for reliability and scale, and maximize cloud variable spend by applying rightsizing, down scheduling and serverless options.
- Design automated software and product upgrades, resiliency patterns, change management, and release management solutions.
- Troubleshoot priority incidents and critical components of applications and platforms, facilitate blameless post-mortems and ensure permanent closure of incidents.
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 5+ years of 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
- 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
- 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
Preferred qualifications, capabilities, and skills
• Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Demonstrated achievements with automation of operational excellence, especially pro-active monitoring.
• Experience in support of REST API interface and Spring Boot; AWS ECS, EKS & Terraform
• Knowledge in one or more general purpose programming / scripting languages