Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate
Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers
Supports the adoption of site reliability engineering best practices within your team
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ 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.
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.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