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 tea
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience.
Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform, e.g., defining and monitoring SLO, SLI, and SLAs
Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
Experience with continuous integration and continuous delivery (CI/CD) and infrastructure as code (IaC) tools like Jenkins, GitLab, or Terraform
Familiarity with container and container orchestration such as ECS, AKS, Kubernetes, and Docker
Familiarity with troubleshooting common networking technologies and issues
Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation
Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team
Preferred qualifications
Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., cloud (preferably MS Azure), artificial intelligence, Android, etc.)