Site Reliability Engineer III

• 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 5+ years applied experience

• Minimum 9 years of overall experience, with at least 7 years as a software engineer and/or site reliability engineer focused on Data Warehousing (Oracle/Snowflake), SQL/PLSQL, and large data movement in cloud environments.
• Advanced proficiency in Python and/or Java for large-scale data handling and migration.
• Hands-on experience with platforms and applications hosted on public, private, or hybrid cloud infrastructures.
• Formal training or certification in site reliability engineering (SRE) concepts, with at least 3 years of applied SRE experience.
• Expertise in observability practices, including white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
• Strong understanding of site reliability culture and principles, with practical experience implementing SRE within applications or platforms.
• Proficient knowledge of software applications and technical processes in areas such as Cloud, Artificial Intelligence, and Machine Learning.
• Experience with continuous integration and continuous delivery (CI/CD) tools, including Jenkins, GitLab, and Terraform.
• Skilled in containerization and orchestration technologies such as Docker, Kubernetes, and ECS.
• Familiarity with troubleshooting common networking technologies and issues, and demonstrated ability to work collaboratively in large teams, communicate effectively, address roadblocks proactively, and implement innovative solutions while staying current with emerging technologies.