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

Required qualifications, capabilities, and skills

•  Formal training, or certification on software 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
• 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

• Expertise on Observability tooling, including Dynatrace, Splunk, Grafana, Datadog, Cloudwatch
• Exposure to Chaos Testing/Experiments using Gremlin 
• Expertise on AWS services to be able to design for reliability, and to identify any improvement opportunities in existing architectures
• Working experience on application development using Java / Python or any other coding languages
• Certifications in AWS, Splunk, Dynatrace, Terraform, Python etc. would be preferred
• Basic to intermediate level of understanding on Mainframe applications (Cobol, JCL, DB2, IMS, CICS, VSAM) is preferred