AWS services - Mid Level

Key Skills- AWS, Dynatrace, Grafana, Python, Jenkins

Job Description

• Ability to create an SRE backlog – broad things that need to be done right to implement SRE at scale
• Work with senior stakeholders to agree and drive the backlog
• Liaise and manage dependencies across teams which implementing the backlog; while staying on course and highlighting any derailment early on
• Incorporate various software engineering aspects to develop and implement services that improve IT and support teams - ranging from production code changes to alerting and monitoring adjustments.
• CI/CD Pipeline Development and optimization
• Building proprietary tools from the scratch to mitigate weaknesses in incident management or software delivery.
• Troubleshooting Support Escalation, routing escalations to concerned teams.
• On-Call Process Optimization via automation
• Documenting Knowledge
• Optimizing SDLC

Skills:

• Deep working knowledge of monitoring and log analytics tools like Dynatrace, Splunk, Grafana, CloudWatch, X-Ray
• Coding – should be proficient in scripting languages like Python, Ruby for automation tool development.
• Mastery of cloud infrastructure, particularly AWS services (EC2, S3, RDS, VPC, Lambda, CouldFormation, AWS CLI)
• CI/CD Expertise - setting up and maintaining CI/CD pipelines to automate testing and deployment processes. Skills in using tools like Jenkins, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline are essential.
• Communication - communicate with different teams to report and address incidents, explain technical concepts, negotiate reliability standards, and manage team relationships. They must interact with software engineers, product teams, managers, CEOs, CTOs