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Cloud Operations Specialist

2 months ago

San Diego, California, United States Platform Science Full time
About the Role

We are seeking a highly skilled Senior Cloud Reliability Engineer to join our team at Platform Science. As a key member of our cloud operations team, you will be responsible for ensuring the reliability and performance of our cloud-based services.

Key Responsibilities
  • Develop and Enhance CI/CD Pipelines: Design and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline our software development lifecycle.
  • Maintain Helm Charts: Ensure the accuracy and efficiency of Helm charts to manage application deployment and management.
  • Establish Observability Solutions: Implement standardized observability solutions to empower development teams in efficiently managing their applications.
  • Lead Reliability Efforts: Drive the achievement of uptime goals and mentor colleagues in SRE best practices.
  • Conduct Production Readiness Reviews: Work with teams to identify and establish Service Level Indicators and Service Level Objectives (SLIs/SLOs).
  • Design Software Solutions: Develop software solutions to address operational challenges effectively and improve system stability and reliability.
  • On-Call Duties: Provide expert support to development teams for mission-critical applications in production environments.
Requirements
  • 5+ Years of SRE Experience: Possess hands-on experience in SRE or Platform Engineering roles.
  • Automation Expertise: Demonstrated expertise with automation technologies like Jenkins, ArgoCD, or similar.
  • Kubernetes Experience: Experience with Kubernetes (2+ years), Helm, and Docker within production environments.
  • Software Development Lifecycle: Proficiency with current software development lifecycle (SDLC) concepts and best practices, CI/CD pipelines, and test-driven development.
  • AWS Experience: Experience with AWS, encompassing proficiency in EKS, IAM, autoscaling, networking, and load balancing/request routing in a production environment.
  • Programming Skills: Proficient in Python, Bash, Nodejs, and/or Go.
  • Distributed Tracing: Proficient with distributed tracing methodologies and observability tools such as Prometheus, ELK, or Datadog.
  • Documentation and Knowledge-Sharing: Strong emphasis on documentation and fostering knowledge-sharing practices within the team and organization.
  • Mentoring and Training: Track record of successfully training and mentoring engineers.
  • SLI/SLO Expertise: Sound understanding of SLI/SLO concepts and adherence to SRE best practices.
  • Education: Bachelors in Computer Science or related field.