Site Reliability Engineer

Exp in GCP, Kubernetes, IaC - Terraform automation , Dynatrace or any Enterprise APM tool , Prometheus, Grafana, Automation tools, Scripting languages (Python/ Ansible / Golang)

• 4 Year College Degree in Computer Science or Equivalent

• 5 - 6 years’ experience with JAVA, J2EE, NoSQL/SQL Datastore, Spring Boot, GCP/AWS/Azure & Docker/K8 in Maintenance and Development of multi-tier applications.

• Proven work experience in designing, deploying, and operating mid to large scale public cloud environments.

  • Professional Certification

  • Public Cloud >> GCP is a Must have.

• Proven work experience in provisioning Infrastructure as Code (IaC) using Terraform Enterprise or community edition.

• Experience in package, config, and deployment management.

• Strong knowledge in GitHub, DevOps (Tekton is an advantage)

• Should be proficient in scripting and coding, that include traditional languages like Python, Node.js and React.

• Extensive knowledge and hands-on experience in Dynatrace, Grafana and Prometheus micro libraries.

• Exposure to Cloud Monitoring and logging.

• Experience with automation tools should be a priority.

• Automate and manage a highly available and scalable cloud environment that allows development teams to deploy and run their services.

• Having depth knowledge in Terraform (Infrastructure as Cloud) and able to create new terraform or modify the existing file according to Ford formats to create new Monitoring Dashboards / Alert policies and SLA.

• Collaborating with engineering and Architects teams to evaluate and identify optimal cloud solutions, also leveraging scalability, high-performance and security.

• Extensive Log monitoring and analysis for both application and deployment pipeline to keep the Cloud Run services up and running without any issues.

• Creating SLO / SLA / SLI with GCP / Grafana / Dynatrace dashboards.

• Ability to support incident escalation and troubleshooting and conducting blameless postmortem on the incident resolution.

• Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.

• Collaborate with Engineering teams to identify optimization strategies, help develop self-healing capabilities.

• Experience in developing a strong observability capability.

• Regularly reviewing performance analysis of existing systems and making recommendations for improvements.

• Participating in 24x7 on-call production support rotations and handling incident response to minimize disruptions.