Platform Engineering Specialist (DevSecOps)

• Experience building, architecting, designing, and implementing highly distributed cloud platforms will be highly preferred.
• GCP Administration (GCP IAAS) - Ensure high availability of the infrastructure, administration and overall support.
• Experience using GCP specific services like Compute Engine, App Engine, GKE, Stack Driver, Istio Service Mesh, Anthos, managed services etc.
• Google Cloud infrastructure provisioning including VPC, Subnet, Gateway, Security groups, GCP Cloud Run, Google Cloud SQL, AlloyDB, Kubernetes Cluster etc. 
• Experience with automating Infrastructure as a code using Terraform, Packer, Ansible, Shell Scripting.
• Build and manage Backstage (IDP), Apache DevLake and Grafana Dashboards in K8s will be the key differentiator.
• Build, enhance, and maintain continuous integration/continuous delivery systems.
• Knowledge of CI & CD and tools sets like GitHub, Nexus, Artifactory, Jenkins/Tekton/Travis/Git Actions CI, SonarQube and build tools like Maven /Gradle /NPM will be the key differentiator.
• Knowledge with Cloud platform including Azure and AWS will be added advantage
• Exposure with patch management, APM tools like Dynatrace/AppDynamics, Prometheus, Elastic Search (ELK), Grafana, Splunk for monitoring and alerting.
• Ability to identify and automate recurring tasks for better productivity will be added advantage.
• Ability to understand, implement industry standard security solutions will be added advantage.
• Experience in implementing Auto scaling, DR, Canary, Alpha/Beta, HA, Multi-region with best practices will be an advantage.

• Platform Engineering architect for cloud GCP & K8s, Design critical use-cases and review, Finops to optimize cloud costing, handling security aspects & help the Software Engineers and Senior Software Engineers in their coding across Polyrepo/Monorepo, Microservices & Micro-frontend Architecture, Backstage, DevLake, Grafana and K8s cluster management in CaaS.
• Interact with highly skilled Architects community to share and learn new technologies, scale, performance etc., and troubleshoot the platform constraints in a logical manner applying critical thinking skills.
• Leverage to open-source technologies using public clouds; build and mentor engineers; present ideas to larger organizations groups including innovation; foster culture independently to run team.

BE Computer Science Engineering