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Application Support Engineer
Bengaluru
Job No. atci-5431419-s1993611
Full-time
Descrição
Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Google Cloud Compute Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
The Google EdgeOps Engineer is responsible for operationalizing edge platforms—ensuring edge workloads, connectivity, observability, and automated deployment pipelines run reliably at scale. This role blends DevOps/SRE practices with edge-specific concerns such as constrained compute, intermittent connectivity, distributed sites, and secure remote management.
Roles & Responsibilities:
Operate and maintain edge infrastructure (compute, networking, storage) across edge distributed sites in the world.
Participate in deployment activities
Ensure high availability, resilience, and performance for edge workloads and services.
Implement and manage monitoring, alerting, logging, and tracing for edge devices and services.
Define and maintain runbooks, SOPs, operational dashboards
Own incident response for edge services: triage, root cause analysis, corrective actions, and prevention.
Coordinate with other team for the quick resolution
Drive P1 & P2 bridges
Track and improve SLOs/SLIs, error budgets, and reliability metrics.
Lead post-incident reviews / RCA and drive continuous improvement.
Build and manage CI/CD pipelines for edge deployments, coordinate with Platform & Google teams
Manage Infrastructure as Code (IaC) and configuration management for repeatable deployments , where applicable
Manage Kubernetes clusters at the edge (Google Anthos / GCDC )
Manage containerized workloads
Maintain device fleets and gateways implement remote management strategies.
Professional & Technical Skills:
Cloud: GCP
Containers/Orchestration: Docker, Kubernetes (K3s/MicroK8s/EKS Anywhere/AKS Edge)
CI/CD: GitHub , GCP Cloud Build
IaC/Automation: Terraform
Observability: Prometheus, Grafana, ELK/OpenSearch,
Security: Vault/Key Vault, cert management, image scanning (Trivy/Grype), policy engines
Networking (optional): SD WAN/SASE, VPN, BGP, NAT, DNS, proxies
Reduced deployment failures and faster recovery times (MTTR improvement).
Increased fleet compliance (patching, configuration drift reduced).
Improved reliability against defined SLOs/SLIs (availability, latency, error rates).
Automated onboarding of new edge sites/devices (provisioning time reduced).
Clear operational maturity: documented runbooks, dashboards, and consistent incident processes.
Strong troubleshooting mindset and ability to operate under pressure.
Clear communication with engineering, security, network, and field teams.
Ownership mentality—drives issues to closure and improves systems proactively.
Ability to work across time zones in shifts running 24*7*365and handle on-call rotations
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Compute Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Google Cloud Compute Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
The Google EdgeOps Engineer is responsible for operationalizing edge platforms—ensuring edge workloads, connectivity, observability, and automated deployment pipelines run reliably at scale. This role blends DevOps/SRE practices with edge-specific concerns such as constrained compute, intermittent connectivity, distributed sites, and secure remote management.
Roles & Responsibilities:
Operate and maintain edge infrastructure (compute, networking, storage) across edge distributed sites in the world.
Participate in deployment activities
Ensure high availability, resilience, and performance for edge workloads and services.
Implement and manage monitoring, alerting, logging, and tracing for edge devices and services.
Define and maintain runbooks, SOPs, operational dashboards
Own incident response for edge services: triage, root cause analysis, corrective actions, and prevention.
Coordinate with other team for the quick resolution
Drive P1 & P2 bridges
Track and improve SLOs/SLIs, error budgets, and reliability metrics.
Lead post-incident reviews / RCA and drive continuous improvement.
Build and manage CI/CD pipelines for edge deployments, coordinate with Platform & Google teams
Manage Infrastructure as Code (IaC) and configuration management for repeatable deployments , where applicable
Manage Kubernetes clusters at the edge (Google Anthos / GCDC )
Manage containerized workloads
Maintain device fleets and gateways implement remote management strategies.
Professional & Technical Skills:
Cloud: GCP
Containers/Orchestration: Docker, Kubernetes (K3s/MicroK8s/EKS Anywhere/AKS Edge)
CI/CD: GitHub , GCP Cloud Build
IaC/Automation: Terraform
Observability: Prometheus, Grafana, ELK/OpenSearch,
Security: Vault/Key Vault, cert management, image scanning (Trivy/Grype), policy engines
Networking (optional): SD WAN/SASE, VPN, BGP, NAT, DNS, proxies
Reduced deployment failures and faster recovery times (MTTR improvement).
Increased fleet compliance (patching, configuration drift reduced).
Improved reliability against defined SLOs/SLIs (availability, latency, error rates).
Automated onboarding of new edge sites/devices (provisioning time reduced).
Clear operational maturity: documented runbooks, dashboards, and consistent incident processes.
Strong troubleshooting mindset and ability to operate under pressure.
Clear communication with engineering, security, network, and field teams.
Ownership mentality—drives issues to closure and improves systems proactively.
Ability to work across time zones in shifts running 24*7*365and handle on-call rotations
Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Compute Services.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Requisitos
15 years full time education
