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 : Kubernetes
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.
15 years full time education
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 : Kubernetes
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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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