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 recent 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.

📌 Application Support Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru