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 Kubernetes Engine
Good to have skills : Google Cloud DevOps Services
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an Application Support Engineer, a typical day involves acting as a software detective by proactively monitoring and diagnosing issues across various critical business system components. This role requires dynamic problem-solving to ensure smooth operation and minimal disruption. The engineer collaborates with different teams to identify root causes, troubleshoot complex problems, and maintain system stability, contributing to the overall reliability and performance of essential business applications.
Roles & Responsibilities:
Platform & Operations
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
Incident & Reliability
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.
CI/CD & Automation
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
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Kubernetes Engine.
- Good To Have Skills: Experience with Google Cloud DevOps Services.
- Strong knowledge of container orchestration and management within cloud environments.
Manage Kubernetes clusters at the edge (Google Anthos / GCDC )
Manage containerized workloads
Maintain device fleets and gateways implement remote management strategies.
Strong experience with Linux administration and troubleshooting.
Proficiency in Terraform
Proficiency in scripting/programming: Python / Bash / PowerShell.
Hands-on with CI/CD (Azure DevOps, GitHub Actions, GitLab CI, Jenkins).
Experience with observability stacks: Prometheus/Grafana, ELK/OpenSearch, Datadog, Splunk, etc.
Practical understanding of networking fundamentals: TCP/IP, DNS, TLS, routing, proxies, firewalls.
Knowledge of service mesh (Istio/Linkerd) and API gateways (Envoy, NGINX).
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
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 7.5 years of experience in Google Kubernetes Engine.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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