Site Reliability Engineer - Distributed Application Support (PCF & GCP)

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Job title: Site Reliability Engineer – Distributed Application Support (PCF & GCP)

About the role

We’re hiring a Site Reliability Engineer with strong distributed application support experience and hands-on Pivotal Cloud Foundry (PCF) knowledge, plus working knowledge of Google Cloud Platform (GCP). You’ll keep business-critical applications available and performing well, manage incidents and production changes, and automate recurring support work. You’ll work closely with development, platform, infrastructure, security and offshore support teams.

What you’ll do

Provide L1/L2 production support for microservices and API-driven applications on PCF and cloud platforms.
Monitor application and platform health, troubleshoot failures, and restore services within agreed targets.
Lead incident triage, escalation, stakeholder updates and blameless post-incident reviews.
Diagnose issues across application code, JVM, APIs, middleware, messaging, databases, Linux, networking and certificates.
Support deployments, configuration changes, upgrades, patching, release validation and rollbacks.
Operate and troubleshoot PCF (orgs, spaces, routes, buildpacks, manifests, service bindings, scaling, logs) using the cf CLI and platform tools.
Apply SRE practices: SLIs, SLOs, error budgets, toil reduction and capacity planning.
Build dashboards, alerts, runbooks and recovery playbooks.
Automate repetitive tasks with Python, Bash or PowerShell.
Join the on-call rotation and work with globally distributed teams.

What you bring

5+ years in SRE, distributed application support, production operations or DevOps.
Hands-on PCF experience: deployments, scaling, routes, buildpacks, manifests and troubleshooting.
Strong troubleshooting across Java/JVM, Linux, APIs, load balancers, DNS, certificates, databases and messaging.
Experience with incident, problem and change management, and root cause analysis.
Observability tools such as Splunk, Dynatrace, AppDynamics, Datadog, New Relic, Prometheus or Grafana.
GCP knowledge: Cloud Logging and Monitoring, IAM, VPC, load balancing, GKE, Cloud Run, Pub/Sub.
Scripting in Python, Bash or PowerShell, plus Git and YAML.
CI/CD experience (Jenkins, GitHub Actions, GitLab CI, Concourse, Argo CD or Cloud Build).
Clear communication with application teams, stakeholders and offshore support teams.

Nice to have

Docker, Kubernetes and GKE troubleshooting.
Terraform or other infrastructure-as-code.
Kafka, RabbitMQ, IBM MQ or API gateways.
Automation, ChatOps or AIOps experience.
Google Cloud, Kubernetes, ITIL or SRE certification.

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Vacancy posted 1 day ago

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