Key Responsibilities

Provide L1 / L2 production support for distributed, microservices-based, and API-driven applications running on PCF and cloud platforms.
Monitor application and platform health, investigate alerts, troubleshoot failures, and restore services within agreed operational targets.
Lead incident triage, escalation, stakeholder communication, service recovery, and blameless post-incident reviews for high-priority production issues.
Diagnose issues across application code, JVM/runtime, APIs, middleware, messaging, databases, Linux, networking, certificates, and platform services.
Support application deployments, configuration changes, platform upgrades, patching, release validation, rollback, and production readiness activities.
Operate and troubleshoot PCF components, including organizations, spaces, routes, buildpacks, service bindings, application manifests, scaling, logs, and platform health.
Use PCF Command Line Interface (cf CLI), platform dashboards, logs, and metrics to investigate application staging, crash, routing, connectivity, and service-binding issues.
Apply SRE practices such as SLIs, SLOs, error budgets, toil reduction, capacity planning, resiliency reviews, and operational readiness checks.
Build and maintain dashboards, alerts, operational runbooks, knowledge articles, support procedures, and service recovery playbooks.
Perform root cause analysis and problem management; translate findings into durable fixes, preventive controls, automation, and measurable service improvements.
Automate repetitive operational tasks using Python, Bash, PowerShell, APIs, or workflow tools to reduce manual effort and improve mean time to recovery.
Participate in on-call support and coordinate effectively with globally distributed development and support teams.

Required Qualifications

5+ years of experience in Site Reliability Engineering, distributed application support, production operations, DevOps, or a related role.
Strong hands-on experience supporting enterprise distributed applications, microservices, REST APIs, and middleware in production environments.
Hands-on experience with Pivotal Cloud Foundry (PCF) including deployments, scaling, routes, buildpacks, manifests, service bindings, logs, and troubleshooting.
Experience with production incident management, problem management, root cause analysis, change management, release support, and post-incident improvement.
Strong troubleshooting skills across Java/JVM-based applications, Linux, HTTP/HTTPS, APIs, load balancers, DNS, certificates, databases, messaging, and network connectivity.
Experience with observability and log-analysis tools such as Splunk, Dynatrace, AppDynamics, Datadog, New Relic, Prometheus, Grafana, or equivalent platforms.
Knowledge of GCP, particularly Cloud Logging, Cloud Monitoring, IAM, VPC, load balancing, GKE, Cloud Run, Pub/Sub, and managed database or storage services.
Proficiency in at least one scripting language such as Python, Bash, or PowerShell, plus experience with Git and YAML-based configuration.
Experience with CI/CD and release tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Concourse, Argo CD, or Cloud Build.
Ability to communicate clearly with application teams, platform engineers, business stakeholders, incident leaders, and offshore support teams.

Preferred Qualifications

Experience with Docker, Kubernetes, GKE, and container troubleshooting.
Knowledge of Terraform or another infrastructure-as-code framework.
Experience with messaging and integration technologies such as Kafka, RabbitMQ, IBM MQ, or API gateways.
Familiarity with automation, self-healing workflows, ChatOps, runbook automation, or AIOps capabilities.
Google Cloud, Kubernetes, ITIL, or SRE-related certification