Provide L2 SRE support for Apigee and microservices: own escalations from L1, perform deep debugging, manage Kubernetes clusters, tune Nginx and API gateway policies, use observability tools to resolve incidents and automate runbook procedures to maintain uptime.
Job Title: Site Reliability Engineer (SRE) – L2 Support
(Apigee + Microservices)
Job Summary
We are seeking an analytical and technically skilled SRE
– L2 Support Engineer with 2 to 3 years of experience specializing in API
management and microservices infrastructure. In this role, you will act as the
escalation point for the L1 monitoring team, taking ownership of deep technical
triage, debugging complex application errors, and optimizing API gateways. You
will focus on maintaining high uptime for critical banking application
platforms, identifying systemic errors, and implementing permanent fixes or
automated workarounds within a fast-paced cloud environment.
Key Responsibilities
L2 Triage & Advanced Incident Management
- Escalation
Ownership: Act as the direct L2 technical escalation point for complex
infrastructure, application, and API connectivity issues routed from L1.
- Deep-Dive
Debugging: Analyze verbose log traces, evaluate application stack
metrics, and dissect error signatures to quickly pinpoint core system
failures.
- Crisis
Collaboration: Partner closely with L3 engineering, backend
application development, and DevOps teams during major (P1/P2) production
incidents to accelerate system recovery.
Apigee & Microservices Management
- Apigee
API Administration: Troubleshoot API proxy execution issues, configure
security policies (OAuth, API keys, spike arrests), resolve SSL handshake
errors, and debug payload routing failures.
- Microservices
Support: Monitor, debug, and trace distributed applications across
complex microservice dependencies using distributed tracing logs.
- Kubernetes
Orchestration: Manage cluster health, troubleshoot pod eviction or
crash loops, view container resource limits, and run diagnostic
deployments utilizing advanced kubectl commands.
Observability, Reliability & Automated Recovery
- Telemetry
Dashboards: Navigate and customize production monitoring workflows
within Datadog, Dynatrace, Prometheus, and Grafana to narrow down
systemic bottlenecks.
- Traffic
Routing: Manage and debug complex reverse proxy, routing, and header
rules configured within enterprise Nginx web servers.
- Runbook
Automation: Draft, refine, and execute technical runbooks and
automated scripts to speed up manual triage and ensure consistent
resolution steps.
Required Qualifications & Technical Skills
- Experience: 2 to 3 years of dedicated hands-on experience in an L2 Application
Support, Infrastructure Engineering, or SRE environment.
- API
Management: Strong hands-on engineering experience configuring and
troubleshooting policies within Google Apigee.
- Microservices
& Containers: Deep familiarity with Microservice architectures
running on Kubernetes (K8s) (e.g., executing container
troubleshooting, reading pod events, managing namespaces).
- Observability
Toolsets: High competence investigating production incidents using
tools like Datadog, Dynatrace, Prometheus, and Grafana.
- Web
Server Architecture: Intermediate understanding of Nginx configuration structures, upstream load balancing, and performance tuning.
- Cloud
& OS Infrastructure: Familiarity navigating Google Cloud
Platform (GCP) systems along with strong Linux/Unix command-line tools for running performance diagnostics.
- Operational
Flexibility: Preparedness to participate in rotating shift schedules
(including weekend support coverage) to secure zero-downtime banking
services.
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