Site Reliability Engineer - Production Support

Bayside Solutions

Cupertino, CA, United States

18 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$124,800.0 - $145,600.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) JIRA Microsoft Azure Command-Line Interface Continuous Integration Software Debugging Linux Domain Name System (DNS) Intrusion Detection and Prevention Python (Programming Language) Network Troubleshooting Ansible

+15 more

Shell Script Datadog SSL Certificate Management Transport Layer Security Load Balancing Git Containerization Kubernetes Low Latency Puppet Terraform Splunk Docker Jenkins Servicenow

Job description

Production support / application support / NOC / service reliability / incident management. Screen out: security analysts whose Splunk work is log-based threat detection.
Watch service health across production; catch, triage, and drive issues to resolution.
Run production support against SLAs and work the incident lifecycle directly with the incident management (IM) team.
Monitor and investigate using Splunk (and Datadog, where in play).
Support the application stack in cloud and datacenter environments.
Non-prod and prod deployments using our in-house CD tool; monitor deployments and roll back / debug when they fail.
Keep Git repos current; debug deployment scripts.

Requirements and Qualifications:

Hands-on production support/application support in an SLA-bound environment. Must be able to describe what they personally did during a real incident.
Incident management experience: triage, severity assessment, escalation, bridge participation, driving to resolution, RCA follow-up. Direct interaction with an IM team.
Splunk is required. They will be asked what commands/searches they run.
SOC/production monitoring
Troubleshooting depth demonstrable at the command line: log tracing, connection failures, latency, service crashes. Conceptual answers fail here.
Linux/Unix fluency.
Containerized workloads: Docker + Kubernetes (managing, not just using)
Cloud: AWS primary; Azure/AKS acceptable and precedented. Datadog - Naveen called it out as a plus point. New to this team’s stack vs. prior reqs in Lighthouse is likely a growing surface.
Payments/banking production environment (card networks, Visa/Mastercard, wallets, issuer/acquirer processing).
Java application troubleshooting.

Requirements

CI/CD tooling - Jenkins, specifically, can debug the scripts behind a deployment, not just trigger one.
Python and/or shell scripting for automation and runbook work.
Load balancers, SSL/TLS and certificate management, DNS, and general network troubleshooting.
Config management (Ansible/Chef/Puppet), autoscaling design in Kubernetes.
Terraform / infrastructure-as-code exposure.
ServiceNow / Jira or equivalent ITSM incident tooling; ITIL familiarity.