Site Reliability Engineer - Production Support

Site Reliability Engineer - Production Support

W2 Contract

Pay Rate: $60 - $70 per hour

Location: Cupertino, CA - Remote Role

Duties and Responsibilities:

• 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.

Preferred Qualifications

• 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.

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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