Site Reliability Engineer - Production Support

Bayside Solutions; Cupertino (CA); Remote; USD 83,000 - 96,000; Full time

Job summary

Bayside Solutions in Cupertino, CA is seeking a Site Reliability Engineer - Production Support for a W2 contract role. This remote position requires hands-on production support, incident management, and a focus on service reliability across cloud and data center deployments.

You will monitor health using Splunk, Datadog, and logs; manage incidents through the IM team; and work with Docker, Kubernetes, AWS, and Java in a fast-paced environment with strict SLAs.

Qualifications

• Hands-on production support in SLA-bound environments with real incident history.
• Experience with incident management, triage, escalation, RCA.
• Proficient with Splunk and command-line troubleshooting.
• Proficient in Linux/Unix and containerized workloads.
• Cloud experience focusing on AWS; Azure/AKS acceptable.
• Experience with payments/banking production environments is a plus.

Responsibilities

• Provide production and application support to ensure service reliability.
• Watch service health across production and drive issues to resolution.
• Manage incidents and lifecycle with IM team, meet SLAs.
• Monitor with Splunk and Datadog; investigate anomalies.
• Support cloud and datacenter deployments; assist rollbacks.
• Maintain in-house CD deployment process and scripts.
• Keep Git repos up to date and debug deployment scripts.

Skills

Splunk

Linux/Unix

Docker

Kubernetes

AWS

Datadog

Java

Incident management

NOC

SLAs

Tools

Datadog

Jira

ServiceNow ITSM

Git

Job description

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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