Cloud Systems Engineer - Site Reliability
New
T
TherapyNotes LLCBehavioral health SaaS
Workable workplace: remote; Workable locations: Philadelphia, Pennsylvania, United StatesFull-TimeMiddle
Salary110,000 - 130,000 USD per year
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Job Details
- Experience
- 5+ years of engineering experience in Systems Engineering, Cloud or Platform Engineering, DevOps, Software Engineering, and/or SRE.
- Required Skills
- PythonBashKubernetesAzureLinuxDatadogNetworking
Requirements
- BS degree in Information Systems, Engineering, or equivalent experience.
- 5+ years of engineering experience in Systems Engineering, Cloud or Platform Engineering, DevOps, Software Engineering, and/or SRE.
- Experience designing and operating production systems using cloud-based compute, storage, networking, and containerization technologies.
- Strong Linux systems and networking fundamentals, including troubleshooting complex distributed systems in production.
- Expertise with an observability platform; Datadog experience is strongly preferred.
- Experience with scripting and operational automation using Bash, PowerShell, or Python.
- Experience with infrastructure as code and configuration-management practices.
- Experience participating in production on-call rotations, incident response, root cause analysis, and post-incident improvement.
- Experience working in Agile/DevOps environments and operating production services using ITSM practices where applicable.
- Azure and Kubernetes are preferred; Prometheus, Grafana, New Relic, or equivalent observability platforms are valuable.
- Prior software development experience, or experience investigating application behavior through code, logs, and distributed traces, is a plus.
Responsibilities
- Own and improve Datadog observability across metrics, logs, traces, dashboards, monitors, alerts, and service-level views.
- Design, implement, and maintain high-availability, high-throughput systems supporting a 24×7 SaaS platform.
- Partner with service owners to define and improve SLIs, SLOs, error budgets, alerting, and operational readiness.
- Drive production incident management, including triage, restoration, escalation, documentation, root cause analysis, and corrective actions.
- Investigate infrastructure- and application-layer issues using metrics, logs, distributed traces, and code-level context.
- Improve deployment safety and resilience through automated validation, recovery, rollback, reliability testing, and failure-mode analysis.
- Ensure newly introduced systems are supportable and maintainable by development and operations teams.
- Provide escalated technical guidance and support to technology teams, and provide on-call production coverage.
- Ensure supported systems and operational activities comply with security, HIPAA, and operating policies.
- Eliminate repetitive operational toil and manage infrastructure and configuration automation.
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