Cloud Systems Engineer – Site Reliability

TherapyNotes, LLC

. Improve the reliability and operability of production services and shared platforms supporting a growing 24×7 SaaS environment .

Posted 11/3/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $110,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in improving the reliability and operability of production services in a 24×7 SaaS environment, utilizing strong systems engineering practices and operational automation. Proficient in incident management, observability, and compliance with security standards such as HIPAA.

Highest-signal resume keywords

Datadog ExpertiseCloud-Based Compute ExperienceInfrastructure As Code Using TerraformScripting With Bash, PowerShell, Or PythonIncident Response And Root Cause Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Systems EngineeringCloud EngineeringDevOpsSoftware EngineeringSRELinux Systems FundamentalsNetworking FundamentalsOperational AutomationObservability PlatformsProduction Systems Design

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

AzureKubernetesTerraformAnsiblePrometheusGrafanaNew Relic

Industry Keywords

SaaSITSMHIPAA ComplianceIncident ManagementOperational Readiness

Tech Stack

Tools & technologies

AnsibleAzureCloudDistributed SystemsGrafanaITSMKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact

Improve the reliability and operability of production services and shared platforms supporting a growing 24×7 SaaS environment
Apply software and systems engineering practices to improve availability, performance, scalability, resilience, observability, incident response, and operational automation
Partner with software development, infrastructure, database, security, and other technology teams to establish measurable reliability goals, reduce operational toil, and ensure services are supportable throughout their lifecycle
Own and continuously improve Datadog usage across metrics, logs, traces, dashboards, monitors, alerts, and service-level views
Design, implement, and maintain high-availability, high-throughput, data- and compute-intensive critical systems
Define and improve SLIs, SLOs, error budgets, actionable alerting, and operational-readiness practices
Participate in and drive incident management, including incident command or technical response, triage, restoration, escalation, communication, documentation, root cause analysis, and corrective actions
Investigate infrastructure and application issues using metrics, logs, distributed traces, and code-level context
Improve deployment safety and service resilience through automated validation, recovery and rollback capabilities, reliability testing, and failure-mode analysis
Ensure newly introduced systems are supportable and maintainable by development and operations
Provide escalated technical guidance and support to technology teams
Provide on-call coverage for production support and other duties as required
Ensure systems and operational activities comply with security, HIPAA, and operating policies
Eliminate repetitive operational toil using Bash, PowerShell, Python, or Ansible
Manage infrastructure as code using Terraform/OpenTofu and configuration automation using Ansible

Requirements

What you’ll need

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; Azure and Kubernetes preferred
Strong Linux systems and networking fundamentals, with experience troubleshooting complex distributed systems in production
Expertise with an observability platform; Datadog experience strongly preferred
Experience with Prometheus, Grafana, New Relic, or equivalent platforms is also valuable
Experience with scripting and operational automation using tools such as Bash, PowerShell, or Python, along 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
Prior software development experience—or experience investigating application behavior through code, logs, and distributed traces—is a plus

Benefits

Comp & perks

Employer sponsored health, dental, vision, life, and disability insurance
Retirement plan with company contribution
Annual company profit sharing
Personal development/training budget
Open, collaborative work environment
Extensive 2-week onboarding plan
Comprehensive mentorship program