Cloud Systems Engineer – Site Reliability

TherapyNotes, LLC

. Own and continuously improve use of Datadog across metrics, logs, traces, dashboards, monitors, alerts, and service-level views .

Posted 9/18/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $110,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Systems Engineering and Cloud Engineering, with a strong focus on operational reliability, incident management, and automation. Proficient in using Datadog for observability and managing infrastructure as code with Terraform and Ansible.

Highest-signal resume keywords

Datadog ExpertiseInfrastructure As CodeIncident ManagementCloud-Based TechnologiesScripting Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Systems EngineeringCloud EngineeringDevOpsSRELinux SystemsNetworking FundamentalsScripting (Bash, PowerShell, Python)Infrastructure As Code (Terraform)Observability PlatformsProduction Systems Design

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

DatadogAzureKubernetesPrometheusGrafanaNew RelicAnsible

Certifications & Qualifications

BS Degree in Information SystemsBS Degree in Engineering

Industry Keywords

SaaS PlatformOperational ReadinessSLIsSLOsError BudgetsITSM PracticesHIPAA Compliance

Tech Stack

Tools & technologies

AnsibleAzureCloudDistributed SystemsGrafanaITSMKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact

Own and continuously improve use of Datadog 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 for a 24×7 SaaS platform
Partner with service owners to define and improve reliability through SLIs, SLOs, error budgets, actionable alerting, and operational-readiness practices
Participate in incident management as incident commander or technical responder, coordinating triage, restoration, escalation, communication, documentation, root cause analysis, and corrective actions
Investigate issues across infrastructure and application layers 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 organizational 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 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