Cloud Systems Engineer – Site Reliability

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Enhance the reliability and functionality of production services and shared platforms that support a continuously evolving 24×7 SaaS environment.

• Utilize software and systems engineering methodologies to boost availability, performance, scalability, resilience, observability, incident response, and operational automation.

• Collaborate with software development, infrastructure, database, security, and other technology teams to set measurable reliability objectives, minimize operational toil, and ensure services are maintainable throughout their lifecycle.

• Take ownership of and continuously refine Datadog utilization across metrics, logs, traces, dashboards, monitors, alerts, and service-level views.

• Design, implement, and sustain high-availability, high-throughput, data- and compute-intensive critical systems.

• Define and enhance SLIs, SLOs, error budgets, actionable alerting, and operational-readiness practices.

• Engage in and lead incident management, which includes incident command or technical response, triage, restoration, escalation, communication, documentation, root cause analysis, and corrective actions.

• Investigate infrastructure and application challenges utilizing metrics, logs, distributed traces, and code-level context.

• Enhance deployment safety and service resilience through automated validation, recovery and rollback capabilities, reliability testing, and failure-mode analysis.

• Ensure that newly implemented systems are maintainable and supportable by both development and operations teams.

• Provide escalated technical guidance and support to technology teams.

• Deliver on-call support for production and other responsibilities as required.

• Ensure that systems and operational activities adhere to security, HIPAA, and operational policies.

• Eliminate repetitive operational tasks using Bash, PowerShell, Python, or Ansible.

• Manage infrastructure as code through Terraform/OpenTofu and automate configuration using Ansible.

⛳️ Requirements

• Bachelor’s degree in Information Systems, Engineering, or equivalent experience.

• Over 5 years of engineering experience in Systems Engineering, Cloud or Platform Engineering, DevOps, Software Engineering, and/or SRE.

• Proficient in designing and operating production systems utilizing cloud-based compute, storage, networking, and containerization technologies; Azure and Kubernetes experience preferred.

• Solid understanding of Linux systems and networking fundamentals, with experience in troubleshooting complex distributed systems in a production environment.

• Expertise with an observability platform; experience with Datadog is strongly preferred.

• Familiarity with Prometheus, Grafana, New Relic, or similar platforms is also beneficial.

• Experience in 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 enhancements.

• Experience in Agile/DevOps environments and operating production services utilizing ITSM practices where applicable.

• Previous software development experience—or experience in investigating application behavior through code, logs, and distributed traces—is a plus.

🏝️ Benefits

• Employer-sponsored health, dental, vision, life, and disability insurance.

• Retirement plan with company contributions.

• Annual company profit sharing.

• Personal development and training budget.

• Open, collaborative work environment.

• Extensive 2-week onboarding program.

• Comprehensive mentorship program.