About The PositionWe are seeking a
Site Reliability Engineer to improve the reliability and operability of the production services and shared platforms supporting our growing
247 SaaS environment. In this role, you will apply software and systems engineering practices to improve
availability, performance, scalability, resilience, observability, incident response, and operational automation. You will 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. If you are passionate about building reliable systems, solving complex production problems, and driving continuous improvement, we want to hear from you.
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; 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
Responsibilities- Own and continuously improve how we use Datadog to make reliability visible and actionable 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 supporting a growing 247 SaaS platform.
- Partner with service owners to define and improve reliability through meaningful SLIs, SLOs, error budgets, actionable alerting, and operational-readiness practices.
- Participate in and help drive incident management for production events, serving as an incident commander or technical responder as needed. Coordinate triage, service restoration, escalation, communication, incident documentation, root cause analysis, and completion of corrective actions.
- Partner with development teams to investigate issues across the 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 analysis of system failure modes.
- Partner with other technical leaders to ensure all newly introduced systems are supportable and maintainable by both development and operations.
- Provide escalated technical guidance and support to other technology teams throughout the organization.
- Provide on-call coverage for production support and other duties as required.
- Ensure supported systems and operational activities comply with organizational security, HIPAA, and operating policies.
- Identify and eliminate repetitive operational toil using Bash, PowerShell, Python, or Ansible. Manage infrastructure as code using Terraform/OpenTofu and configuration automation using Ansible.
Benefits- Competitive salary - $110,000-$150,000
- 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
