> Markdown version of [/jobs/ext/4569508-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/4569508-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - **Company:** HTC Global Services, Inc. - **Location:** Charlotte, NC, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Bash Shell, Cluster Analysis, Data Deduplication, Monitoring of Systems, Python (Programming Language), Reliability Engineering, Datadog, Enterprise Integration, Cloudwatch, Terraform, Splunk, New Relic (SaaS), Pagerduty - **Published:** November 4, 2026 - **Apply:** https://www.thejobnetwork.com/job/568a2b93-77db-4a65-9d7f-9e466d49c85f/site-reliability-engineer ## About the Role * Deep, hands-on experience with PagerDuty, including architectural design, event routing, and advanced configurations. * Familiarity with Moogsoft, including clustering, Situation Room, and ingestion logic. * Strong understanding of how monitoring tools feed into incident management platforms. * Experience working with observability/monitoring tools such as Datadog, New Relic, Splunk, and AWS CloudWatch. * Proficiency in Python, Bash, or Go for utilizing PagerDuty APIs and developing custom integrations. Preferred Qualifications * Experience managing PagerDuty configurations using Terraform / Infrastructure as Code (IaC). ## Description * Lead the migration from Moogsoft and implement PagerDuty as the primary incident intelligence and alerting platform. * Connect existing monitoring tools, including Datadog, New Relic, Splunk, and AWS CloudWatch, directly into PagerDuty. * Configure PagerDuty Event Orchestration, deduplication rules, and alert suppression to minimize alert fatigue. * Build automated incident response workflows, on-call schedules, escalation policies, and bidirectional ChatOps integrations with Slack and Teams. * Create runbooks for the new system. * Train engineering teams on PagerDuty best practices. * Support a seamless transition with zero downtime to live production monitoring.