Hosting Lead (Senior Task Lead / Systems Engineer - Hosting) Location: Remote Work - Clearance: Must meet DHS/USCIS background investigation/EOD; support $24x7 after-hours response. Role Summary Lead day-to-day Operations & Maintenance (O&M) across hybrid multi-cloud enterprise, DHS data centers, Equinix data centers, and cloud environments (AWS, Azure, GCP). Own infrastructure readiness, patching, capacity, performance, and Tier II-III incident/problem resolution. Drive automation-first operations and ensure compliance with EIOSS/eAUTO SLAs and AQLs. Key Responsibilities - End-to-End O&M: Own O&M for servers, storage, backup, databases, virtualization, and middleware; ensure operational acceptance with As-Built/VDD/Runbooks. - Patching & Remediation: Lead patching, image baselines, remediation, and hardening for Windows, Red Hat/CentOS, and Solaris. Run integrated patch IPTs with DBAs, Security, and Field Ops. - Infrastructure Management: Manage VMware vSphere, Microsoft Hyper-V, Citrix/VDI, FlexPod, NetApp, and enterprise backup (NetBackup, Backup Exec, Veeam). - Modern Hosting: Run CI/CD-enabled hosting using Jenkins, Harness, Git, and Sonatype; operate OpenShift, Docker, Kubernetes, and UiPath. - Performance Metrics: Deliver bi-weekly health checks and monthly metrics. Meet SLAs/AQLs (e.g., $\ge99.95\%$ availability) and produce capacity/incident reports. - Automation & ITSM: Champion automation (Ansible/Chef) and ServiceNow ITSM/ITOM integration; maintain CMDB accuracy. - Collaboration: Lead collaboration with customers and partners to break down silos and drive automation adoption across Engineering, Security, and the TOC.

• Architect, build, and maintain the core infrastructure for massive, large-scale asynchronous data extraction system. • Design, implement, and continuously optimize sophisticated anti-blocking strategies, IP rotation, fingerprint management, and anti-bot bypass techniques to ensure high reliability and consistent uptime against modern web blocking. • Implement robust monitoring, alerting, and logging systems to proactively debug, troubleshoot, and continuously improve scraper performance, reliability, and data quality across the platform. • Develop, test, and deploy highly robust and fault-tolerant web scraping components using advanced Python tools (Scrapy, Playwright, Selenium, Requests, etc.). • Manage and automate high-volume data ingestion pipelines and seamless integrations with internal and external REST APIs. • Drive DevOps best practices, including managing infrastructure with Docker, Nomad knowledge (a plus), CI/CD pipelines. • Partner with other engineers to set standards, enhance core infrastructure tooling, and mentor junior team members.

• Architect, build, and maintain the core infrastructure for massive, large-scale asynchronous data extraction system. • Design, implement, and continuously optimize sophisticated anti-blocking strategies, IP rotation, fingerprint management, and anti-bot bypass techniques to ensure high reliability and consistent uptime against modern web blocking. • Implement robust monitoring, alerting, and logging systems to proactively debug, troubleshoot, and continuously improve scraper performance, reliability, and data quality across the platform. • Develop, test, and deploy highly robust and fault-tolerant web scraping components using advanced Python tools (Scrapy, Playwright, Selenium, Requests, etc.). • Manage and automate high-volume data ingestion pipelines and seamless integrations with internal and external REST APIs. • Drive DevOps best practices, including managing infrastructure with Docker, Nomad knowledge (a plus), CI/CD pipelines. • Partner with other engineers to set standards, enhance core infrastructure tooling, and mentor junior team members.

• Architect, build, and maintain the core infrastructure for massive, large-scale asynchronous data extraction system. • Design, implement, and continuously optimize sophisticated anti-blocking strategies, IP rotation, fingerprint management, and anti-bot bypass techniques. • Implement robust monitoring, alerting, and logging systems to proactively debug, troubleshoot, and continuously improve scraper performance, reliability, and data quality. • Develop, test, and deploy highly robust and fault-tolerant web scraping components using advanced Python tools (Scrapy, Playwright, Selenium, Requests, etc.). • Manage and automate high-volume data ingestion pipelines and seamless integrations with internal and external REST APIs. • Drive DevOps best practices, including managing infrastructure with Docker, CI/CD pipelines. • Partner with other engineers to set standards, enhance core infrastructure tooling, and mentor junior team members.