Jobs at Presidio

Manage and support customer mobile device environments through NinjaOne MDM across iOS, Android, and Windows. Responsibilities include device enrollment, policy and compliance administration, application deployment, lifecycle management, troubleshooting, ServiceNow ticket ownership, customer communication, documentation, escalation, process improvement, and on-call support. The role requires strong MDM expertise, endpoint security knowledge, troubleshooting ability, and experience in SLA-driven IT operations.

Administer and maintain the ServiceNow platform across enterprise environments. Configure ITSM modules, workflows, scripts, ACLs, integrations, dashboards, and performance analytics. Execute upgrades and patches, troubleshoot platform and integration issues, conduct health checks and audits, and maintain governance documentation. Collaborate with engineering and service delivery teams to implement scalable configurations and improve service management operations.

Designs, implements, tests, and supports enterprise networking and network security solutions across campus, data center, cloud, hybrid, and lab environments. Responsibilities include routing and switching, SDN, firewalls, VPNs, segmentation, troubleshooting, lifecycle upgrades, technical documentation, customer and vendor coordination, project workstream leadership, mentoring engineers, and improving standards, automation, and operational readiness.

Provides L2 escalation support for end-to-end observability incidents across applications, infrastructure, networks, cloud-native environments, APM, logs, synthetics, and RUM. Performs root cause analysis, configures and tunes Datadog monitors and dashboards, supports major incidents, drives problem management and permanent fixes, automates monitoring tasks, analyzes performance trends, maintains ITSM documentation, and mentors L1 engineers.

Build and maintain Power BI dashboards, reporting cycles, measurement frameworks, and learning analytics for Enterprise Enablement. Develop Power Automate workflows and AI agents to automate repeatable tasks, organize learning data, improve data quality, and standardize processes. Partner with stakeholders to source curriculum and assessment data, evaluate systems, troubleshoot discrepancies, and present actionable insights. The role also requires documentation, project management, and clear communication across global teams.

Build, format, organize, and maintain high-volume content pages and experiences in Showpad. Upload and tag digital assets, apply basic image edits, structure navigation, proofread and QA content, maintain brand consistency, update outdated materials, and manage production requests. Collaborate with enablement, marketing, and content stakeholders to deliver polished, accurate pages efficiently and on schedule.

Serves as the L3 technical authority for enterprise observability, resolving complex cross-domain incidents and leading root cause analysis. Owns Datadog architecture, monitoring standards, SLOs, dashboards, instrumentation, platform governance, cost optimization, and automation. Defines observability coverage across applications, infrastructure, networks, and cloud-native environments. Leads major incident response, post-incident improvements, capacity and performance insights, stakeholder governance, and mentoring of L1/L2 engineers.

The Instructional Designer develops sales and technical enablement programs across workshops, eLearning, assessments, labs, videos, simulations, and job aids. Responsibilities include extracting expertise from subject-matter experts, designing curricula and onboarding programs, creating assessments and rubrics, producing video content, maintaining learning platforms, validating technical accuracy, and managing multiple deliverables. The role requires strong instructional design, visual storytelling, video production, technical fluency, project management, and collaboration skills.

Deploys and configures ServiceNow Now Assist and related enterprise AI capabilities across customer instances. Translates AI architecture plans into workflows, integrations, and platform configurations; prototypes use cases; troubleshoots activation blockers; and drives adoption outcomes. The role also leads customer workshops, training, steering meetings, and executive briefings while documenting implementations and mentoring junior consultants.

Lead AIOps Engineer who architects and delivers AI-driven operations platforms, integrates AI/ML models and RAG/agentic workflows, owns CI/CD and IaC standards, guides containerized Kubernetes strategy, drives observability and automation, leads client engagements, and mentors engineering teams to ensure maintainable, reliable solutions.

The Principal Architect - Digital at Presidio designs and delivers large-scale digital transformation solutions, influencing technology strategy and mentoring teams, while integrating AI and cloud technologies.

The Senior Engineer will develop and expand the AI Studio Platform, design innovative prototypes, collaborate on cloud-native solutions, and research emerging technologies in AI and automation to enhance business outcomes for Presidio's clients.

Design, lead, and execute end-to-end AWS cloud migrations (assess, mobilize, migrate, modernize). Perform discovery, dependency mapping, wave planning, cutovers, rollback, and hypercare. Implement landing zones, IaC, CI/CD integration, migration tooling, and post-migration observability. Provide client-facing architecture, troubleshooting, governance, and mentor junior engineers.

Design and implement secure, reliable AWS cloud architectures and DevOps automation. Define standards, create technical documentation, translate designs for engineering, lead technical delivery, support pre-sales estimation, manage project planning and sprints, mentor team members, oversee migrations, connectivity, security posture, cost optimization and DR planning.

Design and lead AWS cloud architecture and migration projects: define standards, translate designs into implementable IaC and CI/CD patterns, guide DevOps teams, ensure security, DR, cost optimization, and support pre-sales and project management activities.

Designs, builds, and operationalizes AIOps platforms and AI-driven operational workflows. Integrates AI/ML models, implements RAG and agentic AI pipelines, and builds CI/CD and IaC for cloud-native and hybrid environments. Manages containerized workloads, observability standards, and mentors engineers while delivering client-facing solutions to improve reliability, automation, and MTTR.

Lead Azure Data Engineer to design, build, and operate petabyte-scale data systems on Azure. Lead a data engineering team to develop ETL pipelines (ADF, Synapse, Databricks), perform data modelling, migrations, monitoring, security, and collaborate with BI/ML/Product teams while mentoring junior engineers and improving analytics and dashboarding.

Design and manage AI architectures using AWS, develop cloud-native solutions, mentor teams, ensure compliance, and evaluate emerging technologies.

Manage cloud ecosystems across AWS, Azure, and GCP, lead cloud engineers, implement automation and FinOps practices, and ensure compliance and security governance.

As a Senior Solution Owner, lead product delivery by aligning customer needs with technical execution, manage requirements, and guide teams to achieve project goals effectively.