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Senior UiPath Platform Lead - Cloud, Automation & Reliability

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Mphasis
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Data Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Role 1:
Senior UiPath Platform Engineer – Automation & Cloud Reliability

Role Focus

Primary owner of enterprise automation platforms, infrastructure reliability, CI/CD, and operational excellence
. This role ensures UiPath, automation services, and supporting infrastructure are secure, stable, scalable, and compliant
.

Key Responsibilities
  • Automation Platform Engineering (Primary)
  • Lead installation, configuration, administration, and optimization of UiPath Automation Cloud and hybrid/on‑prem environments.
  • Own Orchestrator, Maestro, Test Suite, Automation Hub, Insights, Agentic AI integrations, and related components.
  • Lead platform readiness assessments, capacity planning, and onboarding of new automation workloads.
  • Drive platform upgrades, migrations (on‑prem → cloud), patching cycles, and performance tuning.
  • Act as Tier‑3 platform support, leading root‑cause analysis and permanent remediation for production incidents.
  • Cloud, Infrastructure & Reliability Engineering (Primary)
  • Own server and environment provisioning, configuration, patching, and lifecycle management.
  • Design cloud‑ready and hybrid infrastructure supporting automation and AI workloads.
  • Implement scalability strategies, high availability, DR, and SLA‑backed monitoring.
  • Deploy and operate containerized services (Docker/Kubernetes where applicable).
  • Build observability dashboards (Grafana/Splunk/ELK) for uptime, performance, and capacity metrics.
  • Dev Ops, CI/CD & SDLC Enablement (Primary)
  • Design and maintain CI/CD pipelines using Jenkins, Git Hub Actions, and Harness.
  • Automate packaging and deployment of UiPath processes, platform services, and internal tools.
  • Enforce SDLC standards: branching strategies, automated testing, artifact management, and release governance.
  • Integrate pipelines with IAM, secrets management, compliance, and security scanning.
  • Security, Governance & Compliance (Primary)
  • Enforce platform hardening, encryption standards, and least‑privilege access.
  • Remediate vulnerabilities (e.g., PRISMA findings) within SLA.
  • Ensure audit readiness, logging, identity protection, and operational risk compliance.
  • Overlap & Collaboration (Secondary)
  • Review GenAI/AI platform designs for scalability, security, and operability.
  • Provide backup support for internal utilities, APIs, and reporting services.
  • Mentor engineers on platform reliability, Dev Ops, and automation best practices.
Required Qualifications
  • Deep hands‑on experience with UiPath Automation Cloud / Orchestrator.
  • Strong background in cloud platforms, server management, CI/CD, and Dev Ops.
  • Experience with Kubernetes/Docker, monitoring, and enterprise security controls.
  • Working knowledge of C#/.NET, Python, and SQL (supporting and reviewing).
  • Strong incident management, troubleshooting, and cross‑team collaboration skills.
Role 2:
Senior UiPath Platform Engineer – Application & Automation Enablement

Role Focus

Primary owner of In‑house utility development, AI/ML integration, and developer productivity
. This role accelerates business value by building intelligent capabilities on top of stable platforms.

Key Responsibilities
  • In‑House Utility & Backend Development (Primary)
  • Design, build, and maintain internal utilities, APIs, and backend services using:
    • C#/.NET / .NET Core
    • Python (API integration, data transformation, ML utilities)
    • Kafka
  • Develop reusable components, automation accelerators, and shared frameworks.
  • Build backend services supporting dashboards, command centers, monitoring, and reporting tools.
  • Conduct design and code reviews; enforce clean coding and engineering standards.
  • GenAI, LLM & AI Platform Engineering (Primary)
  • Design and implement GenAI‑driven workflows and decision pipelines.
  • Integrate LLM capabilities including prompt engineering, RAG, embeddings, grounding, and model orchestration.
  • Build and deploy AI Center pipelines, custom ML models, and AI‑assisted automations.
  • Evaluate and onboard new AI tools, frameworks, and COTS AI products for enterprise use.
  • Partner with data science, architecture, and security teams to ensure compliant AI deployments.
  • Data, Reporting & SQL Engineering (Primary)
  • Design dashboards for automation performance, AI usage, operational insights, and ROI.
  • Build and maintain…
Position Requirements
10+ Years work experience
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