Senior UiPath Platform Lead - Cloud, Automation & Reliability
Job in
Durham, Durham County, North Carolina, 27703, USA
Listed on 2026-05-31
Listing for:
Mphasis
Full Time
position Listed on 2026-05-31
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer, Data Engineer, Cybersecurity
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
.
- 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.
- 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.
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.
- 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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