Senior UiPath Platform Engineer

Key Responsibilities

• Automation Platform Engineering (Primary):
  • Lead installation, configuration, administration, and optimization of UiPath Automation Cloud and hybrid/on-prem environments.
  • Owning 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.
  • 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.
• DevOps, CI/CD & SDLC Enablement (Primary):
  • Design and maintain CI/CD pipelines using Jenkins, GitHub 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, DevOps, 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 DevOps.
• 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.

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 reporting pipelines using SQL, Python, ETL, and UiPath Insights.
  • Serve as SQL SME: schema reviews, query optimization, and data accuracy validation.
  • Deliver automated reports for leadership, audit, and operational teams.
• DevOps & Platform Alignment (Secondary):
  • Contribute to CI/CD pipelines for AI models, utilities, and services.
  • Ensure applications align with platform standards for deployment, monitoring, and security.
  • Collaborate with the Automation & Cloud Reliability Engineer on release and rollout planning.
• Collaboration, Enablement & Knowledge Sharing (Secondary):
  • Work in Agile teams delivering prioritized automation and AI capabilities.
  • Mentor engineers on GenAI, automation frameworks, and backend development.
  • Lead technical workshops, demos, and documentation for reusable assets.

Required Qualifications

• Hands-on experience with GenAI / LLM integrations (RAG, embeddings, prompt engineering).
• Strong development skills in C#/.NET, Python, REST APIs, and backend services.
• Advanced SQL and analytics experience.
• Familiarity with CI/CD pipelines and secure SDLC practices.
• Working knowledge of UiPath ecosystem and automation platforms.