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Sr. UiPath RPA Developer
- Insight Global (San Francisco, CA)
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Job Description
We are seeking a senior UiPath RPA engineer to join our team as a full-time contractor (3–6 months).
This role focuses on building internal, production-grade enterprise automation systems.
We are looking for a highly experienced individual who can onboard quickly and operate as a core engineering team member.
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Design and build robust UiPath automations
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Implement unattended bots, queues, and orchestration
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Automate legacy systems, web apps, APIs, and backend services
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Handle long-running processes and human-in-the-loop scenarios
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Ensure production readiness (logging, retries, resilience)
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Provide architecture-level guidance
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Become productive within 1–2 weeks
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
5–10+ years of experience with strong UiPath depth
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Proven enterprise UiPath production deployments
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Strong knowledge of Orchestrator, queues, and REFramework
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Experience with Windows, Citrix, and VDI automation
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Programming skills in C# and/or Python
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Experience in hybrid on-prem and cloud environments
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